Manager AI Engineer

NMS Consultant; Mumbai; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

NMS Consultant seeks a dynamic Lead – AI Engineering to steer AI/GenAI projects in the life sciences sector. You will guide a team of engineers and data scientists, architect production-grade GenAI systems, and drive innovation while ensuring regulatory compliance.

Responsibilities include leading end-to-end AI lifecycles, building LLM-powered chatbots, and collaborating with product and domain teams to deliver pharma-ready solutions.

Qualifications

• 6+ years in AI/ML/NLP with GenAI capability and team leadership.
• Deep expertise in LLMs, prompt engineering, and production GenAI apps.
• Experience with RAG pipelines, vector databases, and multimodal models.

Responsibilities

• Lead end-to-end AI/GenAI projects from scoping to deployment.
• Guide intelligent agents, LLM chatbots, and voice-enabled pharma use cases.
• Architect GenAI solutions with RAG, embeddings, and vector databases.
• Oversee fine-tuning of LLMs and responsible AI practices.
• Collaborate with product, regulatory, and business leads to align goals.
• Mentor AI/ML engineers and researchers for high performance.
• Stay current with GenAI trends and translate into applications.
• Ensure regulatory, data governance and HIPAA/GxP considerations.

Skills

AI/ML/NLP

GenAI

LLMs/SLMs

Prompt engineering

Team leadership

MLOps

Python

API development

Education

Bachelor/Master in CS/Engineering

Tools

Hugging Face

LangChain

OpenAI/Anthropic SDKs

FAISS

Pinecone

Weaviate

LangGraph

Docker/Kubernetes

Job description

We are seeking a dynamic and experienced Lead – AI Engineering 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 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
• 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
• Familiarity with agent frameworks (e.g., CrewAI, AutoGen, LangGraph) for
• 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.