JTC on cord

JTC

Director - AI Engineering

External position
London, UK
Hiring internally for JTC?
Finance
A Global Business, Owned by Its People.
Posted
a month ago
Checked
cord regularly checks that external positions are still open
15 hours ago

Skills & Experience

Job roles: AI Engineer
Experience level: Leadership
Core skills considered: Artificial Intelligence, Machine Learning, Deep Learning, Data Pipelines
Other skills considered: Cloud Computing, APIs, Scrum

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

As JTC enters the Genesis era of growth and transformation under private equity ownership, the Group's ambition is to become a data- and AI-powered specialist-services platform where every interaction, acquisition and piece of expertise makes the firm smarter, more efficient and easier to scale. The Director, AI Engineering leads the AI Engineering & Data Science function within the unified Tech-Ops operating model, the engineering engine room that turns JTC's AI & Agentic Strategy 2030 into working, governed and value-generating systems.

The postholder will build and lead the team responsible for AI/ML model development and agentic engineering across the three pillars of the AI strategy; AI for Service Delivery, AI for Digital Products and AI for Productivity. This spans the JTC Agentic Platform (MCP-enabled orchestration and validation across JTC systems and market tools), the enterprise document extraction platform, end-to-end billing agents (Agentic Thames and the Agentic Wheel), conversational AI analytics on the Klondike data platform, function-specific JTC Agents and the Group-wide Agent Builder; all delivered on a consolidated, Claude-based AI stack that preserves in-house control and avoids vendor lock-in.

This is a hands-on engineering leadership role. Acting as the Group's hub for AI in the Businesses and Group functions, the postholder pairs deep technical credibility with commercial judgement: every model and agent shipped must deliver measurable operational ROI against the Technology Value Creation Plan, operate within the AI Governance & Model Risk framework, and stay cost-disciplined through FinOps controls. The ideal candidate combines frontier LLM and agentic engineering expertise with the leadership skills to build and scale a high-performing team in a PE-backed environment.

Responsibilities

  • Lead the design, development and production deployment of AI/ML models and agentic systems across the Group, delivering the prioritised use cases on JTC's two-year roadmap (55 use cases selected on value, feasibility and strategic fit) to enterprise quality.
  • Build and scale the near-term delivery priorities: Agentic Thames (the end-to-end billing agent combining contract-reading, scoping, billing and timesheet quality-assurance AI skills), the Agentic Wheel billing transformation, AI-enabled tax workflow redesign, the standardised AI assistant, and AI-enabled analytics on the Klondike financial reporting platform.
  • Engineer Digital Integrated Agents for JTC's client-facing digital products, enabling non-linear user journeys, content and dynamic UI generation, conversational AI-enabled analytics and reporting, and persona-aware hyper-personalisation services.
  • Deliver the enterprise document extraction platform and agent supporting workflows across service delivery, driving timeliness, accuracy and efficiency in middle- and back-office operations.
  • Ship function-specific JTC Agents (e.g. Billing, Data Quality Control), individual AI productivity assistants with secure access to JTC data and systems and institutionalise the multi-platform Agent Builder for craft-your-own agents.
  • Own the engineering of the JTC Agentic Platform, MCP-enabled orchestration and validation across JTC systems and market tools, maintaining in-house control of the agentic layer to avoid LLM lock-in.
  • Build around the consolidated Claude stack (Claude, Cowork, Claude Code and the developer platform), migrating existing agentic workloads onto it and prioritising app-agnostic agents on the JTC Agentic Layer over vendor-embedded AI.
  • Partner with Data Engineering & Provisioning to ensure AI-ready data, reusable, governed structured and unstructured data pipelines feeding models, agents and analytics across the Group.
  • Define and enforce AI engineering standards, deployment patterns, integration patterns, testing and evaluation frameworks, and contribute AI/data positions to the Architecture Forum's buy-vs-build and standards decisions.
  • Evaluate third-party embedded AI and SaaS agents (e.g. Safebooks.ai, Rossum) for benefit and cross-application scalability, integrating those that earn their place on the platform.
  • Co-own use-case prioritisation with the AI Product Management function, impact and feasibility assessment, quarterly roadmap refresh, dependency and sequencing management, and capacity and investment planning across the AI portfolio.
  • Embed measurable operational ROI in every AI deployment and support the VCP PMO's monthly delivery and value reviews, portfolio reporting and benefit realisation tracking for the Enterprise AI & Knowledge and related initiative clusters.
  • Work with AI Product Managers who sit with users to convert real business requirements into engineered agents, iterating rapidly from pilot to production based on user feedback and delivered value.
  • Translate engineering progress into business and financial narratives for the Executive Committee, Steerco and PE sponsor reporting cadences.
  • Co-develop and operate within the AI Governance & Model Risk framework, model risk and assurance, responsible-AI policy, audit trail and human-in-the-loop controls, and support the AI Governance Forum's oversight of fairness, explainability and control of AI use cases.
  • Embed security, resilience and regulatory control by design in every AI system, working with Cyber & Infrastructure to scale controls for data and AI initiatives rather than bolting them on late.
  • Apply FinOps discipline to AI at scale, AI/token and cloud cost management, usage monitoring and unit-economics control to stay ahead of run-cost.
  • Ensure AI systems are auditable and evidenced for regulators, clients and internal risk functions across JTC's regulated, multi-jurisdiction environment.
  • Build, lead and develop the AI Engineering & Data Science team, hiring targeted internal capability in AI Engineering and AI Modelling, with phased headcount growth aligned to investment and business case.
  • Act as the Group's hub for AI in the Businesses and Group functions, upskilling Tech-Ops in AI and agentic workflow delivery and championing adoption of coding assistants (Claude Code) across engineering.
  • Represent JTC AI engineering in external forums, vendor engagements and PE portfolio technology networks.
  • Continuously horizon-scan the frontier of model and agent development, translating advances into practical opportunity for JTC's AI roadmap.

Requirements

  • Candidates should bring demonstrable progressive experience across AI/ML engineering, data science and enterprise software delivery; including leading engineering teams, ideally in Financial Services, Professional Services or PE-backed environments.
  • Demonstrable track record shipping production-grade AI/ML and LLM-based systems at enterprise scale from prototype through governed production deployment and ongoing operation.
  • Deep hands-on expertise in LLMs and agentic systems: prompt and context engineering, retrieval-augmented generation, tool/MCP orchestration, multi-agent workflows and evaluation frameworks. Experience with the Anthropic stack (Claude, Claude Code, agent SDKs) is strongly advantageous.
  • Strong software engineering foundations; APIs, cloud platforms, CI/CD, data pipelines and experience integrating AI into core enterprise systems and business workflows.
  • Proven experience building document intelligence/extraction, workflow automation or conversational analytics solutions in control-heavy, regulated environments where specialists retain oversight and judgement.
  • Working knowledge of AI governance and model risk: responsible-AI policy, explainability, human-in-the-loop controls, audit trails and model assurance.
  • FinOps awareness; token and cloud cost management, usage monitoring and the unit economics of running AI at scale.
  • Experience partnering with product management to prioritise use cases by value and feasibility, and to measure and report realised benefit against investment cases.
  • Proven leadership of engineering or data science teams; hiring, developing and retaining talent in a scaling environment with the
Director - AI Engineering at JTC
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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