Tax Artificial Intelligence Manager

Job Description

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you are trusted to deliver results and make an impact. We embrace you for who you are, care for your well‑being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80‑year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups.

That's why we continuously invest in innovative ideas, such as AI‑enabled insights and technology‑powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

The Tax Artificial Intelligence Manager leads the engineering team responsible for building and evolving an AI‑enabled application platform that supports document processing, workflow automation, AI‑assisted analysis, and internal and external user‑facing applications for tax. This role sits at the intersection of software architecture and AI/technology execution, partnering with product owners, business subject matter experts (SMEs), security, and infrastructure teams to translate real jobs to be done into secure, scalable, enterprise‑grade software.

• Lead the architecture, design, and delivery of AI‑enabled software products and internal platforms, owning decisions across backend services, async processing, AI integrations, cloud, data, and security.

• Manage and mentor software engineers, quality assurance professionals, and business analysts, providing technical guidance, code review, delivery planning, and career development.
• Coach and develop engineers, quality assurance professionals, and business analysts to support career growth and strong delivery habits.
• Run code reviews, delivery planning, and technical guidance that raise the quality bar across the team.
• Partner with product owners and business SMEs to translate ambiguous needs into clear, deliverable technical work.

• Own cloud architecture on Microsoft Azure, including async and event‑driven workloads, background jobs, and reliable, cost‑effective operations.
• Oversee asynchronous job processing using Azure Service Bus and Azure Functions.
• Support production troubleshooting, performance tuning, cost management, and reliability improvements.
• Strengthen observability through structured logging, tracing, and Azure Monitor / Application Insights.

• Ensure secure handling of data, secrets, authentication, authorization, tenant isolation, encrypted storage, and auditability.
• Partner with security and compliance stakeholders on identity, access, and responsible‑use standards.
• Ensure secure handling of data, secrets, identity, authorization, tenant isolation, encrypted storage, and audit logging.

• Improve engineering practices around testing, CI/CD, monitoring, deployment, documentation, and operational support.
• Establish development standards for clean architecture, dependency injection, async design, and API consistency.
• Maintain and evolve a Python/FastAPI monorepo with multiple application services and shared packages.
• Make pragmatic architecture decisions that balance speed, quality, risk, and long‑term maintainability.

• Guide integrations with Azure Foundry, Azure AI Document Intelligence, and other Azure resources across document‑processing and AI‑assisted analysis pipelines.
• Establish responsible, repeatable patterns for prompting, embeddings, semantic search, and AI evaluation within controlled enterprise tools.

• Development team (direct reports, delivery owners)
• Product owners and business/tax SMEs (requirements, prioritization, workflows)
• Security, compliance, and infrastructure teams (identity, governance, approved tooling)
• Client‑facing and leadership stakeholders (roadmap, delivery commitments, business outcomes)

• Core Backend &…