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Deloitte

Agentic AI Engineer, Senior - Anthropic/Claude

Boston, MA, United States

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Job details

Posting language: English
Posted: Aug 24, 2026

Original job description

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.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.

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

You'll be deployed onto client engagements that typically involve one or more of the following:

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

A successful candidate would possess these skills:

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

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

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

Preferred:

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

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 $122,000 to $240,500.

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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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Skills

Requirements gathering
Change management
Communication skills
Leadership
Business processes
ML
Work independently
Attention to detail
Interpersonal skills
Meet deadlines
Computer science
Research
AWS
Microsoft Azure
Google Cloud

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