Tax Artificial Intelligence Manager

About the role

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re 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.

Responsibilities

• Lead the architecture, design, and delivery of AI-enabled software products and internal platforms, owning decisions across backend services, async processing, AI integrations, cloud infrastructure, data persistence, security, and observability.
• Manage and mentor software engineers, quality assurance professionals, and business analyst, providing technical guidance, code review, delivery planning, and career development.
• Own cloud architecture on Microsoft Azure, including async and event-driven workloads, background jobs, and reliable, cost-effective operations.
• Ensure secure handling of data, secrets, authentication, authorization, tenant isolation, encrypted storage, and auditability.
• 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.
• Partner with product owners and business SMEs to translate ambiguous needs into clear, deliverable technical work.
• Guide integrations with Azure Foundry, Azure AI Document Intelligence, and other Azure resources across document-processing and AI-assisted analysis pipelines.
• 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, identity, authorization, tenant isolation, encrypted storage, and audit logging.

Qualifications

• 7+ years of professional software engineering experience.
• 2+ years leading engineers as an engineering manager, technical lead, staff engineer, or architecture lead.
• Strong hands-on Python backend development experience, including production web APIs and distributed systems.
• Strong understanding of cloud architecture, preferably Microsoft Azure.
• Experience with async processing, queue-based workloads, background jobs, and event-driven systems.
• Experience with relational databases—preferably PostgreSQL—including SQLAlchemy and schema migrations.
• Familiarity with CI/CD, automated testing, code review, release management, and production support.
• Strong security mindset across secrets management, identity, authorization, encryption, and auditability.
• Ability to communicate clearly with both technical and non-technical stakeholders and to make pragmatic architecture trade-offs.
• Bachelor's degree required.

Preferred Qualifications

• Experience building AI-enabled or LLM-powered applications (Azure OpenAI, OpenAI APIs, prompt engineering, embeddings, semantic search, or AI evaluation).
• Experience with document extraction, OCR, PDF processing, or Azure AI Document Intelligence.
• Experience with multi-tenant SaaS or enterprise internal platforms.
• Experience with Microsoft Entra ID, Okta, OAuth2/OIDC, JWT, and API gateway patterns.
• Experience with Azure API Management, Azure Monitor, Application Insights, and Managed Identity.
• Experience modernizing legacy applications or moving teams toward cleaner architecture and stronger engineering practices.
• Experience with financial, accounting, tax, compliance, or professional services workflows is helpful but not required.