Senior AI Engineer, Finance AI & Automation

Quick Facts

• Role: Senior AI Engineer (Finance AI & Automation)
• Focus: Production-grade AI across Finance with end-to-end ownership

Description

The role designs, builds, and operates production-grade AI solutions across Finance, including web experience and APIs, agentic workflows, retrieval and data integration, evaluation, and ongoing monitoring. Work is performed on an enterprise AI platform with governance to ensure safety, auditability, and regulatory readiness. Typical use cases include variance analysis, reconciliations and manual journal entries, close acceleration, controllership and policy research, and treasury forecasting.

Responsibilities

• Solution engineering: Design, build, and deploy end-to-end AI applications (web front ends, backend services and APIs) integrated with Finance data and systems.
• Agentic AI and LLM systems: Build multi-step agentic workflows using tool/function calling, MCP integrations, and orchestration frameworks.
• RAG: Implement retrieval-augmented generation over Finance policies, documents, and structured data (chunking, embeddings, vector search, context engineering).
• Human-in-the-loop: Add controls for material judgments, approvals, and financial postings.
• Evaluation and quality: Build evaluation harnesses with golden datasets; measure accuracy, consistency, groundedness, and regression across model/prompt changes.
• Production readiness: Partner on CI/CD, security reviews, resilience, and support handover; use shared platform services (AI gateway, guardrails, registry, observability).
• Operations: Instrument tracing, usage/cost, and drift monitoring; respond to and resolve production issues.
• Governance, risk, and data controls: Serve as AI Developer under governance program with documentation, testing evidence, and ongoing monitoring plans.
• Data controls: Apply data classification, access controls, PII protection, and lineage.
• Adoption and leadership: Run demos/pilots, track adoption/value realization, and build reusable components/templates; review code and mentor.

Requirements

• 7+ years of professional software engineering experience, including 2+ years building and deploying LLM/generative AI to production.
• Expert Python and proficiency with a modern front-end framework (React/TypeScript preferred).
• Strong API design, SQL, and data modeling skills.
• Hands-on experience with agent orchestration frameworks, RAG architectures, vector databases, prompt/context engineering.
• Experience with cloud AI services (Azure OpenAI/Azure AI Foundry and/or AWS Bedrock), containers, CI/CD, and observability tooling.
• Proven ability to evaluate non-deterministic systems and build automated test/evaluation pipelines.
• Experience in regulated environments with auditability, explainability, security, and data privacy.
• Ability to communicate technical concepts clearly to non-technical Finance stakeholders.
• Bachelor’s degree in a relevant field or equivalent experience.

Benefits

• Work that shapes how AI changes Finance with senior Finance leadership.
• Build real solutions that go to production on an enterprise AI platform designed for scale and governance.
• Help establish engineering and Responsible AI standards for Finance AI.
• Health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.
• Performance-based incentives/discretionary bonuses and other perks/rewards.