AI Engineer

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Charlotte, NC, US

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Wells fFargo is seeking aAIengineering Lead in CIB

• Lead end‑to‑end design and development of AI systems including chatbots, Retrieval Augmented Generation (RAG) platforms, autonomous agents, and workflow automation tools.
• Drive complex, multi-domainAIinitiatives
  , ensuring technical excellence across backend services, front-end experiences, andAImodel integrations.
• Architect scalable and secure,AI solutions leveraging Google, OpenAI, Anthropic, Vertex AI, and Git Hub’s AI ecosystem.
• Oversee enterprise-grade deployment pipelines using Open Shift (OCP), Kubernetes, and robust CI/CD patterns to ensure reliable production delivery.
• Establish engineering best practices across Python, Type Script, and React for modern, AI-enabled applications.
• Guide prompt engineering, skill engineering, and model evaluation approaches including guardrails, observability, red teaming, and hallucination detection.
• Lead and mentor engineering pods
  , providing technical direction, career development, and architectural guidance.
• Ensure systems are fully observable, monitored, and resilient
  , integrating fallback logic and safety controls to mitigate model and system failures.
• Partner closely with UI/UX, platform, cybersecurity, and governance teams to deliver compliant, user‑centric, and secure AI solutions at enterprise scale.
• Collaborate with business stakeholders and product owners to align AI capabilities with strategic outcomes and define delivery roadmaps.
• Ensure compliance with cybersecurity, data privacy, and model risk management standards required in regulated financial‑services environments.
• Resolve complex technical issues
  , escalating and troubleshooting challenges acrossAIpipelines, backend services, front-end apps, and infrastructure.
• Lead Agile delivery processes
  , driving sprint execution, backlog prioritization, risk mitigation, and cross-team coordination.
• Be well versed in emergingAItechnologies
  , staying current with LLM advancements, evaluation techniques, vector search, and responsibleAIpractices.
• Collaborate and influence across all levels
  , including senior managers, platform teams, and cross-functional partners to advance theAIengineering strategy.

• 10+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Type Script and modern
  React frameworks
• Experience building solutions using:
  • OpenAI
    ,
    Anthropic
    ,
    Google (VertexAI),
    Git Hub Copilot / Git Hub ecosystem
• Hands‑on experience deploying applications using:
  • OCP/Open Shift
    , , Kubernetes, CI/CD pipelines
• Proven ability to lead multiple engineering pods and mentor engineers across levels.
• Comfortable executing Agile methodologies across short sprint cycles.
• Strong understanding of:
  • Cybersecurity controls
  • Model risk management
  • Compliance requirements in
    regulated financial-services environments

• Experience building high‑availability banking or financial applications.
• Familiarity with vector databases, embeddings, search systems (e.g., ChromaDB,, Elasticsearch, Redis Vector).
• Understanding of evaluation frameworks for LLM outputs (hallucination detection, guardrails, red‑teaming).
• Exposure to MLOps fundamentals and responsibleAIconcepts.

• Lead end‑to‑end design and implementation ofAIsystems including chatbots, Retrieval‑Augmented…