Agentic AI Delivery Consultant

Position Summary

Our Deloitte AI & Engineering team works 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.

As a Delivery Consultant, AI and Analytics Solutions, you will help design and deliver generative artificial intelligence (AI) and agentic AI solutions that address complex mission and business needs for government and public-sector organizations.

Work you'll do

As a Delivery Consultant, AI and Analytics Solutions on the AI & Data team, you will be responsible for:

• Design and build generative AI and agentic AI solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP)-based integrations using the Claude Agent SDK and Claude Cowork.
• Deliver components of client engagements 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 issues affect delivery.
• Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery.
• Maintain clear, consistent communication with client stakeholders and internal engagement leadership.

• 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 provide clear guidance to others

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
• Ability to obtain and maintain a Secret level security clearance
• 4+ years of experience delivering artificial intelligence and machine learning (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+ years 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+ years of experience using one or more cloud platforms to build or deploy agentic AI applications:
• Microsoft Azure (Azure AI Foundry, Azure OpenAI Service, Azure AI Search or vector databases, Cognitive Services, Microsoft Entra ID, and Azure Key Vault);
• Amazon Web Services (AWS) (Amazon Bedrock, Knowledge Bases, Guardrails, Prompt Flows, retrieval-augmented generation (RAG) pipelines, AWS Lambda, Amazon Elastic Container Registry, Amazon Elastic Compute Cloud, Amazon Q Business, Amazon Q Developer, Amazon Cognito, AWS Identity and Access Management, AWS Secrets Manager, and AWS Key Management Service);
• Google Cloud Platform (GCP) (Vertex AI, Gemini application programming interface (API), Google AI Studio, BigQuery, Cloud Run, Cloud Functions, and Google Kubernetes Engine).
• 1+ years of experience leading project workstreams or engagements for AI solution design and delivery.
• You must reside within a commutable distance of your assigned office with the ability to commute daily, if required, without the need for overnight accommodations.
• You can expect to co-locate on average 2 times a week with variations based on types of work/projects and client locations.
• Ability to travel up to 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.

• 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, Amazon Web Services (AWS) Certified Machine Learning - Specialty, AWS Certified Solutions Architect - Professional, Google Cloud Professional Machine Learning Engineer, or Google Cloud Professional Cloud Architect.
• Experience with large language model (LLM) prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) architecture.
• Experience with machine learning operations (MLOps) or artificial intelligence operations (AIOps), continuous integration and continuous delivery (CI/CD) pipelines, cloud-native application development, application programming interface (API) design, microservices architecture, and event-driven systems.