Principal AI Engineer

About this role:

Wells Fargo is seeking a Principal AI 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

Desired Qualifications:

• This is an individual contributor role (Principal AI Engineer) which is at the level of Executive Director
• Own the end-to-end AI/ML lifecycle—design, build, deploy, and maintain scalable agent solutions for Technology Analytics.
• Embed Generative AI and Agentic AI into day-to-day business processes to lift efficiency and employee productivity.
• Execute and refine the AI roadmap, keeping every project tightly aligned with enterprise strategy and measurable KPIs.
• Design autonomous AI agents capable of real-time decision-making and action with minimal human oversight.
• Enforce best-in-class practices for model scalability, reliability, security, and ongoing maintenance.
• Lead R&D on emerging AI tech, scouting fresh use cases to keep Wells Fargo at the innovation forefront.
• Drive cross-division rollout of AI solutions, track impact, and deliver tangible cost- and time-savings.
• Serve as an AI thought leader—mentor teams, champion best practices, and translate complex concepts for senior stakeholders.
• 7 years of Analytics, AI or Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

• 3+ years of experience in Generative AI tech like Retrieval-Augmented Generation (RAG) – design end-to-end pipelines (Vector DBs, chunking, embedding, retrieval, context injection) to ground LLM responses on enterprise knowledge.
• Strong software development skills, particularly in Python, with experience working with AI frameworks  (any one of Langchain, Langgraph, CrewAI, Autogen, Google ADK) and tools in cloud environments; Knowledge of ML, NLP, Information Retrieval, Recommender Systems and LLMs. Must have deployed role-based agent (Multi Agent Orchestration) teams with one of the listed frameworks
• Experience with container & orchestration technologies (Docker, Kubernetes etc) and cloud platforms (AWS, GCP or Azure); Experience with training, fine-tuning, and applying large language models (LLMs) for agentic AI application
• Deployment & MLOps -containerize inference endpoints with Docker/K8s, scale on AWS/GCP GPU instances, and automate CI/CD, canary releases, and rollback strategies.
• 5+ years of experience with NLP Tech/ NLP pipelines (NLTK, spaCy, Hugging Face, BERT/GPT)
• 5+ years of hands-on experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse), including solution architecture, governance, and deployment.
• Working knowledge of enterprise tools like MS Copilot Studio and AgentSpace for Agentic AI, with a strong understanding of prompt engineering, grounding, and extensibility.
• Familiarity with Data Connectors and API gateways that support seamless communication between systems.
• General Analytics – Data Visualization using Tableau, PowerBI. Strong knowledge of SQL (Structured Databases)

• Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, Azure AI Foundry, Google Agent Space, Google Gemini, Microsoft 365, and M365 Copilot.
• Traditional Data Science - classical ML and statistical modeling—linear/logistic regression, time-series ARIMA/Prophet, decision trees, random forests, gradient-boosting (XGBoost/LightGBM), SVMs, k-means and hierarchical clustering, association-rule mining (Apriori), and A/B testing with hypothesis-testing frameworks
• Ability to orchestrate processes across integrated systems to enable robust workflows and seamless operations.
• Ability to collaborate with cross-functional teams to align technical solutions with business goals and end-user needs.
• A strong focus on cybersecurity and risk management throughout the software development lifecycle.
• Passion for designing solutions that prioritize end-user experience and usability.
• Strong problem-solving skills and attention to detail in complex system design.
• Proficiency in designing and developing multi-agent systems where multiple AI agents collaborate to achieve complex tasks

Posting End Date: 

*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.