Artificial Intelligence Engineer

6 days ago


Mumbai, Maharashtra, India Ajanta Pharma Ltd Full time ₹ 2,40,000 per year

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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