Manager - Artificial Intelligence

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 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 5+ 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.