Straive - Technical Project Manager - Generative AI

3 days ago

Mumbai, Maharashtra, India Straive. Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Key Responsibilities :

- Own the end-to-end delivery of Generative AI projects - from requirements gathering to deployment and adoption.

- Collaborate with data scientists, ML engineers, prompt engineers, and product managers to design scalable AI-powered solutions.

- Evaluate, select, and integrate LLM platforms and APIs (e.g., GPT-5, Claude, Gemini, Mistral, LLaMA) into enterprise applications.

- Define and manage project plans, timelines, budgets, and resource allocations.

- Oversee prompt engineering, model fine-tuning, and RAG (Retrieval-Augmented Generation) implementations for production-grade use cases.

- Ensure AI solutions meet security, compliance, and ethical AI standards, including data privacy and bias mitigation.

- Drive performance monitoring and evaluation of deployed AI models, ensuring they meet agreed SLAs.

- Liaise with business stakeholders to translate high-level goals into actionable technical requirements.

- Create risk management and contingency plans specific to AI system deployment and scaling.

- Stay up to date with Gen-AI trends, research breakthroughs, and tool advancements, and proactively bring innovative ideas to the table.

You will have the following qualifications :

- Project Management Expertise : Strong track record managing technical projects in Agile/Scrum or hybrid delivery models.

- Generative AI Implementation : Hands-on experience integrating and deploying solutions using GPT-4/5, Claude, Gemini, or equivalent LLMs.

- Architecture Understanding : Familiarity with transformer-based architectures, embeddings, vector databases (Pinecone, Weaviate, FAISS), and API integrations.

- Prompt Engineering Skills : Experience designing optimized prompts, context windows, and fine-tuned conversational flows.

- RAG Pipelines : Understanding of retrieval-augmented generation for knowledge-base-enhanced LLM outputs.

- Cloud & DevOps : Knowledge of AWS, Azure, or GCP AI/ML services; CI/CD pipelines for AI workloads.

- Data Security & Compliance : Knowledge of enterprise security standards, GDPR, SOC 2, HIPAA (as relevant).

- Stakeholder Communication : Exceptional ability to convey technical details to non-technical stakeholders.

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