Total 2 process development engineer job vacancies in Others category in The Philippines

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.

Job description

As a Global System Integrator (GSI) Partner Engineer, you will partner with GSI Partner development and Sales teams to differentiate Google Cloud to our key GSI partners. You will serve as the GSI partner’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business challenges. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business challenges. You will drive the technical win with the GSI Partner and assist the GSI Partner to define the delivery and consumption plans. You will use your strategic acumen and presentation skills to engage with technical and business leaders, and present solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

You will focus on identifying, pursuing, and winning new business workloads and driving engagement within existing ones as a technical generalist, spanning infrastructure modernization, application modernization, data analytics and more. You will blend business prowess, market knowledge and technical engagement to prove the value of the Google Cloud portfolio.

Qualifications

Job responsibilities

• Develop and own the GSI Partner technical strategy, participating in planning and supporting business initiatives.
• Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and workshops.
• Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase.
• Plan and support the GSI Partner in building, developing and enhancing their Google Cloud Practice.
• Be the Technical point of contact for GSI partner for product and solution enquires, working in conjunction with Product and Support specialists within Google Cloud Platform (GCP).

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Experience in managing GSI Partners or other Channel Partners as a Technical Alliance lead or engineer.

Preferred qualifications

• Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security.
• Experience driving the entire business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).
• Experience building technical strategies to uncover new workloads with customers.
• Experience migrating applications and services to cloud platforms.
• Experience translating customer objectives into integrated Cloud solutions across multiple domains.

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

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset, and you will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

Qualifications

Job responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment.
  
• Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
  
• Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Translate technical concepts to non-technical and executive Mandarin-speaking audiences.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  
• 5 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
  
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Ability to communicate in Mandarin fluently in order to communicate in this customer-facing role.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  
• Experience leading technical discovery sessions.
• Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.