Agentic AI Engineer, Senior - Anthropic/Claude

Deloitte • Tampa, FL

81d • $122,000 - $240,500

About The Position

The Senior Agentic AI Engineer joins Deloitte’s AI & Engineering team to design, build, and deliver autonomous, multi-agent systems powered by Anthropic Claude for large organizations. The role supports client technology transformation by developing and deploying integrated AI, data, software, and cloud solutions, from early prototypes through production rollout.

The engineer leads technology-focused delivery across complex client engagements, serving as the primary technical point of contact for their workstream. Work includes designing agent orchestration and tool integrations, including Model Context Protocol (MCP) integrations, and using the Claude Agent SDK and Claude Cowork. The position also guides small teams through requirements gathering, functional design, process mapping, and support-model definition; manages workstream plans, scope, risks, and changes; and communicates progress to client stakeholders and engagement leadership.

Client projects may include building Claude-powered agentic solutions, implementing multi-agent systems that automate business processes within defined guardrails, modernizing AI/ML or data platforms with generative AI and retrieval-augmented generation, advising on responsible adoption and model selection, and collaborating with client technology, data, and business stakeholders. The role requires travel up to 50% on average. Recruiting for the role ends November 30, 2026.

Requirements

• At least 4 years of experience designing, developing, and delivering production AI/ML solutions, including at least 1 year delivering production generative AI or agentic AI systems.
• At least 2 years of hands-on experience developing AI/ML applications in Python.
• At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls.
• At least 1 year of hands-on experience developing agentic AI solutions using the Claude Agent SDK, including agent orchestration, tool integration, permissions, or MCP integrations.
• At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models through the native Anthropic API or a supported cloud platform.
• At least 1 year of experience applying prompt engineering, context engineering, structured outputs, and related techniques to improve AI solution performance, reliability, and usability.
• At least 1 year of experience leading project workstreams or engagements, translating business problems into AI solutions, and delivering measurable outcomes.
• Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, AI, or a related field.
• Ability to travel up to 50% on average, depending on work and clients or industries served.
• 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 and provide clear guidance to others.
• Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.

Nice To Haves

• Experience in consulting or other client-facing delivery roles.
• Experience using Claude Cowork for enterprise workflows, automation, research, or other knowledge-work use cases.
• Hands-on experience using Claude through Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API.
• Experience with multi-agent systems, MCP integrations, agent evaluation, observability, safety controls, or production governance.
• Claude Certified Architect – Professional (CCAR-P), Claude Certified Architect – Foundations (CCAR-F), or Claude Certified Developer – Foundations (CCDV-F) certification.
• AWS, Azure, or Google Cloud certification.
• Experience creating client workshop collateral and leading interactive working sessions.
• Experience presenting technical content to large and small audiences.

Responsibilities

• Manage day-to-day interactions with client stakeholders and sponsors, serving as the primary technical point of contact for the workstream.
• Design and build generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and MCP-based integrations with the Claude Agent SDK and Claude Cowork.
• Manage and deliver engagement components from solution design and prototyping through testing and production rollout.
• Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction.
• Develop and maintain workstream scope, schedule, and resource plans, adjusting them as engagement needs evolve.
• Monitor progress against plans, identify variances, and drive corrective actions.
• Manage changes to scope, schedule, and cost according to the engagement’s change-management process.
• Identify risks, assumptions, and constraints early, and implement approved mitigations.
• Maintain clear, consistent communication with client stakeholders and internal engagement leadership.
• Design and build Claude-powered agentic AI solutions from proof of concept through production deployment.
• Implement multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails.
• Modernize AI/ML or data platforms to incorporate generative AI capabilities, including retrieval-augmented generation and agent-based orchestration.
• Advise clients on generative AI adoption strategy, responsible AI practices, and model and platform selection.
• Partner with client technology, data, and business stakeholders to scope and deliver AI solutions.

Benefits

• Discretionary annual incentive program, subject to program rules and applicable factors.
• Broad range of employee benefits; specific benefits are not listed in the posting.
• Professional development opportunities, including on-the-job learning, formal development programs, mentorship, and leadership opportunities.

What This Job Offers

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