About the Role

Looking for an experienced technology manager to own the end-to-end delivery of secure, scalable and AI-enabled medical learning products. The role combines project execution, people leadership, technical governance and stakeholder management, with sufficient hands-on depth to guide architecture, AI/RAG delivery and production readiness.

Key Responsibilities - Delivery & Stakeholders

Own delivery from requirement clarification and technical planning through development, testing, release and production stabilization.
Translate the product roadmap into epics, milestones, resource plans, sprint commitments and measurable release outcomes.
Manage scope, timelines, dependencies, budgets, risks and blockers; communicate status and corrective actions transparently to senior leadership.
Partner with Product, Business, Content, Academic and Medical teams to clarify requirements, challenge unrealistic timelines and prioritize learner and business value.
Establish delivery measures covering predictability, cycle time, defect leakage, rework, deployment success and stakeholder satisfaction.

Technical Architecture & AI Governance

Guide architecture across Java/Spring Boot or Python/Django backends, React/Next.js frontends, APIs, microservices, databases, caching and event-driven workflows.
Ensure solutions meet security, privacy, scalability, performance, availability, cost and maintainability requirements.
Lead delivery of intelligent tutoring, semantic search, question generation, summarization, adaptive learning and recommendation capabilities.
Guide managed or self-hosted LLMs, RAG pipelines, embeddings and vector databases while enforcing content entitlement and role-based access.
Define AI evaluation and governance for groundedness, relevance, hallucination, safety, latency, cost, prompt/model versions, auditability and expert validation.
Ensure prototypes become tested, observable and maintainable production capabilities; address prompt injection, data leakage and unauthorized access.

Required Skills

10+ years in software product development, including at least 4 years in technical project, engineering or delivery leadership.
Proven leadership of multidisciplinary teams delivering customer-facing cloud applications.
Strong full-stack architecture knowledge across React/Next.js and Java/Spring Boot, Python/Django or Node.js.
Practical knowledge of LLM applications, RAG, embeddings, vector databases, AI evaluation and secure integration.
Strong command of Agile/Scrum, Jira, SDLC, CI/CD, automated testing, cloud operations and production releases.
Excellent people management, estimation, risk management, conflict resolution and executive communication.

Work Location: Hyderabad

Working Mode - WFO (5 days a week)

Senior Technical Project Manager