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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 Gen AI.
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 Gen AI 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.
Work arrangement
No
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