Lead/Senior AI (AWS Kiro Platform) - Remote/Hybrid

What Working at Hexaware Offers:

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profiles. We complete the circle with excellent growth opportunities, chances to collaborate with high-profile customers, opportunities to work alongside brilliant minds, and the perfect work-life balance.

Job Title:Lead/Senior AI (AWS Kiro Platform)

Location: Iselin, NJ

Mode of work: Remote / Hybrid

Employment Type: Full-time

Experience Level: 12+

We are looking for an experienced engineering leader to own adoption, governance, and operationalisation of spec-driven development using AWS Kiro. The role will author and maintain spec artifacts and steering files, design and implement agent hooks and multi-agent workflows, integrate agent outputs into CI/CD and DevSecOps pipelines, and enable organization-wide standards that make AI-assisted code generation auditable, secure, and traceable.

Key responsibilities

• Drive spec-first development with Kiro:
• Author structured requirements, design documents, and task specifications that directly drive deterministic, traceable code generation.
• Ensure every generated artefact maps back to validated intent and acceptance criteria.
• Design and implement agent hooks & automations:
• Build Kiro agent hooks (file-save triggers, event-driven automations) to enforce coding standards, run linting, regenerate docs, and invoke downstream agents.
• Reduce manual toil by automating repetitive SDLC tasks and guardrails.
• Steering file governance:
• Create and maintain .kiro/steering/ files that encode organisational standards: architecture patterns, tech-stack conventions, security guardrails, and code-style norms.
• Keep steering files versioned, reviewed, and aligned with enterprise policy.
• Multi-agent workflow orchestration:
• Architect agent pipelines where specialised agents handle requirements analysis, API contract generation, scaffolding, tests, and deployment validation with clear handoffs and human-in-the-loop checkpoints.
• Define orchestration logic, escalation rules, and observability for agent pipelines.
• AI-assisted architecture & design artefacts:
• Use agent capabilities to auto-generate ADRs, OpenAPI specs, data models, and system design documents from high-level requirements.
• Validate generated artefacts with stakeholders and maintain traceability.
• Automated test generation & quality engineering:
• Leverage Kiro agents to generate unit, integration, and BDD tests and aligned test data; establish metrics to improve coverage continuously.
• CI/CD & DevSecOps integration:
• Integrate agent-driven outputs into CI/CD (build, SAST/SCA, deployment) and ensure pipelines remain auditable and reproducible.
• Implement security and compliance scanning as part of the agent workflow.
• Mentorship & cross-functional enablement:
• Train engineering teams on spec-driven workflows, steering file practices, and how to interact with agent pipelines.
• Collaborate with product, security, and platform teams to align practices.

Required skills & experience

• Hands-on experience with AWS Kiro (practical, production or pilot deployments).
• 5+ years strong software engineering background in at least one major stack (Java/Spring, Python, or Node.js).
• Deep understanding of spec-driven development, requirements engineering, and SDLC governance.
• Proficiency with AWS services relevant to agent-based workflows and LLM infra: Bedrock, Lambda, CDK, and container platforms (ECS/EKS).
• Experience designing multi-agent systems: orchestration, tool integrations, model-control patterns, and human-in-the-loop checkpoints.
• Familiarity with CI/CD pipelines, DevSecOps tooling (SAST/SCA), and automated quality engineering.
• Practical experience in prompt engineering, retrieval-augmented generation (RAG) patterns, and LLM-based development workflows.
• Solid grasp of security, compliance and audit requirements for AI-assisted code generation.

Preferred qualifications

• Prior role designing steering/governance artifacts or similar policy-as-code.
• Experience implementing agent hooks, event-driven automations, or platform-level developer tooling.
• Familiarity with observability and metrics for AI agent performance and correctness.
• Experience with infrastructure-as-code at scale (AWS CDK / Terraform) and secure deployment patterns.
• Open-source contributions or published ADRs, specifications, or architecture documents.

Equal Opportunities Employer:

Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply.