About this role
Summary: Architect and deliver enterprise-grade AI solutions, focusing on GenAI, agent-based systems, and LLM orchestration. Own the technical roadmap, guide engineering best practices, and serve as a thought leader in implementing scalable, secure, and efficient AI workflows.
Location : Bengaluru
Designation : Senior Associate
Role Title: Lead Senior Associate | Creative Technology (Automation/AI/ML/RPA) |
Location: Bangalore & Hyderabad, Hybrid (3 days onsite, 2 days remote)
Entity: Deloitte Touche Tohmatsu India LLP
About the Role
As a Senior AI Engineer, you will architect and deliver enterprise-grade AI solutions, with a strong emphasis on GenAI, agent-based systems, and LLM orchestration. You will own the technical roadmap, guide engineering best practices, and serve as a thought leader in implementing scalable, secure, and efficient AI workflows. You will drive innovation, elevate the engineering bar, and play a pivotal role in shaping Ecolab’s applied AI capabilities.
Key Responsibilities:
- Own end-to-end technical design and delivery of GenAI/agentic systems for internal or external applications
- Architect multi-agent workflows using tools like LangChain, A2A protocols, and custom orchestration frameworks
- Guide the design and tuning of prompt architectures, context strategies (e.g., with MCP), and hybrid RAG pipelines
- Integrate AI services into enterprise platforms such as Azure Foundry, Databricks, and core business systems
- Lead engineering pods, mentor engineers across levels, and drive technical alignment across product and platform teams
- Push the boundaries of performance, latency, and accuracy through research-backed optimization
- Define reusable templates, shared components, and internal GenAI SDKs Enforce standards around ethical AI use, context control, prompt security, and hallucination mitigation
Required Qualifications / Must have:
- 4+ years of experience in AI/ML/GenAI solutioning, with 2+ years in technical leadership
- Deep proficiency in Python 3 with strong command over openai, pydantic, transformers, faiss, and langchain
- Demonstrated experience in deploying scalable GenAI solutions with cloud-native design
- Strong working knowledge of Azure cloud services, GitHub workflows, and CI/CD best practices
- Experience in vector store optimization, token-level control, and prompt performance management
- BE/BTech/ME/MTech/BCA/MCA (Any graduate)
Preferred Qualifications / Good to Have:
- Hands-on leadership in projects involving MCP, A2A orchestration, or custom agentic services
- Contributor to open-source GenAI tooling or frameworks
- Familiarity with prompt observability and compliance tooling
- Experience in conducting code reviews, architecture walkthroughs, and internal capability building
- Thought leadership via internal brown-bags, hackathons, or community talks