Principal Software Engineer (GenAI Enablement)

Job Title: Principal Software Engineer (GenAI Enablement)

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About the Role

Principal Software Engineer GenAI Enablement

Key Responsibilities

GenAI Training and Enablement

• Lead and deliver

  GenAI-focused training sessions, enablement programs, and hands-on workshops

  for engineering teams.
• Build tailored learning paths for different engineering roles to accelerate GenAI readiness.
• Create educational content, demos, playbooks, and best practices to support enterprise-wide enablement.

Adoption of GenAI Tools & Accelerators

• Drive adoption and best practices of

  GitHub Copilot, Microsoft Copilot, and GenAI-enabled testing tools

  across engineering functions.
• Collaborate with platform/DevOps teams to define standards, governance, and security guardrails for GenAI usage.
• Evaluate, recommend, and scale emerging GenAI accelerators, frameworks, and plugins.

Technical Guidance & Hands-On Support

• Provide hands-on technical support and mentoring during the initial stages of GenAI-enabled development activities.
• Partner with engineering teams to design, develop, and optimize GenAI-assisted workflows, coding practices, and automation.
• Act as a

  technical SME for GenAI tooling, integration patterns, and development workflows

  .

POC Identification & Execution

• Work closely with engineering leads to

  identify, evaluate, and prioritize GenAI POCs

  aligned with business value and technical feasibility.
• Lead discovery, prototyping, and validation of GenAI-driven solutions that automate coding, testing, analytics, or decision-making.
• Document learnings, success metrics, and roadmaps to drive scaling.

Software Engineering & Architecture Enablement

• Apply deep engineering knowledge to design secure, scalable, and maintainable solutions using

  Java-Angular or NodeJS-Angular tech stacks

  .
• Influence engineering standards, patterns, and architectural decisions that leverage GenAI capabilities.
• Support continuous improvement of CI/CD, observability, DevSecOps, and test automation practices.

Required Skills & Qualifications

• 5+ years of hands-on software engineering experience

  , including design, architecture, and full SDLC ownership.
• Strong understanding of modern engineering practices, preferably with

  Java + Angular

  or

  Node.js + Angular

  tech stacks.
• Hands-on experience and proficiency with

  GenAI tools, LLMs, and AI-assisted development workflows

  .
• Experience enabling engineers through training, coaching, documentation, and technical leadership.
• Familiarity with development acceleration practices including:
• Automated code generation
• AI-enabled testing frameworks
• Intelligent refactoring tools
• Ability to evaluate GenAI feasibility, define POC plans, and partner with teams during execution.
• Strong stakeholder management and communication skills, including ability to present to technical and leadership audiences.

Preferred / Good to Have

• Experience with

  GitHub Copilot Enterprise, Azure OpenAI, or custom LLM integration

  .
• Exposure to

  MLOps, prompt engineering, or fine-tuning

  workflows.
• Prior experience enabling large engineering organizations through

  change management or capability building

  .
• Understanding of security, governance, compliance, and risk related to AI usage in enterprise settings.
• Experience in building scalable microservices, APIs, and event-driven systems.

Behavioral Competencies

• Strong leadership, mentoring, and coaching mindset.
• Ability to work across multiple stakeholder groups with influence, not authority.
• Passion for innovation, experimentation, and continuous improvement.
• Excellent communication, facilitation, and interpersonal skills.

What You'll Achieve

• Help transform engineering culture through GenAI-driven acceleration.
• Define and scale enterprise-wide standards, best practices, and patterns.
• Enable engineers to innovate faster while improving quality and productivity.
• Contribute to strategic decision-making that shapes the future of engineering delivery.