Manager AI Engineer

About the Role

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 executionideal 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 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

• Bachelors 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.