Manager- AI Engineer

About the Role

Manager AI Engineering

As an AI Lead, 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.