Manager - Artificial Intelligence Engineer

Ajanta Pharma Ltd; Mumbai; On-site; INR 2,500,000 - 4,200,000; Full time

Benefits offered by this job

In-house gym

Exposure to high-impact projects

Inclusive, innovation-driven culture

Job summary

Ajanta Pharma Ltd in Mumbai seeks a Manager – AI to lead design, development and deployment of Generative AI, NLP and ML solutions for life sciences. You will guide a team of engineers and data scientists, driving project execution and collaboration with product and domain teams.

This role combines strategic leadership with hands-on execution, including architecting production-grade GenAI systems, mentoring talent, and ensuring regulatory compliance in a GxP/HIPAA-like environment.

Qualifications

• Minimum 6+ years in AI/ML/NLP, incl. 3+ years GenAI and leadership.
• Proven experience with production GenAI applications and LLMs.
• Strong knowledge of RAG pipelines, embeddings, and vector databases.
• Experience with API development and MLOps.
• Proficient in Python and related ML frameworks.

Responsibilities

• Lead end-to-end AI/GenAI projects from scoping and architecture to deployment.
• Guide development of intelligent agents, LLM-powered chatbots, and voice-enabled systems.
• Architect context-aware GenAI solutions using RAG and vector databases.
• Mentor a team of AI/ML engineers and researchers; drive innovation and governance.

Skills

AI/ML/NLP

GenAI

Leadership

Python

MLOps

Regulatory awareness

RAG pipelines

Vector databases

Education

B.E./B.Tech.

MCA/M.Tech.

Tools

Hugging Face

LangChain

OpenAI SDKs

Pinecone

FAISS

Weaviate

Job description

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.