Job Title

About the Role: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.Salary Range: 10.00 to 20.00 LPAKey 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.