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. About the Team 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. Responsibilities Architecture & Technical Leadership 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. Team Leadership & Mentorship 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. Cloud & Platform Engineering 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. Security & Data Protection 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. Delivery & Engineering Excellence 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. AI Integration & Document Processing 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. Stakeholders & Collaboration Model 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) Technology Environment Core Backend & Data: Python 3.12+, FastAPI, async‑first service design (AsyncIO), Pydantic/Pydantic Settings, Uvicorn/Gunicorn, SQLAlchemy (async ORM) with Alembic migrations, Azure PostgreSQL. Cloud & Platform (Microsoft Azure): Azure App Service and Azure Functions, Azure Service Bus, Azure Blob Storage, Azure Key Vault, Azure API Management, Managed Identity, Azure Monitor / Application Insights. AI & Document Processing: Azure Foundry, OpenAI Python SDK (chat and embeddings), Microsoft Agentic Framework, Azure AI Document Intelligence, FAISS, scikit‑learn, RapidFuzz, PyMuPDF/pypdf, pandas, numpy. Security & Identity: Microsoft Entra ID / Azure AD, Okta, OAuth2/OIDC, JWT, machine‑to‑machine API authentication, Key Vault‑backed secrets, encrypted storage, tenant isolation, audit logging. DevOps, Testing & Observability: Azure DevOps Pipelines, Octopus Deploy, Veracode scanning, pytest, pytest‑asyncio, pytest‑cov, OpenTelemetry, structlog. Frontend / UI (lightweight): Jinja2 templates, HTML/CSS, vanilla JavaScript served via FastAPI. Qualifications 7+ years of professional software engineering experience. 2+ years of 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. We are open to candidates across a range of seniority; scope, title, and compensation will be aligned to the selected candidate's experience and qualifications. We appreciate talent from all over the United States and are willing to consider candidates who may not be located near a Crowe office location for this role/opening. Compensation The disclosed salary range for this role is $95,500.00 – $195,400.00 per year. The range is based on skill set, experience and other business factors and is not adjusted for geographic differential. Application Deadline The application deadline for this role is 09/01/2026. Equal Opportunity Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws. #J-18808-Ljbffr Crowe