Agentic AI Delivery Consultant

Deloitte • Lake Mary, FL

5d • $71,300 - $118,900 • Hybrid

About The Position

As a Delivery Consultant in Deloitte’s AI and Analytics Solutions practice, you will help design and deliver generative AI and agentic AI solutions for complex mission and business needs in government and public-sector organizations. You will build solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP)-based integrations with the Claude Agent SDK and Claude Cowork. You will deliver client-engagement components from solution design and prototyping through testing and production rollout, while providing technical direction and leading small teams through requirements gathering, functional design, process mapping, and support-model definition. The role also involves monitoring delivery progress, addressing variances, managing risks and mitigations, and maintaining clear communication with client stakeholders and internal engagement leadership.

The position is part of Deloitte’s Government & Public Services practice and AI & Data offering, within the Deloitte US Delivery Center model. The role is based at one of the specified delivery center locations, with an average of two co-location days per week and travel of up to 50%, depending on work and client needs. Employees must live within commuting distance of their assigned office and be able to commute daily if required.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or a related field.
• Ability to obtain and maintain a Secret-level security clearance.
• 4+ years of experience delivering AI/ML solutions, including 1+ year focused on generative AI, agentic AI, or multi-agent systems.
• 2+ years of experience building AI/ML solutions using Python.
• 1+ year of experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows, using LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, or LangGraph.
• 1+ year of experience using one or more cloud platforms to build or deploy agentic AI applications: Microsoft Azure, AWS, or GCP, including the platforms and services listed in the posting.
• 1+ year of experience leading project workstreams or engagements for AI solution design and delivery.
• Must reside within commuting distance of the assigned office and be able to commute daily if required, without overnight accommodations.
• Ability to co-locate on average two times a week, with variation based on work, projects, and client locations.
• Ability to travel up to 50%, on average, based on work and client needs.
• Legally authorized to work in the United States without employer sponsorship now or in the future.
• Ability to work independently and collaboratively 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, dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to provide clear guidance to others.

Nice To Haves

• Experience in consulting roles with client-facing delivery responsibilities.
• Experience developing materials for client workshops and interactive client sessions, and delivering presentations to stakeholder audiences.
• Experience building multi-agent systems with task delegation and coordination across agents.
• Certification as an Azure AI Engineer Associate, Azure Solutions Architect Expert, AWS Certified Machine Learning – Specialty, AWS Certified Solutions Architect – Professional, Google Cloud Professional Machine Learning Engineer, or Google Cloud Professional Cloud Architect.
• Experience with LLM prompt engineering, fine-tuning, and RAG architecture.
• Experience with MLOps or AIOps, CI/CD pipelines, cloud-native application development, API design, microservices architecture, and event-driven systems.

Responsibilities

• Design and build generative AI and agentic AI solutions using Claude, including agent orchestration, tool integration, and MCP-based integrations using the Claude Agent SDK and Claude Cowork.
• Deliver client-engagement components spanning solution design, prototyping, testing, and production rollout.
• Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout.
• Monitor progress against plan, identify variances, and drive corrective action before delivery is affected.
• Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery.
• Maintain clear and consistent communication with client stakeholders and internal engagement leadership.

Benefits

• Broad range of employee benefits.
• May be eligible to participate in a discretionary annual incentive program, subject to program rules and applicable factors.
• Opportunities for professional development, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level