Role Purpose :

We are looking for a hands-on AI Engineering Leader to build and lead the organization's AI & GenAI development capability.

The role will be responsible for designing, developing and deploying AI/GenAI solutions, building a strong AI engineering team, establishing development standards, and converting business opportunities into scalable AI solutions.

Key Responsibilities :

AI & GenAI Development :

- Lead the development of enterprise AI, GenAI and Agentic AI solutions.

- Personally contribute to architecture, coding and solution development.

- Develop AI Agents, Copilots, RAG applications and intelligent assistants.

- Build AI solutions using Azure AI Foundry, Azure OpenAI and related Azure AI services.

- Develop Python-based AI applications, APIs and microservices.

- Integrate AI solutions with enterprise applications and data platforms.

- Build reusable AI frameworks, components and accelerators.

AI Engineering Team Leadership :

- Build, manage and mentor the AI Engineering team.

- Define team structure, skills, roles and development roadmap.

- Guide engineers on architecture, coding, AI development and deployment practices.

- Establish standards for Git, CI/CD, testing, documentation and production deployment.

AI Solution Architecture :

- Define architecture for enterprise AI and GenAI solutions.

- Establish standards for : RAG, AI Agents, LLM integration, Prompt engineering, Vector search, Model evaluation, AI security, MLOps.

- Design scalable and production-ready AI solutions.

AI Use Case Delivery :

- Work with business teams to identify high-value AI opportunities.

- Convert business requirements into AI solution designs and prototypes.

- Lead the complete lifecycle : Idea, PoC, Prototype, Production, Scale.

Data Platform Enablement :

- Leverage Snowflake as a key enterprise data foundation for AI.

- Work with Data Engineering teams to ensure availability of high-quality data for AI solutions.

- Integrate AI solutions with SAP, Salesforce, ServiceNow, manufacturing systems and other enterprise platforms.

Technical Skills :

- AI / GenAI : Generative AI / LLMs, AI Agent / Agentic AI development, RAG architecture, Prompt Engineering, Vector Databases, LangChain / LangGraph, Machine Learning / Predictive Analytics.

- Development : Python (Advanced), REST APIs, FastAPI, Git / GitHub, CI/CD, Docker.

- Microsoft AI / Cloud : Azure AI Foundry, Azure OpenAI, Azure AI Services, Azure Cloud.

- Data : Snowflake, SQL, Data pipelines / ETL.

- Analytics : Qlik Sense / Qlik.

Preferred Experience :

- 10 - 15+ years of technology / software / data experience.

- 5+ years of hands-on AI/ML/GenAI development experience.

- Experience leading an AI / Data Science / Engineering team.

- Pharmaceutical / Life Sciences / Manufacturing experience preferred.