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AI Innovation Specialist (Automation Engineer)
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AI Innovation Specialist
6-MONTH CONTRACT | LONDON, HYBRID
A build-first role inside a two-person innovation team sitting within a large, global financial technology business. You'll prototype AI agents and automations that go straight in front of real users in Commercial and Operations teams, then hand proven pilots to delivery teams to scale. High autonomy, light-touch direction, fast pace.
What you'll do
- Build agents and automations across Microsoft, AWS, Salesforce, and Snowflake.
- Prototype LLM use cases on AWS Bedrock and other platforms, writing and refining prompts, agent instructions, and evaluation criteria.
- Run structured pilots with real users, measuring baseline, result, and delta, and reporting outcomes transparently.
- Iterate fast on feedback and flag early when something isn't working.
- Query and prepare data for pilots, integrating prototypes with downstream platforms.
- Produce build guides, prompt documentation, and integration requirements.
- Train frontline users on new tools through simple guides and short sessions.
- Scout automation platforms and agent frameworks outside the core stack, benchmarking capability, cost, and integration effort against the incumbent.
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What you'll bring
- Demonstrated experience building AI-enabled solutions, prototypes, agents, or automations, not just AI-aware, hands-on.
- Ability to rapidly prototype, test, and iterate on modern AI platforms.
- Solid understanding of LLM strengths, limitations, and risks.
- Comfortable gathering requirements, demonstrating solutions, and acting on feedback quickly.
- Basic commercial awareness (revenue, cost, risk) and can explain results to non-technical audiences.
- Structured, analytical problem solver who translates ambiguous challenges into practical AI and automation opportunities.
- Independent, resourceful, and comfortable with limited direction in a fast-moving environment.
- Background in a technology company, consulting firm, or similarly high-pace environment preferred.
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Nice to have
- Salesforce ecosystem, AI agent frameworks, AI coding tools, data platforms, or the AWS ecosystem.
- ML fundamentals, understands features in, predictions out, and can support model-adjacent pilots such as churn.
- Experience training or supporting non-technical users on new tools.
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Jessica, London
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