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 robust AI engineering team, establishing development standards, and converting business opportunities into scalable AI solutions.

The ideal candidate should be technically strong, an experienced Python/AI developer, and capable of leading a team of AI Engineers, Data Engineers and AI/ML specialists.

Experience in Pharmaceutical / Life Sciences / Manufacturing will be preferred.

Key Responsibilities

1. AI & GenAI Development Primary

- 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.
- Evaluate and implement emerging AI technologies.

2. 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.
- Conduct technical reviews and ensure engineering quality.
- Establish standards for Git, CI/CD, testing, documentation and production deployment.




- Develop internal AI capabilities and reduce dependency on external vendors.
- Create a culture of innovation, experimentation and rapid prototyping.

3. 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.
- Ensure AI solutions can integrate securely with enterprise systems.

4. 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

- Prioritize AI use cases based on business value, feasibility and data availability.
- Ensure successful adoption and measurable business outcomes.

5. 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.
- Utilize Qlik and enterprise analytics as inputs to AI-driven insights and applications.
- Integrate AI solutions with SAP, Salesforce,



ServiceNow, manufacturing systems and other enterprise platforms.

6. Stakeholder & Partner Management

- Work closely with business leaders, IT teams and functional stakeholders.
- Translate business problems into practical AI solutions.
- Manage technology partners and AI development vendors where required.
- Present AI roadmap, solutions and progress to senior management.

Must-Have Technical Skills

AI / GenAI

- Generative AI / LLMs
- AI Agent / Agentic AI development
- RAG architecture
- Prompt Engineering
- Vector Databases
- LangChain / LangGraph or equivalent frameworks
- Machine Learning / Predictive Analytics
- AI evaluation and monitoring

Development

- Python – Advanced
- REST APIs
- FastAPI / equivalent
- Git / GitHub
- CI/CD
- Docker / containerization
- Software engineering and coding best practices

Microsoft AI / Cloud

- Azure AI Foundry
- Azure OpenAI
- Azure AI Services
- Azure Cloud
- Azure AI / ML services

Data

- Snowflake
- SQL
- Data pipelines / ETL
- Data modelling
- API-based data integration

Analytics

- Qlik Sense / Qlik
- Advanced Analytics

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.
- Proven experience taking AI solutions from PoC to production.
- Experience building internal AI capabilities rather than only managing vendors.

Pharmaceutical / Life Sciences / Manufacturing experience preferred

📌 Assistant General Manager-IT (Mumbai)
🏢 Piramal Pharma
📍 Mumbai