Job Description
Job Overview
We are seeking an experienced AI - DLC Technical Program Manager to drive AI-assisted and AI-native software development lifecycle (AI-DLC) initiatives. The ideal candidate will have strong technical expertise in application development, AI/LLMs, cloud engineering, and modern software delivery practices.
This role requires someone who can bring business stakeholders, architects, developers, AI engineers, and domain experts together to accelerate software delivery through AI-driven development approaches. The candidate must be technically strong enough to actively participate in engineering discussions, drive rapid prototyping, and ensure solutions are evaluated, refined, and production-ready.
Roles and Responsibilities
- Lead complex software development programs using AI-assisted and AI-native development lifecycle practices.
- Translate business objectives into clear requirements, technical constraints, success criteria, and executable deliverables.
- Facilitate collaborative development sessions involving business teams, AI engineers, developers, designers, and architects.
- Drive rapid prototyping, continuous evaluation, and short feedback loops to accelerate solution delivery.
- Actively participate in technical discussions related to application architecture, APIs, integrations, AI/LLMs, data, cloud, and security.
- Identify opportunities where AI can accelerate requirements, design, development, testing, and delivery processes.
- Establish AI evaluation frameworks, acceptance criteria, quality gates, risk management, and production-readiness standards.
- Balance development speed with engineering quality, security, compliance, and human validation.
- Set realistic expectations regarding prototype development versus production-grade implementation.
- Identify reusable AI-DLC frameworks, accelerators, development patterns, and best practices.
- Track program success through validated learning, working solutions, measurable business outcomes, and delivered value.
Required Technical Skills
- Strong understanding of AI-assisted and AI-native Software Development Lifecycle (AI-DLC).
- Practical knowledge of LLMs, Generative AI, Agentic AI, RAG, and Context Engineering.
- Experience with AI development tools such as:
- Claude / Claude Code
- GitHub Copilot
- Cursor
- OpenAI / Codex
- Gemini
- Azure OpenAI
- Strong technical understanding of application architecture, APIs, integrations, cloud platforms, data engineering, and CI/CD.
- Knowledge of software testing, security, observability, AI evaluation, and production deployment.
- Experience driving rapid build-test-evaluate-refine development cycles.
Required Experience and Qualifications
- 10+ years of experience managing complex software/application development programs.
- Demonstrated experience in AI-assisted or AI-native software delivery models.
- Strong technical background with the ability to collaborate closely with engineering teams.
- Experience managing cross-functional teams and senior stakeholders.
- Excellent communication, problem-solving, and decision-making skills.
- Ability to work effectively in ambiguous and fast-paced environments.
- Bachelor's or Master's degree in Engineering (BE/ME/BTech/MTech/BSc/MSc).
- Technical certifications across multiple technologies are desirable.