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 NexaQuanta’s 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 NexaQuanta’s 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 NexaQuanta’s 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