Agentic Capability Engineer
Indexed description
Work You'll Do
As an Agentic Capability Engineer, you will operate as a platform-focused engineer who designs, builds, and maintains the agentic infrastructure that powers AI-driven delivery at scale. The ACE develops AI agents, agent systems, crafting reusable prompt and context engineering patterns, building MCP (Model Context Protocol) servers, and integrating platforms that enable other orchestrators to work.
Additionally, you will:
- 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, context engineering patterns that produce consistent, high-quality 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, observability-for enterprise reuse
- Improve reliability, performance, and maintainability of agent delivery capabilities over time
- Provide technical guidance to ADEs and AEMs on effective use of agentic infrastructure
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Qualifications
Required:
- 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 building, deploying, or integrating AI/ML systems in production environments
- 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, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Must be able to obtain and maintain the required clearance for this role
- Strong security mindset with knowledge of AI-specific risks (prompt injection, data leakage, hallucination)
- Ability to translate complex technical capabilities into accessible patterns for other engineers
- Track record of staying current with rapidly evolving AI tools and contributing improvements proactively
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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