Assistant Manager | Creative Technology (Automation/AI/ML/RPA) | Bengaluru | Engineering as a Servic

Location : Bengaluru Designation : Assistant Manager Role Title : Assistant Manager | 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 Lead 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: 7+ years of experience in AI/ML/GenAI solutioning, with 3+ 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 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