Senior AI Project Manager

About NexaQuanta:

NexaQuanta is a global AI solution provider delivering responsible, secure, and enterprise-grade AI transformation. We specialise in Generative AI, Agentic AI, Machine Learning, AI Risk/Security and Intelligent Automation. Our delivery culture is rooted in ISO 27001 and NexaQuantas Responsible AI SDLC.

Role Overview:

NexaQuanta is seeking a Senior AI Project Manager with strong experience delivering Generative AI and Machine Learning solutions for international enterprise clients. The successful candidate will lead end-to-end management and delivery of complex AI initiatives involving LLMs, Agentic AI, RAG architectures, and ML systems , ensuring solutions are delivered on time, within scope, and in line with NexaQuantas Responsible AI principles .

Key Responsibilities

Generative AI & ML Solution Delivery

• Lead end-to-end management and delivery of Generative AI, Agentic AI, and ML solutions from discovery through production.
• Deliver AI systems including:
• LLM-powered enterprise applications
• Agent orchestration and workflow automation
• Retrieval-Augmented Generation (RAG) solutions
• Classical ML models integrated into enterprise platforms
• Define delivery scope, milestones, dependencies, and release plans across AI, data, cloud, and application workstreams.

Agile Project Management

• Deliver AI projects using Agile / Scrum / Kanban or hybrid models.
• Plan and run sprint ceremonies, delivery reviews, and retrospectives.
• Translate client requirements into epics, delivery tasks, and acceptance criteria .
• Track progress, risks, issues, and dependencies, driving mitigation actions.

Client & Stakeholder Management

• Act as the primary delivery interface for international clients (UK, Europe, Middle East, North America).
• Lead discovery workshops, feasibility studies, and solution walkthroughs for Generative AI use cases.
• Manage client expectations around AI capabilities, limitations, timelines, and cost.
• Provide structured delivery updates to senior client stakeholders.

Technical Oversight & AI Governance

• Work with AI engineers and data scientists to define:
• Model objectives, evaluation metrics, and success thresholds
• Validation criteria (accuracy, bias, hallucination risk, latency, cost)
• Oversee integration with enterprise data platforms, APIs, and cloud infrastructure.
• Ensure adherence to NexaQuantas Responsible AI SDLC , including:
• Feasibility studies
• Risk, fairness, and compliance reviews
• Model cards, data cards, and completion reports

Required Sills & Experience

Essential

• 7+ years experience in AI delivery, technical project management, or programme delivery
• Proven delivery of Generative AI and ML solutions into production
• Hands-on delivery exposure to:
• LLMs (OpenAI, Azure OpenAI, Anthropic, etc.)
• Agentic AI and orchestration frameworks
• RAG pipelines and vector databases
• Strong Agile delivery experience
• Excellent client-facing and stakeholder management skills
• Experience working with international enterprise clients

Technical Knowledge

• Generative AI architectures (LLMs, agents, prompt strategies)
• End-to-end ML lifecycle
• Vector databases (Pinecone, FAISS, Milvus, Weaviate, etc.)
• Cloud platforms (AWS, Azure, GCP)
• MLOps / LLMOps practices

Nice to Have

• Experience in regulated industries
• Exposure to Responsible AI / AI governance
• Certifications: PMP, AgilePM, SAFe, Scrum Master

What We Offer

• Opportunity to deliver cutting-edge Generative AI and Agentic AI programmes
• International enterprise client exposure
• Strong Responsible AI culture
• Competitive compensation and growth opportunities