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Wells Fargo is seeking a Principal Engineer - Predictive AI
Job Responsibility:
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
Requirements:
7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years' hands on programming and/or scripting experience in one or more of the following: Java, Python, Shell scripting etc.
5+ years’ experience with Infrastructure as code (IaC) implementation using Terraform, Cross plane or any other industry equivalent solutions.
5+ years’ experience with OpenShift Container Platform and/or Google Cloud Platform, and/or Microsoft Azure hands on experience.
5+ years’ 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 development.
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 preferred, 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