- Company Name
- Parker Shaw
- Job Title
- AI Evangelist
- Job Description
-
**Job Title:** AI Evangelist
**Role Summary:**
Senior professional who bridges advanced AI technologies with business needs in a financial setting. Drives responsible AI adoption through solution development, stakeholder education, and strategic advocacy, while ensuring compliance with regulatory and ethical standards.
**Expectations:**
- Deliver AI‑powered prototypes and production solutions for finance (investment banking, trading, insurance, AML, underwriting).
- Communicate complex AI concepts to technical and non‑technical audiences, including C‑suite.
- Lead AI literacy programs and represent the firm externally as a responsible AI thought leader.
- Ensure AI implementations meet strict compliance, risk, and security requirements.
**Key Responsibilities:**
- Build, deploy, and manage agentic AI architectures and generative code systems (LLMs, code generators, automation agents).
- Design, implement, and review AI‑generated and human code in Python and other backend languages, maintaining security, performance, and maintainability.
- Create testing, validation, and monitoring frameworks for AI models and code, including prompt engineering and post‑deployment oversight.
- Author technical blogs, white papers, and internal documentation on AI impact in finance.
- Conduct workshops, seminars, and training sessions across the organization.
- Advise CxO, Head of Engineering, and Architecture on AI strategy and technical roadmaps.
- Collaborate with DevOps, security, product, risk, and compliance teams to enable rapid, safe AI feature rollout.
- Mentor junior engineers and establish best practices for mixed human/AI development environments.
**Required Skills:**
- Advanced Python; strong proficiency in Java, C++, C#, Go, or similar backend languages.
- Experience with Typescript, Node.js, and modern UI frameworks.
- Hands‑on expertise with AI/ML frameworks (TensorFlow, PyTorch) and SQL.
- Proven ability to design, fine‑tune, and deploy LLM‑based solutions, including prompt, context, and retrieval‑augmented generation engineering.
- Deep knowledge of AI ethics, data privacy, guardrails, and financial regulatory compliance.
- Excellent communication, storytelling, and stakeholder‑engagement skills.
- Agile technical leadership, code review, automated testing, and documentation expertise for mixed human/AI codebases.
**Required Education & Certifications:**
- Bachelor’s or Master’s degree in Computer Science, Data Science, Finance, or a related field.
- Relevant certifications (e.g., AWS Certified Machine Learning, TensorFlow Developer, Certified Information Privacy Professional) are advantageous but not mandatory.
London - 3-4 days per week on-site, United kingdom
On site
10-11-2025