At a Glance
- Tasks: Lead AI engineering strategy and design innovative, secure AI systems.
- Company: Join Wells Fargo, a leader in corporate and investment banking.
- Benefits: Enjoy a hybrid work schedule and competitive compensation.
- Other info: Mentorship opportunities and a focus on responsible AI practices.
- Why this job: Shape the future of AI technology and make a real impact.
- Qualifications: Expertise in AI development with Python, TypeScript, and React required.
The predicted salary is between 63000 - 77000 £ per year.
About this role
Wells Fargo is seeking a Principal Engineer in Corporate and Investment Banking to serve as a senior technical authority for AI solutions. This role defines architecture, design, engineering standards, and delivery patterns for secure, resilient, and governed agentic AI systems.
In this role you will:
- Serve as a senior technical authority for AI engineering strategy, architecture, and implementation across complex, multi-domain initiatives.
- Design, build and 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 patterns for Agentic solutions using industry standard frameworks.
- Provide hands-on technical leadership across MCP, Python, TypeScript, React, APIs, OpenShift, Kubernetes, and CI/CD engineering practices.
- Build AI solutions including Agents, chatbots, RAG & Knowledge platforms, 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
- Lead proof-of-concepts, design reviews, code reviews, and technical deep dives for high-impact AI initiatives.
- Establish best practices for AI applications in coding, API design, testing, deployment automation, runtime monitoring, and operational readiness.
- Improve developer productivity through reusable libraries, templates, reference 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 equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
- Expert-level hands-on engineering experience with AI development in Python, TypeScript, React, APIs, distributed high-performance systems, and application delivery.
- Deep experience designing and delivering AI-enabled applications using agentic workflows, LLMs, 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 architectures or 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 to build and communicate complex systems design decisions, 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.
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 unit’s 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, visit Disability 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:
- Third-Party recordings are prohibited unless authorized by Wells Fargo.
- Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Principal Engineer, AI Engineering in London employer: WELLS FARGO BANK
Wells Fargo is an exceptional employer that prioritises employee growth and development, offering a dynamic work culture that fosters collaboration and innovation across the EMEA, APAC, and Canada regions. With a strong commitment to operational resilience and a focus on building robust customer relationships, employees are empowered to make impactful decisions while enjoying comprehensive benefits and support for work-life balance. The company's dedication to diversity and inclusion ensures a welcoming environment where all voices are valued, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Engineer, AI Engineering in London
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We think you need these skills to ace Principal Engineer, AI Engineering in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at WELLS FARGO BANK.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at WELLS FARGO BANK and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at WELLS FARGO BANK
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If WELLS FARGO BANK uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
