| Job Title | Assistant Manager – Creative Technology (Automation/AI/ML/RPA) |
| Company | Deloitte India |
| Designation | Assistant Manager |
| Role Title | Assistant Manager – Creative Technology (Automation/AI/ML/RPA) |
| Location | Bengaluru / Bangalore & Hyderabad, India |
| Work Arrangement | Hybrid – 3 days onsite and 2 days remote |
| Entity | Deloitte Touche Tohmatsu India LLP |
| Role Focus | AI/ML, Generative AI, Agentic AI, Automation, RPA, and enterprise AI engineering |
| Role Overview | Architect and deliver enterprise-grade AI solutions, with a strong focus on GenAI, agent-based systems, LLM orchestration, scalability, security, and efficient AI workflows. |
| Key Responsibilities | Own end-to-end technical design and delivery of GenAI and agentic systems for internal or external applications. |
| AI Architecture | Architect multi-agent workflows using LangChain, A2A protocols, and custom orchestration frameworks. |
| Prompt Engineering | Design and optimise prompt architectures, context strategies including MCP, and hybrid RAG pipelines. |
| Enterprise Integration | Integrate AI services with platforms such as Azure Foundry, Databricks, and core business systems. |
| Technical Leadership | Lead engineering pods, mentor engineers, and drive technical alignment across product and platform teams. |
| Performance Optimisation | Improve AI system performance, latency, and accuracy through research-backed optimisation. |
| Reusable AI Components | Define reusable templates, shared components, and internal GenAI SDKs. |
| AI Governance | Enforce standards for ethical AI, context control, prompt security, and hallucination mitigation. |
| Required Experience | 7+ years of experience in AI/ML/GenAI solutioning, including 3+ years in technical leadership. |
| Programming Skills | Deep proficiency in Python 3. |
| AI/ML Technologies | Strong command of OpenAI, Pydantic, Transformers, FAISS, and LangChain. |
| Cloud & Deployment | Experience deploying scalable GenAI solutions using cloud-native architecture. |
| Cloud Skills | Strong working knowledge of Microsoft Azure cloud services. |
| DevOps | Experience with GitHub workflows and CI/CD best practices. |
| Vector & Prompt Optimisation | Experience with vector store optimisation, token-level control, and prompt performance management. |
| Preferred Skills | Hands-on experience with MCP, A2A orchestration, or custom agentic services. |
| Open Source | Contribution to open-source GenAI tools or frameworks is an advantage. |
| Observability & Compliance | Familiarity with prompt observability and AI compliance tools. |
| Engineering Leadership | Experience conducting code reviews, architecture walkthroughs, and internal capability-building activities. |
| Thought Leadership | Experience contributing through brown-bag sessions, hackathons, community talks, or similar initiatives. |
| Ideal Candidate | An experienced AI/ML engineering leader with strong Python, GenAI, agentic AI, Azure, LLM orchestration, RAG, and enterprise AI architecture expertise. |
| Employment Type | Full-Time |
| Work Mode | Hybrid |
