Description

Define and execute a GenAI-augmented SDLC strategy, embedding AI across requirements, design, development, testing, deployment, and auditability.

This role is hybrid.

Responsibilities

• Drive spec-to-code, code-to-test, and test-to-deployment automation using LLM-powered workflows.
• Partner with Architecture, DevSecOps, Risk, and Compliance teams to ensure secure, governed, and auditable AI adoption.
• Design and deploy agentic AI workflows to automate requirements elaboration, Jira story generation, and test creation.
• Integrate AI automation into CI/CD pipelines and existing enterprise SDLC tooling.
• Define KPIs to quantify productivity, quality, and cycle-time improvements driven by AI.

Required Skills

• 5+ years of experience in SDLC automation and engineering productivity.
• Strong expertise in GenAI integration, including prompt engineering and agent-based orchestration patterns.
• Experience with Anthropic Cloud Code or similar LLM APIs for secure model invocation.
• Proficiency in CI/CD pipelines and enterprise platform enablement.
• Ability to establish reusable AI components, frameworks, and guardrails.
• Bachelor's degree in Computer Science or related field.
• Experience in financial services or highly regulated industries.

Preferred Skills

• Familiarity with enterprise GenAI governance models and model risk management.
• Experience with Jira automation and SDLC artifact generation.

Key Skills

Education

Bachelor's degree