AI Project Manager

We are looking for an experienced AI Project Manager to lead the planning, execution, delivery, and governance of AI/ML and Generative AI initiatives. The ideal candidate will combine strong project/program management capabilities with a solid understanding of AI technologies, software engineering, data platforms, and Agile delivery.

The candidate will work closely with business stakeholders, product teams, data scientists, ML engineers, software engineers, architects, and leadership to deliver AI solutions within agreed timelines, budgets, and quality standards.

Key Responsibilities

1. AI Project & Program Management

• Own end-to-end delivery of AI/ML and GenAI projects from initiation through production deployment.
• Define project scope, objectives, milestones, deliverables, dependencies, and success metrics.
• Develop and manage project plans, schedules, budgets, resource allocation, and delivery timelines.
• Manage multiple AI projects/work streams simultaneously.
• Track project progress, risks, issues, dependencies, and corrective actions.
• Ensure delivery against agreed scope, schedule, cost, quality, and business outcomes.

2. AI/ML Delivery

• Understand AI/ML project life cycles including data preparation, model development, evaluation, deployment, monitoring, and optimization.
• Manage delivery of Generative AI, LLM, NLP, Computer Vision, Machine Learning, Predictive Analytics, and AI Automation initiatives.
• Work with technical teams on AI solution architecture, model selection, data requirements, APIs, integrations, and deployment approaches.
• Understand concepts such as RAG, embedding, vector databases, prompt engineering, fine-tuning, AI agents, MLOps, and LLM evaluation.
• Coordinate POCs, MVPs, pilots, and production implementations.

3. Stakeholder Management

• Act as the primary delivery interface between clients/business stakeholders and technical teams.
• Conduct project reviews, steering committee meetings, status meetings, and executive reporting.
• Translate business requirements into actionable technology deliverables.
• Manage stakeholder expectations and communicate project status, risks, and decisions effectively.
• Drive alignment across business, product, engineering, data, security, and architecture teams.

Requirements

AI / GenAI

• Machine Learning fundamentals
• Generative AI and LLMs
• NLP and/or Computer Vision
• Prompt Engineering
• RAG architectures
• Vector databases and embedding
• AI Agents / Agentic AI
• Model evaluation and monitoring
• MLOps / LLMOps

Cloud & Technology

Working knowledge of one or more:

• AWS
• Microsoft Azure
• Google Cloud Platform
• Azure OpenAI / OpenAI APIs
• Data bricks
• MLflow
• Docker / Kubernetes
• REST APIs and microservices
• CI/CD and DevOps

Project Management Tools

• Jira
• Confluence
• Azure DevOps
• MS Project / Smart sheet
• Power BI or similar reporting tools

Benefits

Diversity Inclusion:

At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career. Exavalu also promotes flexibility depending on the needs of employees, customers and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also have a welcome back program to help people get back to the mainstream after a long break due to health or family reasons.