Mistral AISingapore4h ago
Wells FargoPosted 3w ago
Principal Engineer at Wells Fargo scores 84 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
About this role:
Wells Fargo is seeking a Principal Engineer
In this role, you will:
- Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
- Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
- Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
- Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
- Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
- Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Required Qualifications:
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Extensive experience in software engineering and distributed systems architecture
- Strong programming expertise in Python (mandatory)
- Proven track record in building GenAI / LLM-based applications
- Experience with agent orchestration frameworks and autonomous systems design
- Deep understanding of:
- Context engineering
- Prompt design and optimization
- Memory management architectures
- Hands-on experience with:
- LLM APIs and ecosystems
- Vector databases and retrieval systems
- Experience integrating AI development tools such as:
- GitHub Copilot
- Claude Code
- Devin / similar autonomous coding agents
Desired Qualifications:
- Experience with Google ADK or similar agent development kits
- Expertise in multi-agent system design and coordination
- Familiarity with enterprise AI platform design (RAG, orchestration layers, evaluation frameworks)
- Experience in banking/financial services domain (preferred)
- Strong understanding of MLOps / LLMOps practices
- Exposure to secure and compliant AI systems (PII, risk, governance)
Job Expectations:
- Lead end-to-end ownership of GenAI platform components and solutions
- Drive innovation and adoption of agentic AI across business lines
- Deliver measurable business impact (productivity gains, automation, customer experience improvements)
- Act as a thought leader in GenAI within the organization
- Collaborate with global teams across time zones
- Influence strategic direction of AI initiatives at enterprise level
Posting End Date:
30 Nov 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 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:
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.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- What's a project where you used Claude hands-on?
- Walk me through how you've used Copilot in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, Rag, Ml Ops, Claude, and Copilot. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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