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Generative AI Lead

Generative AI Lead

Ajanta Pharma LtdRepublic Of India, IN
30+ days ago
Job description

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 LPA

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.
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