Straive - Technical Project Manager - Generative AI

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