Agentic Capability AI and Data Science Engineer

Experteer Overview As an Agentic Capability Engineer at Deloitte AI & Engineering, you design, build, and sustain the agentic infrastructure that powers AI-driven delivery at scale. You will develop AI agents and systems, create reusable prompt patterns, and integrate platforms enabling orchestration teams. You’ll implement DevSecOps for AI workflows and deliver scalable, observable, and secure delivery capabilities. This role sits at the intersection of platform engineering and AI, impacting client outcomes through innovative, reliable AI-powered platforms. Compensation / Benefits * Design agent system architecture and implement secure AI workflow practices * 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 agentic infrastructure usage Tasks * Bachelor’s degree in Computer Science, Data Science or Engineering * 7+ years of software engineering with platform or infrastructure impact * 5+ years building/deploying/integrating AI/ML systems in production * 5+ years cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years prompt engineering and context optimization with measurable quality improvements * 2+ years designing reusable tools or developer productivity infrastructure * Willingness to travel ~50% * Authorized to work in the United States without sponsorship; ability to obtain necessary clearances Key requirements *

Agentic 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 agentic infrastructure usage Tasks * Bachelor’s degree in Computer Science, Data Science or Engineering * 7+ years of software engineering with platform or infrastructure impact * 5+ years building/deploying/integrating AI/ML systems in production * 5+ years cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years prompt engineering and context optimization with measurable quality improvements * 2+ years designing reusable tools or developer productivity infrastructure * Willingness to travel ~50% * Authorized to work in the United States without sponsorship; ability to obtain necessary clearances Key requirements *