At a Glance
- Tasks: Prototype AI agents and automations for real users in a fast-paced environment.
- Company: Join a leading global financial technology firm with an innovative culture.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Work independently in a dynamic team with excellent career advancement potential.
- Why this job: Make a real impact by building cutting-edge AI solutions that drive efficiency.
- Qualifications: Experience in AI solutions, rapid prototyping, and strong analytical skills required.
The predicted salary is between 80100 - 97900 £ per year.
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.
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.
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.
TPBN1_UKTJ
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