Principal SDLC Coach

INFOSYS NOVA HOLDINGS • Santa Clara, CA

2d • Onsite

About The Position

As a Principal AI Driven SDLC Coach, you serve as the senior technical authority responsible for end-to-end coaching and governance of AI-driven full Software Development Lifecycle (SDLC). You design robust engineering guardrail harnesses and deliver structured hands-on coaching covering every SDLC phase. You standardize repeatable, secure, production-grade AI-augmented workflows for engineering teams, mitigate LLM hallucinations, technical debt, security vulnerabilities and inconsistent deliverables across the entire development lifecycle, while empowering engineers to maximize AI efficiency without compromising software quality, compliance and stability.

Requirements

• Software engineering experience with complete hands-on SDLC delivery
• Proven expertise across requirements gathering, security design, implementation planning, formal code review, manual/automated testing, technical writing and end-to-end CI/CD pipeline design for production systems.
• Deep practical AI coding & LLM workflow expertise
• Hands-on experience leveraging code-generating LLMs across all SDLC phases; advanced prompt engineering, output constraint design, and mitigation of AI hallucinations and logical defects.
• Experience building custom wrapper tooling/harnesses to govern and validate AI outputs in pipelines.
• Lifecycle-first mindset: prioritizing full SDLC robustness over isolated fast code generation
• Structured coaching style adaptable for junior to staff-level engineers
• Strategic risk balancing: accelerating delivery via AI while locking in security, maintainability and compliance
• Strong cross-team communication and technical documentation capabilities

Responsibilities

• Full AI-Driven SDLC Coaching & Hands-On Enablement: Lead formal training, 1:1 deep coaching, team workshops and live code clinics covering the complete AI-powered SDLC workflow.
• AI SDLC Harness Architecture & Tooling Build: Build Design, develop and maintain enterprise-grade technical harnesses that enforce guardrails across every SDLC stage; embed automated validation gates to block unvetted AI outputs early in the lifecycle.
• Enterprise Standardization & Compliance Governance: Author playbooks, prompt libraries, checklists and workflow templates for each AI SDLC stage for backend, frontend, cloud-native and embedded engineering teams.
• Collaborate with cybersecurity, legal, DevSecOps and compliance teams to bake license auditing, IP validation, sensitive data filtering and regulatory requirements into AI SDLC harness gates.
• Enforce mandatory human review gates for high-risk modules (authentication, payment processing, PII handling) at every SDLC checkpoint regardless of AI automation maturity.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed