Principal Engineer - AI Engineering

About This Role

Lead the design, development, and operationalization of enterprise-scale AI/ML solutions in hybrid environments for Wells Fargo's Digital Technology and Innovation group. Drive innovation, modernization, and model migration initiatives from on-prem to cloud-native platforms, while providing technical leadership and mentorship to engineering teams.

Responsibilities

• 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
• Translate advanced technology experience into technical engineering solutions, considering business objectives and organizational structure
• Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
• Maintain knowledge of industry best practices and new technologies, recommending innovations that enhance operations or provide a competitive advantage
• Drive the evolution of the Tachyon Predictive AI Platform on GCP Vertex AI, Azure ML, and On-Prem AIML Platform
• Architect scalable, secure, and compliant AI/ML infrastructure across hybrid environments
• Oversee end-to-end ML lifecycle: feature engineering, model development, validation, deployment, and monitoring
• Lead model migration initiatives from legacy and on-prem systems to cloud-native platforms
• Drive initiatives for Generative AI and agentic AI integration into workflows

Requirements

• 7+ years of Engineering experience
• 5+ years' hands on programming and/or scripting experience in Java, Python, or Shell scripting
• 5+ years' experience with Infrastructure as code (IaC) using Terraform or Crossplane
• 5+ years' experience with OpenShift Container Platform and/or Google Cloud Platform, and/or Microsoft Azure
• 5+ years' experience with enterprise grade automation solutions design and implementation using tools such as Ansible, Harness CD, GitHub Actions, Playwright
• 2+ years of experience with AI, Gen AI, Agentic automation solutions design and development

Qualifications

• 7+ years of Engineering experience

Nice to Have

• Excellent communication and stakeholder management skills
• Demonstrated ability to lead complex projects with limited supervision and high accountability
• Experience with Generative AI, RAG pipelines, and agentic AI systems
• Exposure to Google Cloud Platform: Vertex AI, Agentspace, MCP, A2A exposure
• Cloud certifications (AWS, GCP, Azure or Generative AI Leader)
• Deep understanding of LLMs, prompt engineering, vector databases, and orchestration tools
• Expertise in cloud AI platforms (GCP Vertex AI, Azure ML), On-Prem AIML systems, and MLOps frameworks
• Strong 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 initiatives
• 2+ 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, Chainlit

Skills

* Required skills

Benefits