We are seeking a dynamic and experienced Manager - AI to lead the design, development, and deployment of next-generation AI solutions, with a strong focus on Generative AI, Natural Language Processing (NLP), and Machine Learning (ML) within the pharmaceutical industry.

As an AI Manager, you will guide a team of engineers and data scientists, drive project execution, and collaborate closely with product and domain teams. You will be responsible for architecting production-grade systems, mentoring technical talent, and spearheading innovation through applied GenAI.

This role combines strategic leadership, technical depth, and hands-on execution-ideal for a candidate passionate about operationalizing cutting-edge AI technologies for real-world impact in life sciences.

Key Responsibilities :

- Lead and manage the end-to-end lifecycle of AI/GenAI projects, from scoping and architecture to development, testing, deployment, and optimization.

- Guide the development of intelligent agents, LLM-powered chatbots, and voice-enabled systems tailored to pharmaceutical and enterprise use cases.

- Architect context-aware GenAI solutions using RAG (Retrieval-Augmented Generation), embeddings, vector databases, and multimodal models.

- Oversee fine-tuning of LLMs (e.g., GPT, Claude, LLaMA, Mistral, Phi 4) and drive responsible AI evaluation practices (e.g., hallucination mitigation, prompt robustness).

- Collaborate with cross-functional stakeholders including product owners, regulatory teams, and business leads to align AI solutions with strategic goals.

- Lead and mentor a team of AI/ML engineers and researchers, fostering technical growth and high performance.

- Stay current with emerging trends in GenAI, open-source models, agent frameworks, and voice tech; translate advancements into practical applications.

- Ensure projects adhere to regulatory, compliance, and data governance standards, particularly in a GxP or HIPAA-compliant environment.

- Drive innovation culture by piloting proofs-of-concept and scaling successful initiatives across the organization.

Requirements :

- Minimum 6+ years of experience in AI/ML/NLP, including at least 3 years in GenAI technologies and team leadership or technical program management.

- Deep expertise in LLMs/SLMs, including prompt engineering, fine-tuning, and building production-ready GenAI applications.

- Experience with RAG pipelines, vector search (FAISS, Pinecone, Weaviate), and embedding models.

- Strong coding skills in Python and experience with frameworks like Hugging Face, LangChain, LanGraph, OpenAI/Anthropic SDKs.

- Experience with API development, MLOps, and deploying models using containers or cloud-native tools.

- Proven ability to lead cross-functional teams and translate business needs into scalable AI systems.

- Strong analytical thinking, problem-solving, and architectural design capabilities.

Nice to Have :

- Experience building or integrating voice assistants, speech-to-text APIs, or multimodal GenAI interfaces.

- Familiarity with agent frameworks (e.g., CrewAI, AutoGen, LangGraph) for autonomous AI workflows.

- Understanding of regulatory frameworks in life sciences (GxP, HIPAA, GDPR, etc.).

- Prior exposure to enterprise IT systems in the pharmaceutical or healthcare domain.

Educational Qualifications :

- Bachelor's in Engineering (B.E./B.Tech.) or Master's in Computer Applications/Technology (MCA/M.Tech.).

- Certifications or specialization in AI/ML/Data Science are highly desirable.

Benefits We Offer :

- Free in-house gym for employee wellness.

- Exposure to high-impact projects

- Inclusive, innovation-driven culture with opportunities for career growth and leadership.