Agentic Capability AI and Data Science Engineer

Experteer Overview In this role you will design, build, and maintain the agentic infrastructure powering AI-driven delivery at scale. You will work within Deloitte’s AI & Engineering team to enable AI agents and systems that help clients transform operations. You’ll shape reusable patterns, tooling, and platforms, driving reliability, security, and performance. This is a hands-on engineering role with cross-functional collaboration and a focus on impactful, scalable AI workflows. Compensation / Benefits * Design agent system architecture and implement DevSecOps practices for AI workflows * Build and maintain AI agents, agent systems, and reusable skills/workflows for delivery teams * Develop and govern prompt and context engineering patterns for consistent outputs * Stand up MCP (Model Context Protocol) servers, CLI tools, and agent testing frameworks * Deliver platform configuration and integrations (CI/CD pipelines, repositories, environments, guardrails) * Standardize orchestration components, templates, harnesses, and observability for enterprise reuse * Improve reliability, performance, and maintainability of agent delivery capabilities * Provide technical guidance to ADEs and AEMs on effective use of agentic infrastructure Tasks * Bachelor’s degree in Computer Science, Data Science or Engineering * 7+ years of software engineering experience with demonstrated platform or infrastructure impact * 5+ years hands-on experience building, deploying, or integrating AI/ML systems in production * 5+ years experience with cloud platforms and infrastructure automation (Terraform, Kubernetes, etc.) * 2+ years experience with prompt engineering and context optimization with measurable quality improvements * 2+ years experience designing reusable tools, frameworks, or developer productivity infrastructure * Travel ~50% based on client engagements * Must be legally authorized to work in the United States without sponsorship; must obtain required clearance Key requirements *

you components, templates, harnesses, and observability for enterprise reuse * Improve reliability, performance, and maintainability of agent delivery capabilities * Provide technical guidance to ADEs and AEMs on effective use of agentic infrastructure Tasks * Bachelor’s degree in Computer Science, Data Science or Engineering * 7+ years of software engineering experience with demonstrated platform or infrastructure impact * 5+ years hands-on experience building, deploying, or integrating AI/ML systems in production * 5+ years experience with cloud platforms and infrastructure automation (Terraform, Kubernetes, etc.) * 2+ years experience with prompt engineering and context optimization with measurable quality improvements * 2+ years experience designing reusable tools, frameworks, or developer productivity infrastructure * Travel ~50% based on client engagements * Must be legally authorized to work in the United States without sponsorship; must obtain required clearance Key requirements *