with deep expertise in managing AI/ML-driven projects, particularly in
Generative AI solutions
. The ideal candidate will bridge the gap between business stakeholders, data scientists, AI engineers, and software teams, ensuring timely and high-quality delivery of AI initiatives. You will oversee project execution, manage cross-functional teams, and drive the implementation of cutting-edge AI-powered solutions for enterprise-scale use cases.
Key Responsibilities
Lead and manage
end-to-end Generative AI projects
, from requirements gathering to deployment and adoption.
Collaborate with stakeholders to define project scope, objectives, timelines, and deliverables.
Translate
business needs into technical project requirements
and align with AI/ML teams.
Oversee solution design and implementation in
Generative AI models (LLMs, NLP, multimodal AI)
.
Manage project risks, budgets, and dependencies, ensuring
on-time and within-budget delivery
.
Ensure compliance with
AI governance, security, and ethical frameworks
.
Drive
Agile project management practices
, including sprint planning, backlog grooming, and stand-ups.
Act as the liaison between
business, product, data science, and engineering teams
.
Track and report project progress, KPIs, and delivery milestones to leadership.
Support pre-sales, proposals, and client presentations when required.
Required Skills & Experience
8-12+ years
of experience in IT project/program management with at least
3-5 years in AI/ML-related projects
.
Proven track record of managing
Generative AI, NLP, LLM, or ML projects
in enterprise environments.
Strong understanding of
AI/ML lifecycle
(model development, training, fine-tuning, deployment, monitoring).
Experience with
cloud platforms
(AWS, Azure, GCP) and AI/ML services.
Familiarity with tools such as