Agentic AI Engineer, Senior - Anthropic/Claude

Deloitte•Tampa, FL

52d•$122,000 - $240,500•Onsite

About The Position

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations. Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering 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. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Requirements

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
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 the performance, reliability, and usability of AI solutions
1+ years 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, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available
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

Nice To Haves

Experience in consulting or other client-facing delivery roles
Experience using Claude Cowork to support enterprise workflows, automation, research, or other knowledge-work use cases
Hands-on experience using Claude through one or more of the following: 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
Certifications such as Claude Certified Architect – Professional (CCAR-P), Claude Certified Architect – Foundations (CCAR-F), or Claude Certified Developer – Foundations (CCDV-F)
Cloud certification(s) - AWS, Azure, or Google Cloud
Experience creating client workshop collateral and leading interactive working sessions
Experience presenting technical content to both large and small audiences

Responsibilities

Manage day-to-day interactions with client stakeholders and sponsors, acting as the primary technical point of contact for your workstream
Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based integrations, using the Claude Agent SDK and Claude Cowork
Manage and 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
Develop and maintain project scope, schedule, and resource plans for your workstream, and adjust them as engagement needs evolve
Monitor progress against plan, identify variances, and drive corrective action before issues affect delivery
Manage changes to scope, schedule, and cost in line with the engagement's change management process
Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery
Maintain clear, consistent communication with client stakeholders and internal engagement leadership
Designing and building agentic AI solutions powered by Claude, from proof-of-concept through production deployment
Implementing multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails
Modernizing existing AI/ML or data platforms to incorporate Generative AI capabilities, including retrieval-augmented generation and agent-based orchestration
Advising clients on Generative AI adoption strategy, responsible AI practices, and model/platform selection
Partnering directly with client technology, data, and business stakeholders to scope and deliver AI solutions