Position : Manager Generative AI

Experience : 5+ years overall (with at least 2 years of hands-on Generative AI project delivery from Data Science, ML Engineering, or Data Engineering domain)

Location : Gurgaon

Department : AI & Data Science

Job Type : Full-time

About the Role :

We are looking for a highly skilled Generative AI Manager with strong hands-on project experience in designing, building, and deploying advanced AI solutions, including multiagent systems and Agentic AI architectures. The ideal candidate will have proven experience in end-to-end GenAI project execution, from solution design to production deployment, using Core Python, LLMs, RAG, Lang Graph, and cloud platforms. This role requires deep technical expertise, strong leadership, and the ability to translate business requirements into scalable AI solutions.

Key Responsibilities :

Preferred Background : Candidates with experience in the Pharmaceutical domain are preferred.

- Lead and deliver end-to-end Generative AI projects, from requirement gathering and solution design to deployment and post-production optimization.

- Design, build, and deploy multi-agent AI systems, enabling parallel and coordinated agent workflows for complex use cases.

- Work hands-on with Agentic AI frameworks, including LangGraph, LangChain, and other orchestration tools.

- Develop and maintain AI applications using Core Python, ensuring clean, scalable, and production-ready code.

- Implement LLM-based solutions, including RAG architectures, prompt engineering, and vector database integrations.

- Deploy and manage AI/ML solutions in cloud environments (AWS / Azure / GCP).

- Ensure model scalability, performance optimization, monitoring, and security compliance in production environments.

- Collaborate closely with data science, engineering, product, and business teams to align AI solutions with business goals.

- Act as a technical point of contact (POC) for client discussions and solution walkthroughs.

- Mentor and guide junior team members on Generative AI, Agentic AI, and best engineering practices.

- Drive adoption of MLOps best practices for model deployment, monitoring, and lifecycle management.

Required Skills & Qualifications :

- 5+ years of experience in Data Science, ML Engineering, or AI Engineering roles.

- 2+ years of hands-on experience delivering Generative AI projects in production.

- Strong proficiency in Core Python for AI/ML development.

- Hands-on experience with Generative AI & LLMs, Agentic AI and multi-agent systems, Lang Graph, Lang Chain, Hugging Face, OpenAI APIs, RAG pipelines and vector databases.

- Experience deploying AI solutions on AWS, Azure, or GCP.

- Solid understanding of MLOps practices, CI/CD, and monitoring for AI systems.

- Strong problem-solving and solutioning skills.

- Excellent communication and stakeholder management abilities.

- Bachelors or Masters degree in computer science, Data Science, AI/ML, or a related field.

Key Competencies :

- Hands-on expertise in Generative AI and Agentic AI.

- Strong experience in multi-agent system design and deployment.

- Production-level cloud deployment experience with solid MLOps practices.

- Proven client-facing technical leadership and solution ownership.

- Strong executive presence with excellent client communication and influencing skills.

- Effective team mentorship and cross-functional collaboration.

- Clear and effective communication.

Why Join Us :

- Be part of a fast-growing team driving cutting-edge Generative AI innovation.

- Opportunity to own and deliver AI projects that impact global clients.

- Collaborative, innovative, and growth-oriented work environment.

- Exposure to open-source AI, cloud deployments, and advanced model development.