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Job Description & How to Apply Below
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, Lang Chain, 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)
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