AI Engineer, Manager - Tax Transformation

What You'll Do

As a Deloitte Tax, AI Engineer Manager, you will oversee the design, development, deployment, and support of custom AI applications and modules to address key business needs. You will lead a team of engineers, drive project execution, manage stakeholder communications, and ensure high-quality deliverables aligned with organizational objectives.

Recruiting for this role ends on May 31, 2026.

• Define and enforce best practices and coding standards across the project.
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality.
• Work both independently and in close collaboration with others in the team.
• Communicate clear instructions to team members and help manage the flow of day-to-day operations.
• Communicate with the client on a regular basis.
• Design, develop, and maintain robust and scalable Python applications.
• Write clean, maintainable, and efficient code following best practices and coding standards.
• Optimize code for performance and scalability, ensuring efficient data handling.
• Work closely with cross‑functional teams to deliver high-quality software solutions.
• Identify and resolve technical issues, ensuring the reliability and performance of applications.
• Create and maintain comprehensive documentation for code, processes, and workflows.
• Provide guidance and mentorship to junior developers, fostering a collaborative and productive team environment.

The prospective team you will be working with is responsible for the design, development, and deployment of innovative, enterprise technology tools and standard processes to support the delivery of tax services. The team focuses on delivering comprehensive, value‑added, and efficient tax services to our clients. It is a dynamic team with professionals of varying backgrounds in tax technical, technology development, change management, 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.

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, engineering, or a related discipline.
• 5+ years of experience in development with demonstrated experience designing, developing, and maintaining robust Python applications.
• Hands‑on experience in web development with FastAPI, including Pydantic for data validation/schema definition.
• Proven skills in asynchronous and parallel programming with practical experience using asyncio.
• Experience working in Agile environments and applying core design patterns.
• Demonstrated proficiency in .NET Core, ASP.NET Core Web API, and databases (SQL/No
  
  SQL, Entity Framework 6+).
• Ability to travel up to 10% on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration 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
• Licensed Attorney
• Enrolled Agent
• Technology
  
  Certifications:
• AWS Certified Solutions Architect
• Certified in Risk and Information Systems Controls (CRISC)
• Certified Information Systems Security Professional (CISSP)
• Certified SAFe® Advanced Scrum Master
• Certified SAFe® Agile Software Engineer
• Certified SAFe® Agilist
• Certified SAFe® Architect
• Certified SAFe® Dev Ops Practitioner
• Certified SAFe® Scrum Master
• Certified Scrum Developer (CSD)
• Certified Secure Software Lifecycle Professional (CSSLP)
• Certified Secure Software Lifecycle Professional (CSSLP) - (ISC)2
• Microsoft Azure

Preferred:

• Experience with LLMs (Large Language Models) in solving real‑world problems and building agentic AI applications.
• Experience with agentic frameworks such as Lang Graph.
• Advanced prompt engineering knowledge for LLM optimization.
• Exposure to multi‑modal Gen AI models (text‑image, text‑audio, etc.).
• Familiarity with Retrieval‑Augmented Generation (RAG) pipelines and vector databases/hybrid search.
• Experience with…