About OneByZero
OneByZero is a Frontier Systems Integrator building agentic AI systems for leading banks, telcos, insurers, and retailers across Asia Pacific. We work on mission-critical problems for organizations operating the region's financial and digital infrastructure. Operating exclusively on AWS, we combine deep technical expertise with strong partnership programs that enable innovation, scale, and delivery excellence. We build with people who are technically serious, outcome-focused, and passionate about solving complex enterprise challenges.
The Role
The Forward Deployed Architect (Agentic AI) serves as the technical authority for client engagements involving agentic AI systems. Embedded within client environments, you will own the architecture and delivery of enterprise-scale AI solutions from concept through production deployment.
You will design and govern multi-agent systems operating in highly regulated industries, ensuring reliability, security, auditability, and business value. This includes determining orchestration approaches, tool integrations, human oversight mechanisms, evaluation frameworks, monitoring strategies, and production governance.
You will work across AWS Bedrock, Agent Core, frontier AI models, orchestration frameworks, and evaluation tooling while helping clients navigate the rapidly evolving AI landscape and make informed architectural decisions.
This is a hands-on role requiring architectural leadership, technical design, prototyping, code reviews, and direct engagement with executive stakeholders.
Key Responsibilities
Agentic AI Architecture
- Design and own enterprise-scale agentic AI architectures.
- Develop multi-agent orchestration patterns, tool integrations, memory management, retrieval systems, evaluation frameworks, guardrails, and observability.
- Ensure architectural decisions align with business objectives and governance requirements.
Human-in-the-Loop Design
- Design workflows that combine AI autonomy with appropriate human oversight.
- Determine review and approval checkpoints.
- Ensure agent outputs are transparent and explainable for business users and compliance teams.
Frontier AI Technology Leadership
- Advise clients on AWS Bedrock, Agent Core, foundation models, orchestration frameworks, and deployment strategies.
- Evaluate technology trade-offs and recommend solutions aligned to enterprise constraints and objectives.
Enterprise Integration
- Architect solutions that integrate with legacy systems, APIs, enterprise platforms, security controls, and existing workflows.
- Design around real-world constraints including data quality, access limitations, and infrastructure requirements.
Reliability & Evaluation
- Define measurable success criteria before development begins.
- Build evaluation frameworks using realistic business scenarios.
- Establish monitoring, drift detection, failure management, and production support strategies.
Engineering Leadership
- Review technical designs and implementation approaches.
- Identify architectural risks, security concerns, and quality issues.
- Mentor engineering teams and establish delivery standards.
Client Engagement & Pre-Sales
- Lead technical workshops with CTOs, CDOs, CIOs, and Risk leaders.
- Translate business goals into practical AI solutions.
- Support solution scoping and statement-of-work development.
Reusable Intellectual Property
- Create reference architectures, governance frameworks, evaluation methodologies, and design patterns.
- Contribute assets that can be leveraged across future engagements.
Requirements
Required Qualifications
Experience
- 8+ years of experience in software engineering, AI/ML systems, cloud architecture, or related fields.
- Minimum 3 years building and deploying production AI or agentic systems.
- Demonstrated experience delivering enterprise-grade technology solutions.
AWS Expertise (Mandatory)
Hands-on experience with:
- AWS Bedrock
- Agent Core
- SageMaker
- Lambda
- API Gateway
- Enterprise security services
- Monitoring and observability services
Agentic AI Expertise
- Experience designing and deploying multi-agent systems in production.
- Strong understanding of:
- Agent orchestration frameworks
- RAG architectures
- MCP and tool design
- Prompt engineering
- Evaluation frameworks
- Agent reliability and failure modes
- Production monitoring
Enterprise Architecture
- Experience integrating AI systems with enterprise applications.
- Knowledge of API design, event-driven architectures, security boundaries, and access controls.
- Understanding of data governance and enterprise platform constraints.
Regulated Industry Experience
- Experience working within Banking, Financial Services, Insurance (BFSI), or Telecommunications environments.
- Understanding of AI governance, compliance, risk management, and auditability requirements.
Security & DevSecOps
- Knowledge of prompt injection risks.
- Experience securing tool-enabled agents.
- Understanding of data leakage prevention and enterprise security controls.
Executive Communication
- Ability to communicate complex AI concepts to senior stakeholders.
- Comfortable engaging with executive leadership and risk teams.
- Strong written and verbal communication skills.
Preferred Certifications
Required
- AWS Certified Solutions Architect – Professional
- AWS Certified Machine Learning Specialty or ML Engineer Associate
Strongly Preferred
- AWS Certified Generative AI Developer
- AWS Certified Security Specialty
