Manager - Artificial Intelligence

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.- 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 Masters 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. (ref:hirist.tech)