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Wells Fargo is seeking a Lead Software Engineer - Predictive AI
Job Responsibility:
Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, teams, or serve as a peer mentor
Requirements:
5+ years of Software 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