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Senior Lead AI Solutions Consultant – Forward Deployed
Wells Fargo. Drive the Agentic AI products across the Chief Operating Office, acting as the bridge between product development, operations, and AI engineering.
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Drive the Agentic AI products across the Chief Operating Office, acting as the bridge between product development, operations, and AI engineering.
- Lead end-to-end deployment of agentic AI solutions into live banking operations.
- Embed AI agents directly into operational workflows for automation and decision support.
- Work closely with business and operations teams to move from concept to production.
- Ensure enterprise-grade deployment, scalability, and governance of AI solutions.
- Conduct structured discovery sessions with business and operations stakeholders.
- Analyze process artifacts (SOPs, runbooks, workflows, video recordings, process mining outputs, etc.) to identify AI and automation opportunities.
- Translate operational processes into agentic workflows and solution blueprints.
- Define KPIs and quantify business benefits (cost reduction, cycle time, risk mitigation, productivity gains).
- Build ROI models and value realization frameworks for AI initiatives.
- Design and implement agentic AI solutions using process artifacts as input for workflow automation.
- Develop multi-step AI agents capable of reasoning, tool use, and task execution.
- Leverage MCP (Model Context Protocol) tools to integrate LLMs with enterprise systems, APIs, and data sources.
- Enable tool-augmented LLM workflows including function calling, orchestration, and structured outputs.
- Build reusable agent patterns for banking operations use cases (e.g., case resolution, reconciliation, compliance checks).
Requirements
What you’ll need- 7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Production‑Grade LLM Agent Deployment : Proven experience designing, deploying, and operating LLM‑driven agentic systems in production, with attention to reliability, safety, evaluation, and governance in enterprise environments.
- Deep LLM Platform Expertise : Hands‑on mastery of modern LLMs (GPT‑4/4.1, Claude, Gemini, or equivalents), including model selection, prompt‑to‑model matching, latency/cost optimization, and comparative evaluation.
- LLM Reasoning & Prompt Engineering : Advanced capability in prompt engineering, structured reasoning, chain‑of‑thought management, constrained generation, and output validation for real‑world workflows.
- Agentic LLM Architecture & Orchestration : Strong understanding of LLM‑based agent architectures, including tool calling, function schemas, multi‑agent coordination, planning loops, memory strategies, and guardrails.
- RAG, Context Injection & Knowledge Integration : Practical experience implementing RAG pipelines, embeddings, retrieval strategies, document chunking, re‑ranking, and contextual grounding to reliably augment LLM outputs.
- LLM‑to‑Enterprise Integration : Experience integrating LLM agents with enterprise systems using Python (APIs, databases, SaaS tools, internal services) via MCP or comparable LLM‑integration frameworks.
- Python ‑ Based Agentic Systems Engineering: Advanced Python proficiency for building production ‑ grade agentic systems, including planning loops, state management, async execution, and modular service design.
- Customer‑Facing LLM Solution Ownership : Ability to work directly with customers and senior stakeholders to translate business processes into LLM‑powered agentic solutions, define success metrics, and deliver measurable impact.
Benefits
Comp & perks- robust benefits
- competitive compensation
- programs designed to help you find work-life balance and well-being
ATS Keywords
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Hard Skills & Tools
Artificial Intelligence SolutionsLLM Agent DeploymentLLM Platform ExpertisePrompt EngineeringLLM ArchitectureRAG ImplementationPythonAgentic Systems EngineeringWorkflow AutomationProcess Analysis
Soft Skills
LeadershipCollaborationCommunicationStakeholder EngagementAnalytical ThinkingProblem SolvingCustomer-Facing SkillsProject ManagementDecision SupportValue Realization