Tax Artificial Intelligence Manager

Crowe LLP•Dallas, TX

2d•$95,500 - $195,400•Remote

About The Position

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. Tax domain knowledge is not required. The successful candidate should be comfortable learning business workflows from subject matter experts and translating those workflows into reliable software systems. You will own technical direction across backend services, asynchronous processing, AI integrations, cloud infrastructure, data persistence, security, and observability, balancing speed, quality, risk, and maintainability.

Requirements

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

Nice To Haves

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.

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, data, and security.
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.
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.
Coach and develop engineers, quality assurance professionals, and business analyst, supporting 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.
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.
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.
Partner with security and compliance stakeholders on identity, access, and responsible-use standards.