Agentic Capability AI and Data Science Engineer

Experteer Overview As an Agentic Capability Engineer, you design and maintain the AI-driven delivery platform that powers scalable agent ecosystems. You will craft reusable patterns, integrate MCP servers, and enable cross-functional teams to deploy reliable AI-powered workflows. This role sits at the intersection of architecture, DevSecOps, and developer productivity, driving quality and consistency across AI delivery. You will collaborate with ADEs and AEMs and shape enterprise-grade agent infrastructure to support transformation in government and public sector clients. 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, 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 demonstrable platform or infrastructure impact * 5+ years of hands-on experience building, deploying, or integrating 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 skills with measurable quality improvements * 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; ability to obtain required clearance Key requirements *

repositories, environments, guardrails) * Standardize orchestration components-templates, harnesses, 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 demonstrable platform or infrastructure impact * 5+ years of hands-on experience building, deploying, or integrating 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 skills with measurable quality improvements * 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 aaaaw _ without sponsorship; ability to obtain required clearance Key requirements *