Customer - GPS- Sales and Services - Agentic AI Platform- Senior Consultant, Technical Transformation
Deloitte
Multiple Locationsonsiteseniorfull time8/12/2026
Deloitte
The Customer Team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, GenAI, transformative technologies, and creative design. We enable Deloitte client service teams to enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital product and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects, balancing business strategy, technology, creativity, and ongoing managed services to help solve the biggest problems that impact customers, partners, constituents, and the workforce. We also offer Business Process as a Service, enabling organizations to streamline operations and achieve greater efficiency through scalable, technology-enabled managed insights that guide ongoing transformation and operational excellence.
Position Summary
Level: Senior Consultant or equivalent
Agentic AI Platform Engineer (SDE 3) - Python, FastAPI, Go/Java, Agent Orchestration, Prompt Engineering
You'll own a domain of our agentic AI platform end to end - architecture, roadmap, and the standards other engineers build against — and act as the senior technical voice for that domain across a multi-team delivery organization. This is a hands-on senior role: you'll still ship code, while also directing the engineers building within your domain. Agentic AI is a genuinely unsettled field - defining the right pattern is as much the job as building it.
Work you’ll do:
Define and evolve architecture, roadmap, and engineering standards for a domain of the platform
Direct and review the work of other engineers building within your domain; mentor engineers on agentic-system design and evaluation practices
Act as connective technical tissue across delivery, security, and platform teams - build influence through design reviews, written guidance, and reference implementations
Build automated evaluation pipelines - LLM-as-judge workflows, regression evals, guardrail testing — and diagnose agent failure modes across prompting, tool selection, retrieval, latency, and cost
Integrate internal APIs and data sources for safe autonomous action, within the security and data-governance constraints of regulated/federal delivery environments
Build TokenOps/cost-governance capability — model routing, tiering, semantic caching, per-invocation cost attribution.
The Team:
The team builds first-party delivery platforms and agentic tooling that let engagement teams deliver faster and more reliably. It brings together platform, backend, and AI engineering to move toward an agentic SDLC — where agent capabilities are built as products and adopted across the portfolio.
Qualifications
BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Must Have Skills/Project Experience/Certifications:
8+ years of software engineering experience, including 5+ years of production Python and a compiled language (Go or Java) for infrastructure-grade services
Demonstrated ownership of a technical domain or platform component end to end, including directing or mentoring other engineers building within it
Hands-on experience with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or Claude SDK) and tool-use/integration patterns such as Model Context Protocol (MCP)
Experience building automated evaluation and guardrail systems for LLM/ML systems in production
Experience with AWS Bedrock managed services (Bedrock Agents, Action Groups, Knowledge Bases, Guardrails) or equivalent cloud AI services
Experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector, or OpenSearch), containerization (Docker, Kubernetes), and secure API design
Track record of solving problems with no established playbook and turning the result into a pattern others can reuse
Strong written and verbal communication - you'll be the technical reference point other teams design against
Good to Have Skills/Project Experience/Certifications
AWS Certified AI Practitioner
AWS Certified Developer - Associate
Azure AI Cloud Developer Associate
Location
:
Bengaluru/Hyderabad/Pune/Chennai/Kolkata
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