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.