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.

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.

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.

• 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 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.

• 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.

• Partner with security and compliance stakeholders on identity, access, and responsible‑use standards.

Collaborate across development teams, product owners, tax SMEs, security, compliance, and infrastructure stakeholders to align on roadmap, delivery commitments, and business outcomes.

• Core Backend & Data:
  Python 3.12+, FastAPI, async‑first service design (AsyncIO), Pydantic, Uvicorn/Gunicorn, SQL Alchemy (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, Rapid Fuzz, PyMuPDF, pypdf, pandas, numpy.
• Security & Identity:
  Microsoft Entra  / Azure AD, Okta, OAuth2 / OIDC, JWT, machine‑to‑machine API authentication, Key Vault‑backed secrets, encrypted storage, tenant isolation, audit logging.
• Dev Ops, Testing & Observability:
  Azure Dev Ops Pipelines, Octopus Deploy, Veracode scanning, pytest, pytest‑asyncio, pytest‑cov, Open Telemetry, structlog.
• Frontend / UI (lightweight):
  Jinja2 templates, HTML/CSS, vanilla JavaScript served via FastAPI.

• 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…