AI Engineer

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Charlotte, NC, US

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Job Specs –AIEngineering Lead

About this role

Wells fFargo is seeking aAIengineering Lead in CIB

In This role you will

• 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,AIsolutions leveraging Google, OpenAI, Anthropic, Vertex AI, and GitHub’s AI ecosystem.
• Oversee enterprise-grade deployment pipelines using OpenShift (OCP), Kubernetes, and robust CI/CD patterns to ensure reliable production delivery.
• Establish engineering best practices across Python, TypeScript, 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.

Required Qualifications:

• 10+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• TypeScript and modern React frameworks
• Experience building solutions using:
  • OpenAI , Anthropic , Google (VertexAI) , GitHub Copilot / GitHub ecosystem
• Hands‑on experience deploying applications using:
  • OCP/OpenShift , , 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

Desired Qualifications:

• 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.

Job Expectations:

Key Responsibilities

Technical Leadership

• Lead end‑to‑end design and implementation ofAIsystems including chatbots, Retrieval‑AugmentedGeneration (RAG), autonomous agents, and workflow automation tools.
• Architect scalable, secure solutions leveraging industry‑leading AI providers (OpenAI, Anthropic, Google Vertex AI, GitHub Copilot).
• Oversee production deployment pipelines using OCP (OpenShift Container Platform) for containerization, orchestration, and runtime operations.
• Define best practices for Python , TypeScript , and React development within AI‑enabled applications.

Project Delivery & Team Management

• Manage and mentor pod teams (approx. 4 / 6 engineers each), ensuring high‑quality execution and technical rigor.
• Drive delivery roadmaps, project sequencing, and risk mitigation across multiple concurrentAIinitiatives.
• Partner with UI/UX designers to build intuitive, compliant, and enterprise‑ready user experiences.
• Guide prompt engineering, skill engineering, and evaluation frameworks forAImodel tuning and safety.

Operational Excellence

• Ensure allAIdeployments meet enterprise security, data privacy, and regulatory compliance standards required in Corporate & Investment Banking.
• Collaborate with cybersecurity, risk, and governance teams to enforce secure coding, model‑handling, and data‑access patterns.
• Design robust observability, monitoring, and fallback strategies forAI-driven production systems.

Collaboration & Stakeholder Engagement

• Work closely with product owners, business stakeholders, and platform teams to alignAIcapabilities with business outcomes.
• Communicate feasibility, architectural trade-offs, delivery timelines, and technical risks.
• Stay current with industry trends, emerging AI technologies, model evaluation techniques, and AI governance standards.

Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.