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.
Skills Required
Api Development, MLops, Python
