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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic AI Delivery Consultant - **Company:** Deloitte T.T.L. - **Location:** Mechanicsburg, PA, United States - **Salary:** $71,300 - $118,900 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Business Analytics Applications, Microsoft Azure, BigQuery, Cloud Computing, Python (Programming Language), Key Management, Machine Learning, Azure Active Directory, Software Engineering, Enterprise Search, Google Cloud, LangChain, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, AWS Lambda, Agentic-AI, AWS ECS, Event Driven Architecture, Build Management, AI Platforms, Kubernetes, Information Technology, Amazon Bedrock, CrewAI, Azure OpenAI API, AutoGen, Machine Learning Operations, Claude, Azure AI, Google Gemini, Model Context Protocol, Agent SDK, Semantic Kernel, AIOps, Microservices - **Published:** October 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=65c4d1cab223b010 ## About the Role * 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, Required: * 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. Preferred: * 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. 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 $71,300 to $118,900. 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. ## Description 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.