Manager - Artificial Intelligence Engineer

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.