Client solution Partner

Associate Engagement Manager

**Role : Associate Engagement Manager

Experience Level : 6 to 8 years

Location : Mumbai / Bangalore / Trivandrum

Roles & Responsibilities:

• Manage project delivery, the team, customer relations, and ensure that the project is delivered per deliver terms of the contract
• Managing client engagement and delivery per terms of the contract expectations
• Manage project delivery, team and ensure positive customer relations
• Collaborate with our diverse and global teams to deliver committed results to our clients
• Drive AI-driven engagements, ensuring alignment with business goals, technical feasibility, and governance frameworks.
• Develop and execute strategic roadmaps for LLM-based solutions, including RAG (Retrieval-Augmented Generation), Agentic RAG, and Agent-driven workflows.
• Manage cross-functional teams, including ML engineers, data scientists, software developers, and consultants to deliver AI solutions.
• Drive AI governance strategies, ensuring compliance, fairness, and responsible AI implementation.
• Collaborate with stakeholders to define technical architecture, infrastructure requirements, and optimization techniques.
• Oversee the deployment of custom LLM-based models, fine-tuning methodologies, and Hallucination Reduction Techniques.
• Guide AI model evaluation, MLOps pipeline integration, and fine-tuning strategies for scalable AI solutions.
• Work with an Engagement Manager to establish best practices for AI Explainability, Bias Mitigation, and Model Performance Benchmarking.

Skill Set Required:

• Strong operational and stakeholder management skills.
• Project Management ensuring customer success & account growth
• Maintaining positive work environment & ensure career growth of the team members
• Tight Delivery execution and reporting to management team at client organization and at Quantiphi
• Team leading experience and ability & experience to work as a associate project lead
• Excellent Communication, presentation & storytelling skills
• Must have experience with Cloud GCP or AWS or Azure (LLM hosting, GPU-based inference, cost optimization).
• Experience managing small to medium scale AI projects leveraging LLMs (e.g., Llama, GPT, Claude, Mistral).
• Strong expertise in RAG, Agentic RAG, AI Agents, Vector DBs (e.g., FAISS, Pinecone, Weaviate, ChromaDB).
• Knowledge of LLM-based fine-tuning techniques, Low-Rank Adaptation (LoRA), Quantization (AWQ, GPTQ, FP8, INT4).
• Familiarity with Multi-GPU parallelization, model pruning, and knowledge distillation.
• Understanding of Governance frameworks (e.g., AI Ethics, Explainability, Risk Mitigation).
• Proficiency in NVIDIA NeMo, Triton Inference Server, and LangChain for agentic workflows.

Qualifications Required:

• BTech/BE (Computer Science, Information Technology) from a reputed engineering college.
• MBA (Post-graduate program) - 1 year/2 years program from a reputed university.

What’s in it for you?

• An opportunity to work with an award winning AI and Big Data software and services company.
• To be a part of a dynamic and result driven team.
• To work with a team of vibrant enthusiasts who are always upbeat and self driven to achieve big milestones.**