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Principal Engineer, AI Engineering

Wells Fargo Bank


Job Location:

London - UK

Monthly Salary: Not provided by the employer
Posted: 7 September 2026 (Yesterday)
Application Deadline: 5 December 2026
Vacancies: 1 Vacancy

Job Summary

About this role
Wells Fargo is seeking a Principal Engineer in CorporateandInvestment Banking to serve as a senior technical authority for AIsolutions. This roledefinesarchitecturedesignengineering standards and delivery patterns for secure resilient andgovernedagentic AIsystems.

In this role you will

  • Serve as a senior technical authority for AI engineering strategy architecture and implementation across complex multi-domain initiatives.

  • Design buildand guide enterprise-grade AI systems including RAG platforms agentic workflows chat experiences orchestration layers evaluation pipelines and reusable AI services.

  • Establish scalable secure and compliant architecture patternsfor Agentic solutionsusingindustry standard frameworks.

  • Provide hands-on technical leadership acrossMCPPython TypeScript React APIs OpenShift Kubernetes and CI/CD engineering practices.

  • Build AI solutions including Agents chatbots RAG &Knowledgeplatforms Skill based agents workflow automation and AI-enabled developer experiences

  • Define engineering standards for prompt engineering skill engineering model evaluation observability guardrails red teaming hallucination detection and responsible AI adoption.

  • Partner with engineering leads product owners cybersecurity governance risk platform and UI/UX teams to align technical direction with strategic business outcomes.

  • Mentor senior engineers and technical leads raising engineering quality through architecture reviews code reviews reusable patterns technical coaching and design governance.

  • Resolve the most complex technical challenges across AI pipelines model integrations infrastructure application resiliency security controls and production operations.

Key Responsibilities

Architecture & Technical Strategy

  • Define target-state architecture reusable design patterns and technical standards for AI systems.

  • Guide architecture decisions across model integration retrieval design orchestration workflow automation security observability and application experience layers.

  • Evaluate emerging AI technologies and translate them into practical governed production-ready engineering patterns.

Engineering Excellence

  • Leadproof-of-conceptsdesign reviews code reviews and technical deep dives for high-impact AI initiatives.

  • Establish best practices forAI applicationsincoding API design testing deployment automation runtime monitoring and operational readiness.

  • Improve developer productivity through reusable libraries templates refer

  • ence implementations and engineering enablement.

Governance Risk & Responsible AI

  • Ensure AI systems are designed with appropriate controls for security data protection access management auditability and model risk.

  • Define and promote responsible AI practices including evaluation explainability considerations fallback behavior guardrails and human-in-the-loop review where appropriate.

  • Partner with cybersecurity governance compliance and platform teams to ensure solutions meet enterprise and regulatory expectations.

Influence & Technical Leadership

  • Influence cross-team technical decisions and align stakeholders around scalable secure and maintainable AI engineering approaches.

  • Mentor senior engineers and engineering leads through technical coaching architecture guidance and hands-on problem solving.

  • Communicate technical trade-offs risks delivery considerations and architectural direction to senior leaders and cross-functional partners.

Required Qualifications:

  • Experience of Technology Strategic Leadership experience or equivalentdemonstratedthrough one or a combination of the following: work experience training military experience education

  • Expert-level hands-on engineering experience withAIdevelopment inPython TypeScript React APIs distributedhigh-performancesystems and application delivery.

  • Deep experience designing and delivering AI-enabled applications usingagentic workflowsLLMs RAG model orchestration embeddings vector search and model evaluation techniques.

  • Experience with OpenAI Anthropic Google Vertex AI GitHub Copilot or related AI developer ecosystems.

  • Proven ability to influence technical strategy across teams without relying solely on direct reporting authority.

  • Strong understanding of cybersecurity controls data privacy model risk management governance and compliance expectations in regulated financial-services environments.

  • In-depth knowledge of industry trends and thought leadership in the development of AI solutions.

Desired Qualifications:

  • Experience establishing AI platform capabilities reference architecturesor internal developer frameworks.

  • Experience with vector databases embeddings hybrid search Elasticsearch Redis ChromaDB or similar retrieval technologies.

  • Experience building high-availability banking capital markets or other regulated financial applications.

  • Ability tobuild andcommunicate complexsystems designdecisions trade-offs risks and delivery implications to senior technical stakeholders.

Job Expectations:

  • This position offers a hybrid work schedule

  • Relocation assistance is not available

  • Visa sponsorship is not available

Posting End Date:

26 Sep 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit Market Financial Crimes Operational Regulatory Compliance) which includes effectively following and adhering to applicable Wells Fargo policies and procedures appropriately fulfilling risk and compliance obligations timely and effective escalation and remediation of issues and making sound risk decisions. There is emphasis on proactive monitoring governance risk identification and escalation as well as making sound risk decisions commensurate with the business units risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates including women persons with disabilities aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


Required Experience:

Staff IC


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