Total 410 test engineer job vacancies in George Town

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Research Engineer to develop and deploy advanced AI systems that translate cutting-edge research into scalable real-world applications.

The successful candidate will work closely with research scientists to implement, optimize, and operationalize AI models across healthcare and biomedical domains. This role combines software engineering, machine learning, and systems engineering to bridge the gap between research and deployment.

Key Responsibilities

AI System Development

• Design, develop, and maintain machine learning and deep learning systems.
• Implement state-of-the-art AI algorithms from research prototypes into production-quality software.
• Build scalable data processing and model training pipelines.
• Develop multimodal AI systems integrating text, image, video, sensor, and structured data.
• Optimize model training, inference, and deployment workflows.

Research Translation

• Collaborate with AI researchers to translate novel algorithms into robust software solutions.
• Reproduce and benchmark research models.
• Develop reusable AI frameworks, libraries, and tools.
• Support experimentation, model evaluation, and performance optimization.

Software & Infrastructure Engineering

• Design scalable cloud and on-premise AI infrastructure.
• Develop APIs, backend services, and model-serving platforms.
• Implement automated testing, monitoring, and CI/CD pipelines.
• Support large-scale distributed training and inference systems.

Deployment & Integration

• Deploy AI solutions into healthcare, scientific, and enterprise environments.
• Integrate AI systems with operational workflows and external platforms.
• Develop monitoring tools for model performance and reliability.
• Support technology transfer and production deployment activities.

Requirements

Essential

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or related disciplines.
• Strong programming skills in Python.
• Experience with PyTorch, TensorFlow, or similar machine learning frameworks.
• Experience in software engineering best practices.
• Familiarity with Linux, Git, and software development workflows.
• Strong problem-solving and system design skills.

Preferred

• Experience with:Large Language ModelsMultimodal AIComputer VisionMLOps platformsCloud Computing (AWS, Azure, GCP)Containerization (Docker, Kubernetes)Distributed ComputingGPU Computing

What We Offer

• Opportunity to work on cutting-edge AI technologies with real-world impact.
• Access to world-class computational infrastructure and research facilities.
• Collaboration with leading researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting innovation, learning, and career growth.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

The position requires engineer to carry out tasks related to the support of broadcast and broadcast IT related equipment and systems, including activities such as manning of support hotline, system diagnosis, remediation and monitoring, system administration, patching and preventive maintenance. In addition, the position is required also to support the planning and implementation of broadcast IT system projects.

• Provide technical support to broadcast equipment and systems in News Studios & News Post Production and asset management system, Outside Broadcast production van, News Room Computer System and etc.
• Document, communicate, collaborate, and handle fault incidents
• Assess system vulnerabilities and provide guidance, remediate and mitigate any reliability and security risks
• Perform troubleshooting and repair of broadcast equipment and system.
• Perform preventive and corrective maintenance broadcast and IT equipment.
• Work with different business units to provide technical solutions to enhance existing operation and setup
• Evaluate and recommend new broadcast IT equipment and system.
• Support project implementation of broadcast IT system and infrastructures including the support in drafting of technical specifications and costings documentations.
• Perform shift and standby duty to support broadcast system and infrastructures.

• Degree in Information Technology, Information Systems, IT Security or equivalent. CCNA, Certification in Information Technology networking field is an advantage.
• Candidate without the required academic qualifications but with at least 3 years of relevant experience in IT, Broadcast or Media Production related field are welcome to apply.
• Microsoft certifications such as MCSA preferred
• Project management experience preferred.
• Basic understanding of cloud / enterprise system architecture
• Network troubleshooting skills of IT devices maintenance and experience with management and configuration of networking devices (switches, routers, firewalls) will be preferred.
• Perform shift and standby duty to support broadcast system and infrastructures.

Key Responsibilities:

• Responsible for the architecture design, RTL encoding (Verilog/SystemVerilog), and functional verification of digital control logic in 3D-NAND memory;
• Design a state machine (FSM) to manage complex NAND operation processes (such as Program, Read, Erase, Copy-back, Suspend/Resume, etc.);
• Develop a command decoder and address/parameter parsing logic to ensure compliance with JEDEC and internal specifications;
• Implement high-precision timing control logic to accurately generate the internal timing signals required for various operations (such as tR, tPROG, tBERS, etc.);
• Deeply involved in the physical layer and link layer logic implementation of ONFI (Open NAND Flash Interface) or Toggle Mode interface protocols, supporting DDR, NV-DDR, NV-LPDDR, and other modes;
• Collaborate with the analog/mixed-signal team to define array access timing, voltage switching windows, and read/write path control interfaces;
• Collaborate with firmware (FW) and system architecture teams to develop register maps, interrupt mechanisms, error handling strategies, and debug interfaces;
• Support UVM verification environment setup, provide Design for Testability (DFT) support, and participate in FPGA prototyping;
• Participate in chip bring-up, post-silicon debugging, and performance optimization to ensure products meet specification requirements.

Required Qualifications:

1. Education: Master's degree or above
2. Major: Microelectronics and Integrated Circuits, Electrical Engineering, Computer Engineering, or related fields;
3. Other Requirements:

• Minimum 5 years digital IC design experience, experience in NAND Flash or SSD controller projects is a plus;
• In-depth understanding of ONFI 4.x or Toggle 2.0/3.0 protocol specifications, with practical interface IP development or integration experience;
• Experience in control logic design under 3D-NAND or TLC/QLC architectures is a plus;
• Familiar with ECC control interfaces (such as LDPC/BCH engine scheduling and interaction);
• Excellent cross-functional collaboration skills, able to communicate efficiently with simulation, firmware, verification, testing, and product teams to jointly develop technical solutions.
• Experience with successfully tape-out and mass-produced memory chip projects is a plus.

Key Responsibilities:

• Lead the architecture design (e.g. memory cells, select transistors, and peripheral devices), process integration, electrical characterization, modeling and simulation, failure analysis for 3D NAND devices.
• Design and execute DoE, analyze the impact of process variations on device performance and reliability (such as durability and data retention), and propose improvement solutions.
• Collaborate with the process development team to assess new device architectures, driving technology iteration.
• Write detailed technical reports and support customers or internal teams in resolving related technical issues.

Required Qualifications:

1. Education: Master's degree or above
2. Major: Microelectronics, physics, material science & engineering, chemistry;
3. Other Requirements:

• 8+ years of semiconductor device work experience, 3+ years of 3D NAND work experience.
• In-depth knowledge of 3D NAND device physics, familiar with its principles, failure modes, and reliability mechanisms.
• Troubleshooting, and problem-solving capabilities, with experience in successfully improving device performance or yield.
• Familiar with advanced semiconductor manufacturing processes and integration flows.
• Strong cross-team communication and collaboration skills.

Job Summary

Job Purpose

The Knowledge Engineer will be responsible for designing, constructing, and maintaining knowledge graphs derived from heterogeneous enterprise documents. The role involves leveraging Large Language Models (LLMs) for knowledge extraction, ontology-driven structuring, and question answering over knowledge graphs to support intelligent search, reasoning, and decision-making systems.

Key Responsibilities

• Leverage LLMs to extract structured knowledge (entities, relations, attributes) from unstructured and semi-structured documents such as:Maintenance manualsProduct design documentsTroubleshooting guidesLessons learned reports
• Process documents in multiple formats, including Word, PDF, PowerPoint, and Excel.
• Design, construct, and maintain knowledge graphs, including:Schema and ontology designEntity and relationship modellingData normalisation and validation
• Implement and manage knowledge graph storage using graph databases such as Neo4j and GraphDB.
• Develop LLM-powered question answering and interaction pipelines over knowledge graphs, enabling:Natural language queriesContext-aware and explainable responses grounded in structured knowledge
• Collaborate with domain experts and stakeholders to refine ontologies, extraction logic, and use cases.

Required Skills & Experience

• Strong understanding of ontology design, knowledge graph modeling, and semantic data representation.
• Proficiency in Python, with experience building data processing and NLP pipelines.
• Solid understanding of prompt engineering and LLM-based workflows.
• Hands-on experience working with LLMs, including both:Closed-source models (e.g., GPT-based APIs)Open-source models (e.g., LLaMA, Qwen, etc.)
• Experience with graph databases, particularly Neo4j and/or GraphDB.

Preferred / Advantageous Skills

• Experience in information extraction, document understanding, or NLP pipelines.
• Familiarity with RDF, OWL, SPARQL, or Cypher is a plus.
• Experience integrating LLMs with structured knowledge sources (e.g., KG-augmented QA, RAG with graphs).

Key Competencies & Attributes

• Strong analytical and problem-solving skills, with the ability to translate unstructured information into well-defined data models.
• Ability to work independently while collaborating effectively within a multidisciplinary team.
• Good communication skills to engage with technical and non-technical stakeholders.
• Demonstrated willingness to continuously learn and keep up with advances in LLMs, NLP, and knowledge engineering.

Job Summary

The Institute of High Performance Computing (IHPC), A*STAR, was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

We are looking for a motivated and versatile individual to join the Healthcare team. The role will support the development, adoption, and continuous improvement of reusable AI assets and platforms through ecosystem engagement, platform operations, product thinking and practical UI/UX capability.

Research Engineer (Reusable Healthcare AI Assets)

The successful candidate will work closely with researchers, engineers, product owners, healthcare and public-sector stakeholders, and industry partners to identify user needs, translate them into actionable platform requirements, and drive the adoption of reusable AI assets. The role is suitable for someone who can engage stakeholders effectively, structure feedback into product and operational priorities, and contribute to simple, intuitive user journeys, wireframes, prototypes, dashboards, and documentation for AI platforms.

Requirements

• Experience in at least one of the following areas: AI/ML platform delivery, product or platform operations, technical project management, ecosystem or stakeholder engagement, developer relations, digital transformation, UI/UX design, or technology adoption.
• Working understanding of AI/ML systems, data-driven applications, software platforms, APIs, cloud environments, MLOps, or reusable software/assets. Deep research specialisation is not required, but the candidate must be comfortable working with technical teams.
• Ability to translate between domain needs, user pain points, operational constraints, and technical implementation requirements.
• Practical exposure to user research, journey mapping, wireframing, prototyping, usability testing, information architecture, or interface review.
• Strong written and verbal communication skills, with the ability to explain technical capabilities and trade-offs to both technical and non-technical audiences.
• Good planning, coordination, and stakeholder management skills, with the ability to manage multiple workstreams independently in a fast-moving environment.

Preferred qualifications (one or more of the following)

• Experience in healthcare, biomedical, public-sector, or regulated digital systems.
• Hands-on experience with UI/UX or prototyping tools such as Figma, Miro, FigJam, Balsamiq, or equivalent.
• Ability to build lightweight prototypes, demos, or dashboards using tools such as React, JavaScript/TypeScript, HTML/CSS, Streamlit, Gradio, Dash, Tableau, Power BI, or similar.
• Experience managing reusable asset catalogues, platform onboarding journeys, technical documentation portals, design systems, knowledge bases, or developer-facing resources.
• Familiarity with agile delivery and collaboration tools such as Jira, Confluence, Git, GitHub/GitLab, or equivalent.
• Awareness of responsible AI, model evaluation, AI safety, data privacy, cybersecurity, and governance considerations for AI systems.

Interested applicants should submit their curriculum vitae, together with a short cover note describing relevant experience in ecosystem engagement, platform operations, AI/ML systems, and UI/UX or product-related work. The level of appointment will be commensurate with experience.

For applicants, please send your curriculum vitae to Dr Ricardo Shirota Filho (ricardo_shirota_filho@a-star.edu.sg)

Job description

Work directly with the technical director to develop electrical and electronic systems for inspection tools and other products

Design, build and test electrical, electronics, sensors and other systems for performance

Analyse designs and prototypes, to account for tolerance, precision, to meet specification requirements.

Work with other team members to integrate electronic designs onto practical systems with optical and mechanical systems.

Requirements

Master’s/PhD in electronic engineering or related disciplines with relevant experience in programming, EDA, FPGA, etc.

Ability to use commercial softwares to design and optimise electronic systems, ensuring that designs work according to specifications

Strong fundamental knowledge in electronics and relevant technologies such as optical sensors. Knowledge in other relevant disciplines such as physics, chemistry, material science etc. is a plus.

Capable and willing to design, build and test complex electronic setups from proof of concept to implementation on products.

Must have experience in setting up, troubleshooting and optimising electronic systems.

Must be an exceptional team player, willing to go the extra mile for high performing teams.

Must have adaptability to solve difficult problems with like minded team members.

At least 2 years of relevant working experience

The Associate SoftwareTesting Engineer will be responsible for the Software Test design andexecution for the applications under test and will closely work with the QAManager, Business/Functional Analyst and Project Manager through the ProjectLife Cycle. The individual should have a strong understanding of Agile andwaterfall models

• Experience in Software Development Life Cycle Process (SDLC) , Software Testing Lifecycle (STLC) ,Test Methodologies and defect life cycle.
• Knowledge and experience in analysing Software Requirement Specification and identifying and creating  the required test scenarios, test cases, test data and document traceability matrix to ensure sufficient test coverage.
• Experience in executing test cases and test plans to support the quality assurance activities throughout the software lifecycle.
• Able to perform defect reporting and verification of the fixes.
• Effective Communication with strong interpersonal skills and good analytical, problem solving skills.
• Healthcare domain knowledge.
• Experience in testing mobile apps.
• Able to conduct Test Readiness Review (TRR) to ensure readiness of the test phase.
• Experience in API testing using postman.
• Knowledge of SQL and scripting.
• Hands-on experience and expertise with test management tool.
• Development /scripting skills in programming languages which are compatible for Selenium WebDriver such as Java/C#/Python.
• Experience in Automation of Web Applications.
• Good Knowledge in using Version control Management tools such as Bitbucket, GitHub and sound understanding of the code review process.
• experience in manualtesting, with at least 2-3 years focused on Microsoft Dynamics CRM 365
• Strong knowledge of Dynamics CRM functionality, including sales, marketing, service, and custom modules.
• Analyse business requirements and translate theminto detailed test cases for Microsoft Dynamics CRM 365 applications
• Execute test cases manually, including functional, integration, and regression testing for Microsoft Dynamics CRM modules.
• Identify, document, and track defects/issuesfound during testing in defect management tools like Jira, Azure DevOps, etc.

Requirements

• Bachelors Degree in Computer science or related field 
• 5-10 years of Testing experience
• Effective Communication with strong interpersonal skills and good analytical, problem solving skills.
• Healthcare domain knowledge (good to have)
• Basic knowledge of automated testing tools and scripting is an advantage.
• Experience in testing integrations with other Microsoft technologies

Job description

Work directly with the technical director to develop efficient algorithms for machines

Design, build and test computing systems for speed and performance

Derive computation methods with portable code for integration on complex systems, taking into consideration hardware used

Work with other team members to integrate computing systems onto practical systems with optical and mechanical systems.

Requirements

Degree/Master’s/PhD in computer science or related disciplines with relevant experience in programming, EDA, FPGA, etc.

Ability to code in C. Hardware optimisation for computations is a plus.

Ability to understand equations and solution methods to implement on complex systems

Understand how to apply AI and machine learning algorithms to practical problems

Must be an exceptional team player, willing to go the extra mile for high performing teams.

Must have adaptability to solve difficult problems with like minded team members.

Fresh graduates welcome.

We are seeking an experienced Lead Engineer-Water Solutions / Testing & Commissioning to lead the testing, pre-commissioning, commissioning, and start-up of Ultra Pure Water (UPW) systems for high purity applications in semiconductor and advanced manufacturing environments.

Key Responsibilities:

• Develop and execute commissioning procedures, test plans, and protocols for UPW systems

• Perform pre-commissioning activities (flushing, hydrotesting, leak testing, chemical cleaning)

• Conduct functional testing for systems including RO, EDI, ion exchange, UV, degasification, and ultrafiltration

• Validate system performance against design specifications and client requirements

• Troubleshoot issues and support system start-up and handover

• Prepare commissioning documentation and reports

Requirements:

• Degree in Chemical, Mechanical, or Environmental Engineering

• At least 10 to 15 years of experience in UPW systems or advanced water treatment

• Hands-on commissioning experience for large-scale UPW plants

• Strong knowledge of RO, EDI, mixed bed, and polishing loop systems

• Familiar with SEMI standards and high-purity system design

Preferred Skills:

• Experience in semiconductor fab utilities (UPW, WWT, reclaim)

• Knowledge of water quality parameters (TOC, resistivity, conductivity, silica)

• Familiarity with PLC/SCADA systems

• Ability to read P&IDs and engineering drawings

My client:

My client is a well-established technology company building large-scale, consumer-facing digital platforms used by millions of users globally. The team is highly engineering-driven, with strong emphasis on system reliability, automation, and operational excellence. This role offers the opportunity to work on production-critical systems, collaborate closely with backend and platform engineers, and take real ownership of reliability and infrastructure in a fast-moving, high-impact environment.

Job Responsibilities:

• Ensure high availability and reliability of production systems supporting large-scale online services.
• Own core operational functions including resource management, incident response, capacity planning, monitoring, and reliability improvements.
• Review system and infrastructure designs, proactively identifying potential reliability and scalability risks.
• Analyze system bottlenecks and structural weaknesses, and lead optimization initiatives to improve stability and cost efficiency.
• Participate in 24/7 on-call rotations, responding quickly to production incidents and driving root cause analysis.
• Continuously improve operational processes through automation, reducing manual intervention and operational overhead.

Job Requirements:

• Bachelor’s degree in Computer Science or a related technical field.
• Proficiency in Python, Go, or Shell scripting, with the ability to independently build tools or platforms.
• Solid experience with cloud infrastructure; exposure to multi-cloud or hybrid environments is a plus.
• Strong fundamentals in Linux systems, networking, load balancing, and high-availability / disaster recovery design.
• Hands-on experience operating or supporting large-scale web services in production environments.
• Self-motivated, responsible, and comfortable working in a fast-paced, reliability-critical environment.

What They Offer

• A large-scale, production-grade technical environment supporting high-traffic, consumer-facing platforms.
• A stable yet fast-evolving engineering environment with long-term technical depth and learning potential.
• Close collaboration with experienced engineers in a flat, open, and execution-focused team culture.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

www.dadaconsultants.com

EA Registration Number: R2197058

Business Registration Number: 201735941W. Licence Number: 18S9037

YOUR NEW JOB

As a Security Operations Engineer, you will support Security Operations Centre (SOC) activities, including security monitoring, incident investigation, threat hunting, and incident response.
You will act as a Level 2 security analyst, investigating alerts, identifying threats, supporting remediation activities, and improving overall security operations.
This is a 12-month renewable contract role. Work will be onsite at One-North, Mon – Fri office hours.

WHAT YOU’LL BE DOING

• Investigate and triage security alerts from SIEM, EDR/XDR, email, cloud, identity, and network security platforms
• Analyse security events to determine root cause, scope, and business impact
• Investigate phishing, malware, account compromise, and unauthorized access incidents
• Perform threat hunting activities using threat intelligence and MITRE ATT&CK methodologies
• Support containment, remediation, and recovery activities during security incidents
• Improve SOC processes, playbooks, detection rules, and monitoring capabilities
• Assist with onboarding and integration of new security technologies
• Support security reporting and documentation activities
• Participate in after-hours support when required

WHAT IS NEEDED FROM YOU

• At least 3 years of SOC, cyber security operations, or incident response experience
• Hands-on experience with SIEM, EDR/XDR, cloud security, or identity security platforms
• Strong understanding of cyber attack techniques, threat analysis, and MITRE ATT&CK
• Experience investigating and responding to security incidents independently
• Good analytical, troubleshooting, and problem-solving skill• Strong communication and documentation skills

WHAT WILL MAKE YOU STAND OUT

• Experience working in government, statutory board, or public sector environments
• Experience with threat hunting and advanced incident investigations
• Exposure to security automation, detection engineering, or SOC optimisation projects
• Relevant certifications such as Security+, CySA+, GCIH, GCIA, CEH, SC-200, or equivalent

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Qualifications

Job responsibilities

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Share in-depth Google Cloud expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
• Lead prospecting and acquisition of new logos, creating and building customer relationships from scratch, and establishing yourself as a trusted advisor on their long-term technology and business decisions. 

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience with cloud native architecture in a customer-facing or support role.
• Ability to communicate in English and Vietnamese fluently to engage with clients in the region.

Preferred qualifications

• Experience working with, and passion for, the small medium business and startup ecosystem.
• Experience prospecting, building and maintaining new customer relationships from scratch, with excitement for building out greenfield territories.
• Understanding of common systems management concepts such as image management, patching, automated deployment, etc.
• Understanding of security concepts such as encryption, identity management, access control, attack vectors, and pen testing.

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. 

Job description

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Additional job description

As a Practice Customer Engineer (CE) with a specialty in AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas in partnership with platform CEs, writing code, developing prototypes, proofs-of-concept, and demos to promote new specialized solutions to customers. You will solve AI-centered customer issues and provide a critical feedback loop to influence product development. You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales skills, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.

Qualifications

Job responsibilities

• Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp.
• Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-to-Market team.
• Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.
• Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.

Minimum qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like RAG, Text-to-SQL, and semantic search.
• Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.
• Ability to communicate in Thai fluently to engage and support Thai speaking customers to navigate industry standards.

Preferred qualifications

• Experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).
• Experience with cloud technologies including SaaS applications, iPaaS, business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) gateways.
• Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. 

Job description

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Additional job description

As a Practice Customer Engineer (CE) with a specialty in AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas in partnership with Platform CEs, writing code, developing prototypes, proofs-of-concept, and demos to promote new specialized solutions to customers. You will solve AI-centered customer issues and provide a critical feedback loop to influence product development. You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will blend business skills, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.

Qualifications

Job responsibilities

• Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp.
• Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
• Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.
• Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.

Minimum qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like Retrieval-Augmented Generation (RAG), Text-to-SQL, and semantic search.
• Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.

Preferred qualifications

• Experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Experience with cloud technologies including SaaS applications, iPaaS, business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking.
• Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) Gateways.
• Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.