Technical Project Manager

We are seeking a Technical Project Manager (TPM) with strong expertise in AI, Machine Learning, Generative AI, and LLM-based systems to lead end-to-end delivery of complex AI initiatives. The TPM will act as the bridge between business stakeholders, data scientists, AI engineers, and platform teams, ensuring AI solutions are delivered on time, within scope, and aligned with business goals.

This role requires a blend of project management excellence, technical depth in AI systems, and stakeholder leadership.

Key Responsibilities

Project & Delivery Management

Own end-to-end delivery of AI/ML and Generative AI projects from ideation to production deployment

Define project scope, milestones, timelines, dependencies, and success metrics

Manage Agile ceremonies (Sprint planning, stand-ups, retrospectives, reviews) for AI teams

Track risks related to data availability, model performance, scalability, ethics, and compliance

Technical Leadership & Collaboration

Work closely with Data Scientists, ML Engineers, NLP/LLM Engineers, and MLOps teams

Translate business requirements into technical deliverables, model objectives, and system designs

Review and understand AI architectures including:

o LLM-based applications

o Retrieval-Augmented Generation (RAG) pipelines

o Agentic AI / multi-agent systems

o NLP, computer vision, and document intelligence solutions

Stakeholder Management

Act as primary point of contact for internal and external stakeholders

Communicate project status, technical trade-offs, risks, and outcomes clearly to non-technical audiences

Align AI initiatives with business strategy, regulatory constraints, and user needs

Governance, Quality & Compliance

Ensure AI solutions follow responsible AI, data privacy, and security standards

Drive documentation for:

o Model assumptions

o Data lineage

o APIs and integrations

Coordinate validation, UAT, and production rollout of AI systems

Process & Continuous Improvement

Establish best practices for AI project planning, estimation, and execution

Improve cross-team collaboration between engineering, product, and business units

Support roadmap planning for AI platforms and reusable components

Required Skills & Qualifications

Technical Skills

Strong understanding of:

o Machine Learning & Deep Learning fundamentals

o NLP, LLMs, and Generative AI systems

o RAG pipelines, embeddings, vector databases

o APIs, microservices, and AI system integrations

Familiarity with tools & frameworks such as:

o Python-based ML ecosystems

o Hugging Face, LangChain, or similar LLM frameworks

o Docker, Git, CI/CD basics

Project Management Skills

Proven experience managing AI/ML or data science projects

Strong Agile/Scrum execution skills

Ability to manage ambiguity and evolving AI requirements

Excellent planning, prioritization, and risk management abilities

Preferred Qualifications

Experience delivering enterprise AI or GenAI products

Exposure to regulated industries (Healthcare, Pharma, Finance, etc.)

Understanding of MLOps, model monitoring, and production AI lifecycle

Certifications in Agile, PMP, or AI-related domains (preferred, not mandatory)