Principal Engineer - Machine Learning & Inference Engineering

About This RoleWells Fargo is seeking a Principal Engineer in the Digital Technology and Innovation group which supports evolving digital platforms and enhances integration of the innovation pipeline into our customer-facing capabilities. The Principal Engineer for Tachyon AI Engineering will lead the design, development, and operationalization of enterprise-scale AI/ML solutions across hybrid environments. This role requires deep technical expertise, strategic vision, and leadership to accelerate predictive and generative AI adoption.The ideal candidate will have experience with AI Compute Environment, Data Engineering, Generative AI, RAG pipelines, and agentic AI systems, and will drive innovation and modernization initiatives, including model migration from on-prem platforms to cloud-native environmentsIn This Role, You WillAct 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 groupsLead 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 thinkingTranslate 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 solutionsProvide vision, direction and expertise to leadership on implementing innovative and significant business solutionsMaintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organizationStrategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadershipKey ResponsibilitiesPlatform LeadershipDrive the evolution of the Tachyon Predictive AI Platform on GCP Vertex AI, Azure ML, and On-Prem AIML PlatformArchitect scalable, secure, and compliant AI/ML infrastructure across hybrid environmentsModel Lifecycle ManagementOversee end-to-end ML lifecycle: feature engineering, model development, validation, deployment, and monitoringImplement proactive, event-driven model monitoring and drift detectionMigration & ModernizationLead model migration initiatives from legacy and on-prem systems to cloud-native platformsEnsure smooth transitions with minimal downtime and compliance adherenceInnovation & AutomationDrive initiatives for Generative AI and agentic AI integration into workflowsAutomate governance processes and optimize operational SLAsCross-Functional CollaborationPartner with data scientists, MLOps engineers, and application teams to deliver AI solutionsAct as a trusted advisor to senior leadership on AI strategy and technical decisionsMentorship & Thought LeadershipProvide technical guidance and mentorship to engineering teams.Represent the organization in AI forums and contribute to enterprise AI strategy.Required Qualifications:7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education5+ years of hands-on programming and/or scripting experience in one or more of the following: Python, Java, Shell scripting etc.5+ years of experience with Infrastructure as code (IaC) implementation using Terraform, Crossplane or any other industry equivalent solutions5+ years of experience with OpenShift Container Platform and/or Google Cloud Platform, and/or Microsoft Azure hands on experience5+ years of experience with enterprise-grade automation solutions design and implementation experience using tools such as Ansible, Harness CD, GitHub Actions, Playwright etc.2+ years of experience with AI, Gen AI, Agentic automation solutions design and developmentDesired Qualifications:Excellent communication and stakeholder management skills.Demonstrated ability to lead complex projects with limited supervision and high accountabilityExperience with Generative AI, RAG pipelines, and agentic AI systems.Exposure to Google Cloud Platform: Vertex AI / Gemini Enterprise Agent Platform, Agentspace, MCP, A2A exposureCloud certification; AWS, GCP, Azure or Generative AI LeaderDeep understanding of LLMs, prompt engineering, vector databases, and orchestration toolsExpertise in cloud AI platforms (GCP Vertex AI, Azure ML), On-Prem AIML systems, and MLOps frameworksStrong programming skills (Python, SQL/NoSQL) and experience with ML frameworks (TensorFlow, PyTorch)Proven track record in enterprise-scale AI deployments, model migration projects, and innovation initiatives2+ years of experience building full stack Agentic AI Automations (from chat experiences to muti-agent systems) using Agentic AI Frameworks like LangGraph, Crew AI, Microsoft AutoGen, LangChain, ChainlitJob Expectations:This position is not eligible for Visa sponsorshipAbility to work on-site at approved locationRelocation assistance is not available for this positionLocations: 1755 Grant St., Concord, CA333 Market St., San Francisco, CA300 S. Brevard St., Charlotte, NCPay RangeReflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.$159,000.00 - $305,000.00BenefitsWells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.Health benefits401(k) PlanPaid time offDisability benefitsLife insurance, critical illness insurance, and accident insuranceParental leaveCritical caregiving leaveDiscounts and savingsCommuter benefitsTuition reimbursementScholarships for dependent childrenAdoption reimbursementPosting End Date:12 May 2026 Job posting may come down early due to volume of applicants. We Value Equal OpportunityWells 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.Applicants With DisabilitiesTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .Drug and Alcohol PolicyWells 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.Reference NumberR-538894-1