Tax Artificial Intelligence Manager

Tax Artificial Intelligence Manager Lead the architecture, design, and delivery of AI‑enabled software products and internal platforms that support document processing, workflow automation, AI‑assisted analysis, and user‑facing applications for tax. 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. Cloud & Platform Engineering Own cloud architecture on Microsoft Azure, including async and event‑driven workloads, background jobs, and reliable, cost‑effective operations. Security & Data Protection Ensure secure handling of data, secrets, authentication, authorization, tenant isolation, encrypted storage, and auditability. Delivery & Engineering Excellence Improve engineering practices around testing, CI/CD, monitoring, deployment, documentation, and operational support. Architecture & Delivery 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. Team Leadership (Coach & Development) Coach and develop engineers, quality assurance professionals, and business analysts, 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. 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. Cloud, Async & 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 & Compliance Partner with security and compliance stakeholders on identity, access, and responsible‑use standards. Stakeholders & Collaboration Collaborate across development teams, product owners, tax SMEs, security, compliance, and infrastructure stakeholders to align on roadmap, delivery commitments, and business outcomes. Technology Environment Core Backend & Data: Python 3.12+, FastAPI, async‑first service design (AsyncIO), Pydantic, Uvicorn/Gunicorn, SQLAlchemy (async ORM), Alembic migrations, Azure PostgreSQL. Azure Cloud & Platform: Azure App Service, 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 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. Benefits Comprehensive total rewards package including health, retirement, and other benefits. 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