Agentic Capability AI and Data Science Engineer

Experteer Overview As an Agentic Capability Engineer at Deloitte AI & Engineering, you design, build, and maintain the agentic infrastructure powering AI-driven delivery at scale. You work on agent systems, reusable prompts and context patterns, and MCP servers to enable orchestration across platforms. You’ll implement DevSecOps for AI workflows, deliver tooling and templates for enterprise reuse, and guide ADEs and AEMs in using the agentic stack. You’ll operate in a cross-functional setting that values reliability, performance, and scalable AI delivery, shaping how clients innovate and scale AI capabilities. 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 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 with platform/infrastructure impact * 5+ years building/deploying AI/ML systems in production * 5+ years experience with cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years prompt engineering and context optimization skills with measurable quality improvements * 2+ years designing reusable tools, frameworks, or developer productivity infrastructure * Ability to travel 50% * Legally authorized to work in the United States without sponsorship; able to obtain required clearance Key requirements *

build, 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 with platform/infrastructure impact * 5+ years building/deploying AI/ML systems in production * 5+ years experience with cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years prompt engineering and context optimization skills with measurable quality improvements * 2+ years designing reusable tools, frameworks, or developer productivity infrastructure * Ability to travel 50% * Legally authorized to work in the United States without sponsorship; able to obtain required clearance Key requirements *