Technical Project Manager

Key Responsibilities: Project Management\nOwn the end-to-end delivery of Generative AI projects — from requirements gathering to deployment and adoption.\nCollaborate with data scientists, ML engineers, prompt engineers, and product managers to design scalable AI-powered solutions.\nEvaluate, select, and integrate LLM platforms and APIs (e.g., GPT-5, Claude, Gemini, Mistral, LLaMA) into enterprise applications.\nDefine and manage project plans, timelines, budgets, and resource allocations.\nOversee prompt engineering, model fine-tuning, and RAG (Retrieval-Augmented\nGeneration) implementations for production-grade use cases.\nEnsure AI solutions meet security, compliance, and ethical AI standards, including data privacy and bias mitigation.\nDrive performance monitoring and evaluation of deployed AI models, ensuring they meet agreed SLAs.\nLiaise with business stakeholders to translate high-level goals into actionable technical requirements.\nCreate risk management and contingency plans specific to AI system deployment and scaling.\nStay up to date with Gen-AI trends, research breakthroughs, and tool advancements, and proactively bring innovative ideas to the table.\n\nYou will have the following qualifications:\nProject Management Expertise: Strong track record managing technical projects in Agile/Scrum or hybrid delivery models.\nGenerative AI Implementation: Hands-on experience integrating and deploying solutions using GPT-4/5, Claude, Gemini, or equivalent LLMs.\nArchitecture Understanding: Familiarity with transformer-based architectures, embeddings, vector databases (Pinecone, Weaviate, FAISS), and API integrations.\nPrompt Engineering Skills: Experience designing optimized prompts, context windows, and fine-tuned conversational flows.\nRAG Pipelines: Understanding of retrieval-augmented generation for knowledge-base-enhanced LLM outputs.\nCloud & DevOps: Knowledge of AWS, Azure, or GCP AI/ML services; CI/CD pipelines for AI workloads.\nData Security & Compliance: Knowledge of enterprise security standards, GDPR, SOC 2, HIPAA (as relevant).\nStakeholder Communication: Exceptional ability to convey technical details to non-technical stakeholders.