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Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

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

A successful candidate would possess these skills:

• 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

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

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 

Preferred: 

• 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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,000 to $218,300.

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.

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

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

A successful candidate would possess these skills:

• 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

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

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 

Preferred: 

• 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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,000 to $218,300.

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.