Agentic Capability AI and Data Science Engineer

Experteer Overview As an Agentic Capability Engineer, you design, build, and maintain AI-driven agent infrastructure at scale. You’ll work within Deloitte’s AI & Engineering team to enable reliable, secure AI workflows and reusable capabilities for delivery teams. You’ll shape agent systems, prompts, and context strategies that drive high-quality outputs while standing up MCP servers and testing frameworks. This role blends platform engineering with hands-on AI delivery, offering impact across government and public sector clients. Compensation / Benefits * Design and implement agent system architectures and 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, repos, environments, guardrails) * Standardize orchestration components for enterprise reuse (templates, harnesses, observability) * Improve reliability, performance, and maintainability of agent delivery over time * 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 of hands-on experience with AI/ML systems in production * 5+ years of experience with cloud platforms and infrastructure automation (Terraform, Kubernetes, etc.) * 2+ years of experience with prompt engineering and context optimization * 2+ years of experience designing reusable tools, frameworks, or developer productivity infrastructure * Ability to travel 50% on average * Must be legally authorized to work in the United States without sponsorship * Must be able to obtain and maintain required clearance Key requirements * discretionary annual incentive program * professional development opportunities * inclusive culture * reasonable accommodations

at orchestration components for enterprise reuse (templates, harnesses, observability) * Improve reliability, performance, and maintainability of agent delivery over time * 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 of hands-on experience with AI/ML systems in production * 5+ years of experience with cloud platforms and infrastructure automation (Terraform, Kubernetes, etc.) * 2+ years of experience with prompt engineering and context optimization * 2+ years of experience designing reusable tools, frameworks, or developer productivity infrastructure * Ability to travel 50% on average * Must be legally authorized to work in the United States without sponsorship * Must be able to obtain and maintain required clearance Key requirements * discretionary annual aaaaaaas _ program * professional development opportunities * inclusive culture * reasonable accommodations