Principal Engineer – Risk Decisioning & Agentic AI – BPL at Barclays | London, England, GBR | Rezi

Principal Engineer – Risk Decisioning & Agentic AI – BPL at Barclays

Principal Engineer – Risk Decisioning & Agentic AI – BPL

Barclays · London, England, GBR

3 days ago

Principal Engineer – Risk Decisioning & Agentic AI – BPL

Barclays · London, England, GBR

3 days ago
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About the Role

Drive technical excellence and innovation by leading the design and implementation of robust software solutions. This key role involves translating fraud, credit risk, financial crime, compliance, and regulatory needs into clear technology requirements, providing mentorship to engineering teams, fostering cross-functional collaboration, and contributing to strategic planning to ensure the delivery of high-quality solutions aligned with business objectives.

Responsibilities

  • Provide guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence.
  • Contribute to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps.
  • Design and implement complex, scalable, and maintainable software solutions, considering long-term viability and business objectives.
  • Mentor and coach junior and mid-level engineers to foster professional growth and knowledge sharing.
  • Collaborate with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions.
  • Drive innovation by identifying and incorporating new technologies, methodologies, and industry practices into the engineering process.
  • Contribute or set strategy, drive requirements, and make recommendations for change.
  • Plan resources, budgets, and policies.
  • Manage and maintain policies and processes.
  • Deliver continuous improvements and escalate breaches of policies/procedures.
  • Advise key stakeholders on functional and cross-functional areas of impact and alignment.
  • Manage and mitigate risks through assessment.
  • Demonstrate leadership and accountability for managing risk and strengthening controls.
  • Demonstrate comprehensive understanding of the organization functions to contribute to achieving the goals of the business.
  • Collaborate with other areas of work for business-aligned support.
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives.
  • Adopt and include the outcomes of extensive research in problem-solving processes.
  • Build and maintain trusting relationships and partnerships with internal and external stakeholders using influencing and negotiating skills.

Requirements

  • Deep expertise in designing and building enterprise-grade AI agents, multi-agent systems, LLM-powered orchestration, real-time decisioning engines, human-in-the-loop workflows, and autonomous risk services.
  • Proven experience building highly scalable, resilient, cloud-native platforms leveraging event-driven architectures, microservices, streaming technologies, APIs, and real-time processing at enterprise scale.
  • Hands-on expertise developing mission-critical risk platforms supporting credit risk, fraud detection, underwriting, KYC/KYB, AML, Financial Crime, customer onboarding, and real-time decision management.
  • Experience operationalizing AI/ML solutions including model lifecycle management, feature engineering, vector databases, RAG architectures, AI governance and production-scale MLOps.
  • Experience building modern data platforms incorporating data mesh/Lakehouse architectures, real-time analytics, graph technologies, observability and large-scale data processing.
  • Knowledge of payments, acquiring, merchant services, consumer lending, regulatory compliance, model risk management and responsible AI within highly regulated environments.
  • Risk and controls, change and transformation, business acumen, strategic thinking and digital and technology expertise.
  • Job-specific technical skills.

Skills

  • AI agents
  • Multi-agent systems
  • LLM-powered orchestration
  • Real-time decisioning engines
  • Human-in-the-loop workflows
  • Autonomous risk services
  • Event-driven architectures
  • Microservices
  • Streaming technologies
  • APIs
  • Real-time processing
  • Credit risk
  • Fraud detection
  • Underwriting
  • KYC/KYB
  • AML
  • Financial Crime
  • Customer onboarding
  • Real-time decision management
  • Model lifecycle management
  • Feature engineering
  • Vector databases
  • RAG architectures
  • AI governance
  • Production-scale MLOps
  • Data mesh
  • Lakehouse architectures
  • Real-time analytics
  • Graph technologies
  • Observability
  • Large-scale data processing
  • Payments
  • Acquiring
  • Merchant services
  • Consumer lending
  • Regulatory compliance
  • Model risk management
  • Responsible AI
  • Risk and controls
  • Change and transformation
  • Business acumen
  • Strategic thinking
  • Digital and technology

Location

  • London

Work Type

  • Hybrid

Experience Level

  • Principal Engineer
  • Senior

About the Company

  • Barclays’ payments acceptance business provides critical infrastructure to the UK economy, processing billions of pounds of payments annually for both small businesses and domestic and international corporate clients.
  • In April 2025, we announced a long-term partnership with Brookfield Asset Management to grow and transform the payments acceptance business by broadening the range of services offered, enhancing the experience for both existing and prospective clients.
  • Leveraging extensive client relationships and deep experience of UK payments, we will create an environment of continuous innovation - activated by Brookfield’s global private equity expertise in payments, technology, operational transformation and corporate carve-outs - to ensure the business is strategically positioned for long-term growth.
  • Barclays will invest approximately £400m in the new business, the majority of which will be incurred during the first three years.
  • Performance-linked incentives will drive greater alignment between the partners, underpinning the long-term commitment to the transformation.
  • Barclays and Brookfield will work to create a standalone entity over time, continuing to use the Barclaycard Payments (BPL) brand and acting as the sole payments acceptance services provider to Barclays’ clients for a minimum of ten years.

Equal Opportunity

  • All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right.
  • They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.