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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Technical Program Manager- AI/ML- Payments - **Company:** JPMorgan Chase & Co. - **Location:** London, UK - **Experience:** Expert - **Salary:** £74,351.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Amazon Web Services, Continuous Integration, RAID, Payment Systems, Fraud Prevention and Detection, Data Streaming, Management of Software Versions, Transaction Processing (Computing), Machine Learning Operations, Data Pipelines - **Published:** July 7, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5789989564 ## About the Role * 7+ years experience in technical program management (or engineering + program leadership) delivering complex, cross-functional initiatives from design through production launch. * Strong technical fluency across modern systems: distributed services, data pipelines, integration contracts (schemas, SLAs/SLOs, versioning), and operational readiness (monitoring, incident response). * Experience delivering data/ML-enabled systems (you are not expected to build models, but must understand ML lifecycle concepts such as training data/labels, evaluation, deployment patterns, monitoring/drift, and feedback loops). * Demonstrated ability to lead execution across Applied AI/ML, engineering, data, and control partners in a high-governance environment. * Excellent written/verbal communication and executive-ready program reporting; strong ownership and ability to drive decisions under ambiguity. * Experience working with vendor/partner solutions and/or platform teams, including evaluating options and managing delivery dependencies (as applicable). Preferred qualifications, capabilities, and skills * Payments/fintech domain exposure (transaction processing, fraud/risk, payment optimization, merchant/treasury services). * Experience with multi-tenant platform delivery (serving multiple downstream teams/products with versioning, SLAs, and backward compatibility). * Familiarity with cloud-native delivery, CI/CD, and observability (e.g., AWS; streaming and batch architectures). * Experience working with model governance, risk/compliance, and audit requirements. ## Description Elevate your career by steering multi-faceted tech programs, integrating innovative solutions for a dynamic impact across global operations. As a Principal Technical Program Manager in our Commercial & Investment Bank, Payments Technology Team, you will drive delivery of the Large Payments Model (LPM) - a domain-specific foundation model trained on structured payments data (not language). LPM learns cross-cutting patterns from payments data and enables a single pretrained model to support multiple products, rails, and use cases. This role leads end-to-end execution across Applied AI/ML (model development), engineering (serving and integration), data/feature pipelines, and governance/controls, ensuring LPM is delivered with technical excellence, scalability, and downstream adoption. LPM is optimized for prediction and classification problems central to payments (e.g., fraud detection, risk signaling, payment optimization) - not generative chat. You will translate business, technical, and operational objectives into an integrated program plan, managing resources, timelines, and budgets (as applicable) while navigating ambiguity and driving change., * Own the program plan for LPM delivery: milestones, critical path, dependencies, resourcing, and operating cadence across multiple teams. * Oversee execution across resources, timelines, and budgets (as applicable); manage dependencies and control change in high-pressure, shifting environments. * Drive alignment on LPM's delivery model and integration patterns for downstream consumers: real-time inference services, batch scoring, streaming integrations, and feature/signal delivery, including versioning and contract management. * Coordinate the Science track: training data/label strategy, model objectives, evaluation gates, robustness/segmentation, calibration, explainability inputs (as required), and model release criteria. * Coordinate the Production track: scalable data pipelines, model packaging, CI/CD, serving reliability, observability/monitoring, incident/rollback readiness, and cost/latency performance. * Guide selection and implementation of appropriate platforms, tooling, and integration approaches to support LPM training/evaluation, serving, monitoring, and downstream adoption. * Establish and run program mechanisms: sprint/program planning, cross-team standups, architecture reviews, risk reviews, release readiness, and executive updates. * Manage RAID (risks, assumptions, issues, dependencies) proactively - especially around data readiness, integration timelines, platform constraints, and adoption readiness across products/rails. * Partner with Risk/Compliance/Model Governance and controls to ensure documentation, traceability, approvals, and audit readiness are planned and delivered as part of the program. * ## Related Videos - [Hard Problems Hide in Boring Places: Turning Accounting Workflows into AI Products](https://www.wearedevelopers.com/videos/100226-hard-problems-hide-in-boring-places-turning-accounting-workflows-into-ai-products) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Exploring 5 Key Applications of AI Abundance with Blockchain Assurance](https://www.wearedevelopers.com/videos/971-exploring-5-key-applications-of-ai-abundance-with-blockchain-assurance) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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