Role Overview :
We are seeking a highly capable Project Manager with hands-on experience delivering AI / ML and GenAI projects within enterprise environments. This role combines strong project management leadership with technical fluency, enabling you to work closely with data engineers, AI / ML experts, and cloud architects.
You will drive the successful delivery of a multi-phase GenAI and data platform project, overseeing timelines, dependencies, team output, stakeholder communication, and the orchestration of a hybrid team operating within the Azure AI ecosystem.
Key Responsibilities :
- Lead the end-to-end delivery of AI / ML & GenAI initiatives across all phases : discovery, prototyping, development, testing, deployment, and support
- Manage a team of AI / ML engineers, data engineers, and business analysts to ensure timely, quality deliverables
- Translate high-level goals into clear technical roadmaps, sprint plans, and deliverables
- Work closely with architects to align system design with delivery timelines and enterprise constraints
- Define and manage project metrics, risks, dependencies, and stakeholder expectations
- Own sprint planning, daily standups, retrospectives, and delivery ceremonies using Agile or hybrid methods
- Ensure traceability from business requirements to technical implementation and QA sign-off
- Act as the first technical point of contact with internal stakeholders and external contributors
Required Skills and Experience :
7+ years of experience in project or program management, with at least 3 years managing AI / ML and GenAI projectsDeep familiarity with machine learning, LLM-based systems, and data platform pipelines, ideally in Azure (Fabric, OpenAI, Azure ML, Data Factory, Synapse)Proven ability to manage multidisciplinary technical teams, including AI engineers, data engineers, and business analystsHands-on experience using tools like Jira, Azure DevOps, Confluence, and GitStrong understanding of project lifecycle for cloud-based AI applications, including experimentation, model tuning, evaluation, and production deploymentAbility to evaluate technical tradeoffs and assist in solution designStrong stakeholder communication and status reporting skills, including for non-technical audiences (e.g. CFOs, program sponsors)Experience with Azure AI Foundry, LangChain, vector databases (e.g. Azure Cognitive Search, Pinecone)Familiarity with forecasting models and time-series ML applicationsPMI-ACP, PMP, or Scrum certifications (preferred but not essential)Experience delivering projects in highly regulated or enterprise environments (e.g. manufacturing, finance)(ref : hirist.tech)