- 15 or more years of experience with a Bachelor’s Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience.
- Demonstrated track record shipping AI or ML systems that run in production at enterprise scale — not demos or isolated POCs.
- Deep fluency with modern generative AI stacks: foundation model APIs, RAG, vector search, tool-use / function calling, agent orchestration, and evaluation frameworks.
- Expert-level software craft: Python required; strong additional experience in at least one of TypeScript/Java/Go; rigorous testing, observability, and API design.
- Experience designing platforms used by other engineering teams (internal developer platforms, ML platforms, or equivalent).
- Strong systems thinking: latency, reliability, cost, data lineage, identity/auth, secrets, and failure modes of probabilistic systems.
- Proven ability to operate in a regulated industry (financial services, payments, healthcare, or similarly constrained environments).
- Excellent written and verbal communication with executives and with engineers; can write an architecture decision record and a board-ready risk brief.
- Bachelor’s in Computer Science or related field required; Master’s or equivalent depth preferred.
- Experience in payments, commerce, fraud/risk, identity, or large-scale transaction systems.
- Hands-on work with agent frameworks (e.g., LangGraph or equivalent), MCP-style tool protocols, and multi-agent patterns.
- MLOps / LLMOps platform experience (feature stores, model registries, experiment tracking, online/offline eval pipelines).
- Prior ownership of AI governance engineering: policy-as-code, access minimization, PII handling, model cards, audit trails.
- Experience standing up forward-deployed or tiger-team models that embed with business domains.
- Open-source contributions, internal platform adoption metrics, or published technical writing that other engineers actually use.
Information for US Applicants For roles located in the US, the estimated salary range for this position is $230,500.00 to $ 369,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.