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Deloitte

Software Engineer III - Full-stack Developer with Anthropic Experience

Boston, MA, United States

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Job details

Posting language: English
Posted: Sep 6, 2026

Original job description

Software Engineer III with Agentic AI Experience, AI & Engineering/Engineering as a Service

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 1/1/2027.

Work you'll do

As a Senior Consultant, Software Engineer III, AI & Engineering on the Engineering as a Service team, you will be responsible for designing, building, and delivering full-stack software and AI-enabled solutions for client engagements.

Architect, design and implement scalable full-stack features across front-end and back-end systems.
Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure (AWS, Azure or GCP), including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
Lead end-to-end delivery of complex features from requirements gathering through deployment and monitoring.
Integrate large language model platforms and generative artificial intelligence application programming interfaces, including Anthropic Claude, to deliver context-aware features, retrieval-augmented generation pipelines, tool-calling workflows, and automation solutions.
Collaborate with product managers, designers, and engineers to translate requirements into technical solutions, estimate work, and contribute to code reviews.
Troubleshoot defects, improve application performance, write automated tests, and support production readiness activities, including incident response and on-call rotations.

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

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Qualifications

Required:

6+ years of professional software engineering experience with a focus on full-stack development, including 3+ years of full system lifecycle development from requirements through production deployment.
4+ years of experience designing, developing and delivering AI/ML solutions
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 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
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 engagement, translating business problems into AI solutions and delivering measurable outcomes
4+ years of hands-on full-stack development experience using at least one back-end language such as Python, Java, .NET, Go, or Node.js and at least one modern front-end framework such as React, Angular, or Vue.js.
4+ years of experience in a client-facing development role, including 2+ years building and consuming Representational State Transfer (REST) and/or GraphQL application programming interfaces.
Experience with at least one major cloud platform, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and one year of hands-on experience integrating Anthropic Claude application programming interfaces into software applications in a commercial setting.
Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or another technical field, or equivalent professional experience.
Ability to travel 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 with Docker and Kubernetes.
Experience with continuous integration/continuous deployment pipelines and DevOps practices.
Experience working in an Agile/Scrum environment using tools such as Jira or Linear.
Contributions to open-source projects or a portfolio demonstrating software development work.
Industry-recognized cloud certifications such as AWS Certified Developer, Azure Developer Associate, or Google Cloud Professional Developer.
Experience using Claude Cowork to support enterprise workflows, automation, research or other knowledge-work cases
Hands-on experience using Claude through one of more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API

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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More about this job

Skills

AWS
Microsoft Azure
Google Cloud
CI/CD
Infrastructure as code
Requirements gathering
Troubleshoot
Incident response
Work independently
Communication skills
Attention to detail
Interpersonal skills
Meet deadlines
Full-stack development
ML
Python
Oracle Java
.NET
Go
Node.js
React
Vue.js
GraphQL
ICT system programming
Computer science
Docker
Kubernetes
DevOps
Agile
Scrum
Jira
Software development
AWS certification
Research

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