Job Description About the Role:
n We are looking for a Technical Delivery Manager who combines strong delivery leadership with deep hands-on technical credibility. This is not a purely process-driven PM role — you'll be expected to go deep into Full Stack architecture discussions, review technical designs, understand AI/ML-based solutioning, and speak the language of engineers fluently, while owning end-to-end delivery accountability.
n Key Responsibilities:
n n Own end-to-end technical delivery for complex, multi-team engineering programs — scope, timelines, risk, quality, and stakeholder communication.
n Partner with engineering leads and architects to review solution designs, ensuring technical feasibility, scalability, and alignment with delivery timelines.
n Drive adoption of AI-based development practices within engineering teams — including GenAI-assisted coding tools, LLM-based feature development, and AI-driven automation in the SDLC.
n Stay current on emerging AI trends and solutions (LLMs, GenAI, agentic workflows, ML Ops) and evaluate their applicability to ongoing projects and client engagements.
n Act as a technical escalation point — capable of debugging delivery blockers that stem from actual code, architecture, or infrastructure issues, not just process gaps.
n Manage cross-functional teams (frontend, backend, DevOps, QA, data) across the full-stack development lifecycle.
n Define and track delivery metrics (velocity, quality, technical debt)



and report to senior stakeholders/leadership.
n Facilitate Agile ceremonies (sprint planning, retros, stand-ups) while ensuring technical rigor isn't sacrificed for speed.
n Mentor engineering and delivery teams on best practices in both software delivery and AI-enabled development workflows.
n n Required Skills & Experience:
n n Proven experience as a Technical Delivery Manager, Technical Program Manager, or similar hybrid delivery+engineering leadership role.
n Solid full-stack development background — hands-on or recent hands-on experience with modern stacks (e.g., Java/Spring Boot, Node.js, React/Angular, Python).
n Demonstrated experience integrating AI/ML or GenAI solutions into products or internal engineering processes (e.g., LLM-powered features, AI coding copilots, intelligent automation).
n Solid understanding of cloud platforms (AWS/Azure/GCP), CI/CD pipelines, and microservices architecture.
n Experience managing delivery for complex, multi-stakeholder programs — ideally in a product or enterprise SaaS environment.
n Strong grasp of Agile/Scrum methodologies, with the judgment to know when to flex process for technical reality.
n Excellent stakeholder management and communication skills — able to translate technical nuance for non-technical leadership and vice versa.
n Experience of 10–15 years given the mix of deep technical + delivery leadership skills
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📌 Technical Delivery Manager - AI & Full-Stack Engineering (Chennai)
🏢 Galent
📍 Chennai