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AI Full Stack Engineer, Manager - Tax Transformation

Deloitte

AI Full Stack Engineer, Manager - Tax Transformation

Deloitte

Arlington, VA; Atlanta, GA; Austin, TX; Boston, MA; Chicago, IL; Costa Mesa, CA; Dallas, TX; Denver, CO; Houston, TX; Jersey City, NJ; Los Angeles, CA; Miami, FL; New York, NY; Philadelphia, PA; Portland, OR; Richmond, VA; San Antonio, TX; San Diego, CA; San Francisco, CA; San Jose, CA; Seattle, WA; Tampa, FL

·

On-site

·

Full-time

·

1mo ago

Compensation

$119,490 - $272,090

Benefits & Perks

Top Tier compensation with equity

Health, dental, and vision coverage

Annual team offsites

Flexible PTO policy

Wellness benefits

Required Skills

Python

TensorFlow

Airflow

If you are a technology visionary with a passion for transforming global tax business with digital technology, consider working with the US Tax Transformation technology team. This is an exciting opportunity to support global execution of Deloitte’s tax strategy as we shift from “doing digital” to “being digital” by reimagining how we engage with our clients, deliver our services, operate our business, and create value.

Recruiting for this role ends on May 31, 2026.

What You’ll Do

As a Deloitte Tax AI Full Stack Engineer, Manager, you’ll play a lead role in designing, developing, and deploying cutting-edge web applications and features that solve key business challenges. You’ll work hands-on across the entire technology stack, collaborating closely with other engineers, data scientists, and business stakeholders to deliver robust, scalable solutions and integrate AI components into modern web applications.

Responsibilities:

  • Participate in requirements analysis and collaborate on software design and architecture with US colleagues, vendors, and global team members.
  • Write clean, scalable, and maintainable code using .NET programming languages; revise, refactor, and debug as needed.
  • Develop, support, and maintain technology solutions, ensuring applications meet client expectations in scope, functionality, quality, and delivery standards.
  • Test, deploy, and monitor applications, striving for high code quality and minimal bugs in production.
  • Leverage industry best practices in software development, version control, and Agile methodologies; participate in daily SCRUM calls and provide task updates.
  • Work collaboratively across on-shore and off-shore teams to foster a culture of teamwork and knowledge sharing.
  • Continuously learn and apply project management processes, development tools, and testing methodologies relevant to the team and projects.
  • Design and implement AI-driven features in enterprise web solutions (e.g., LLM-powered recommendations, intelligent search).
  • Collaborate with data science teams to integrate and productionize machine learning models.
  • Develop and optimize RESTful APIs for AI/ML services, including prompt engineering for GenAI solutions.
  • Utilize Azure AI/ML platform, vector databases, and related tools for the deployment and monitoring of AI features.

The Team

Deloitte Tax LLP's Tax Transformation Office (TTO) is responsible for the design, development, and deployment of innovative, enterprise technology, tools, and standard processes to support the delivery of tax services. The TTO team focuses on enhancing Deloitte Tax LLP’s ability to deliver comprehensive, value-added, and efficient tax services to our clients. It is a dynamic team with professionals of varying backgrounds from tax technical, technology development, change management, Six Sigma, and project management. The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development, engagement management, tool design, and implementation.

Qualifications

Required:

  • Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 – 3 days per week.
  • Bachelor’s degree in computer science or a relevant discipline.
  • 5 + years of experience in full stack web development and strong hands-on experience on C#, SQL Server, OOPS Concepts, Micro Services Architecture.
  • Demonstrated proficiency in modern front-end frameworks (e.g., Angular, React).
  • Proven hands-on experience on .NET Core, ASP.NET Core Web API, SQL, NoSQL, Entity Framework 6 or above, Azure, Database performance tuning, Applying Design Patterns, Agile.
  • Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited Sponsorship may be available.
  • One of the following active accreditations obtained:
  • Licensed CPA in state of practice/primary office if eligible to sit for the CPA
  • If not CPA eligible:
  • Licensed Attorney
  • Enrolled Agent
  • Technology Certifications:
  • AWS Certified Solutions Architect
  • Certified SAFe® Advanced Scrum Master
  • Certified SAFe® Agile Software Engineer
  • Certified SAFe® Agilist
  • Certified SAFe® Architect
  • Certified SAFe® DevOps Practitioner
  • Certified SAFe® Practitioner
  • Certified SAFe® Scrum Master
  • Certified Scrum Developer (CSD)
  • MCSD: Application Lifecycle Management Solutions Developer
  • MCSD: Web Applications
  • Microsoft Azure
  • Microsoft Certified Solutions Developer (MCSD)
  • Microsoft Certified Solutions Expert (MCSE)
  • Microsoft MCSD Certification
  • Professional Scrum Developer™ (PSD)
  • Professional Scrum Product Owner™(PSCPO) – SCRUM.org
    Preferred:
  • Practical experience integrating and utilizing AI/ML features in web applications, including prompt engineering and working with Gen AI models.
  • Familiarity with designing and integrating databases (SQL, NoSQL) and working with vector databases, RAG, and hybrid search approaches.
  • Prior experience developing agentic AI applications or GenAI-powered modules.
  • Experience with Azure (cloud hosting, DevOps/build/release pipelines), MongoDB, and Entity Framework.
  • Excellent troubleshooting and communication skills.
  • Strong verbal and written communication skills; strong listening, interpersonal, and facilitation skills.
  • Knowledge on Angular, Mongo DB, NPM and Azure Devops Build/Release configuration.
  • Self-starter with solid analytical and problem-solving skills.
    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 $119,490 to $272,090.

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.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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About Deloitte

Deloitte

Deloitte

Private Partnership

A business consulting company that offers audit, consulting, financial advisory, and tax services.

10,001+

Employees

London

Headquarters

Reviews

3.4

17 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.8

Career

2.2

Management

1.5

25%

Recommend to a Friend

Pros

Professional development and certification support

Opportunities to work on critical projects

Recognition of high performers

Cons

Poor management and leadership decisions

Unfair promotion processes despite good performance

Layoffs and job insecurity

Salary Ranges

87,539 data points

Mid/L4

Director

Mid/L4 · Project Delivery Specialist

5,493 reports

$121,036

total / year

Base

$115,750

Stock

-

Bonus

$5,287

$88,507

$166,485

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

29%

Experience

Positive 14%

Neutral 29%

Negative 57%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Hiring Manager Interview

4

Behavioral Interview

5

Team/Panel Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Case Study

Past Experience

Culture Fit