Rothstein Recruitment
Staff AI Engineer - Platform & Agent Systems - FinTech

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Staff AI Engineer - Platform & Agent Systems - FinTech
Excellent opportunity opens for a Staff AI Engineer to join a growing FinTech and take ownership of the architecture, governance, and operational framework behind advanced AI and agent-based systems. This is a unique opportunity to influence the technical direction of a greenfield platform where AI is being embedded as a foundational capability rather than an add-on feature. This role sits at the intersection of AI engineering, distributed systems, platform architecture, and governance.
You'll play a leading role in defining how intelligent agents are created, managed, monitored, and safely deployed within a complex enterprise environment. Working alongside senior product and engineering stakeholders, you will help establish the technical standards, tooling, and operational frameworks that enable AI capabilities to scale securely and reliably.
Main Responsibilities
- Designing the platform architecture that supports intelligent agent deployment and lifecycle management
- Establishing frameworks for agent permissions, controls, execution boundaries, and decision-making autonomy
- Building observability and evaluation mechanisms to measure performance, reliability, accuracy, and operational cost
- Driving technical decisions around AI infrastructure, orchestration, and platform capabilities
- Collaborating closely with software engineers, architects, and product teams on platform-wide design initiatives
- Implementing safeguards and governance measures suitable for regulated environments
- Ensuring AI systems remain scalable, resilient, secure, and production ready
- Contributing to the longer-term AI strategy and technical roadmap
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Requirements
- 8+ years of software engineering, machine learning, or AI-focused experience
- Experience within FinTech, Banking, Payments or other highly regulated sectors
- Exposure to agent orchestration frameworks, evaluation platforms, and model monitoring solutions
- Experience building internal AI platforms or enterprise AI infrastructure
- Proven experience delivering AI-powered products into production environments
- Strong background designing autonomous or semi-autonomous agent systems
- Experience creating governance frameworks, approval workflows, operational controls, and oversight mechanisms
- Deep knowledge of LLM ecosystems, orchestration frameworks, and AI tooling
- Strong software engineering skills, ideally with Python and cloud-native architectures
- Experience working with distributed platforms, APIs, microservices, and event-driven systems
- Understanding of security, compliance, and risk considerations within complex enterprise environments
- Familiarity with cloud environments such as AWS, Azure, or Google Cloud
- Ability to influence technical direction and work effectively across senior stakeholder groups


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AI Engineer, Platform, Agent Systems, FinTech, LLM ecosystems, AI Platforms, Enterprise AI Infrastructure, Agent Orchestration Frameworks, Python
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