Jobs at Bread Financial

Develop and extend agentic LLM-based systems and internal AI tools, design and build APIs and full‑stack features, write and run unit and automation tests, triage production incidents, enforce code standards, and mentor junior engineers to deliver scalable, well-tested financial technology solutions.

Lead AI Risk Advisor leads AI governance and risk initiatives, conducting cross-functional risk reviews, designing KRIs and monitoring (drift, bias, HITL), partnering with Technology/Cybersecurity/Data Governance/Model Risk, authoring executive summaries, mentoring junior staff, and driving control automation and regulatory/audit readiness.

Lead design and delivery of analytical and automation solutions across multiple domains. Own end-to-end implementations from requirements through deployment, apply AI/ML and RPA techniques (including LLM/GenAI), optimize performance, resolve issues, influence stakeholders, drive adoption, and mentor junior team members to deliver measurable business value.

Lead definition and delivery of enterprise analytical and automation solutions across complex, cross-domain use cases. Shape solution strategy, design scalable architectures, solve ambiguous technical and business problems, drive GenAI/ML/RPA adoption, influence senior stakeholders, and mentor teams to advance automation and analytics capabilities for long-term value.

Lead and grow an SRE team to ensure reliability, scalability, security, and performance of cloud-native systems. Drive SRE best practices across AWS and Azure, implement monitoring, logging, AIOps-driven alerting and predictive analytics, integrate AI/ML for automation, and ensure regulatory compliance (PCI-DSS, SOX, FFIEC). Collaborate with engineering, data, AI/ML, and security teams and mentor staff.

Design and deliver production agent runtimes and multi-agent frameworks (policy execution, planners, state/memory, tool-routing). Implement reasoning loops (ReAct, CoT, ToT), safety controls, deterministic tool‑chaining, observability/evaluation pipelines, and scale platforms on Kubernetes. Mentor engineers, define SLOs and telemetry, integrate RAG/graph memory, and collaborate with product, data, and backend teams while ensuring compliance and PII‑minimization.

Design, implement, and improve AI governance frameworks and controls across the model lifecycle. Identify and monitor AI risks (bias, privacy, model risk), align controls with enterprise risk and regulatory frameworks, enable governance tooling and reporting, and partner with technology, cyber, data, and risk teams to ensure responsible AI deployment and executive-level visibility.

Lead valuation and governance of Operational Excellence initiatives: quantify benefits, track progress on executive scorecards, develop executive presentations, manage lifecycle governance, support planning and budgeting, and drive cross-functional adoption of value-realization frameworks.

Executive leader defining and executing enterprise platform engineering strategy across cloud, platform services, DevSecOps, SRE, IaC, automation, and developer enablement. Oversees multiple platform organizations, governance, cloud transformation, reliability, security-by-design, FinOps, vendor and investment planning, and builds high-performing leadership teams to improve scalability, efficiency, and engineering productivity.

The Director of Fraud Strategy leads analysis of fraud trends, develops mitigation strategies, and manages a team of analysts to optimize fraud controls and minimize losses. The role includes performance measurement and development of creative fraud-risk solutions to support business growth.

Lead technical product backlog and agile delivery across multiple teams. Define tactical vision, break down initiatives into epics/features, prioritize work, manage stakeholders, drive BAU support and process improvements, and mentor other product owners.

The Senior Staff Enterprise Architect will define the architectural vision for enterprise AI solutions and align IT strategies with business objectives while ensuring adherence to best practices.