Front Office GenAI Agentic Engineer - Vice President - Markets
Explicitly references vibe coding and related tools (Cursor, Google agent space); familiarity with vibe coding is called out as a plus.
About the Role
Wells Fargo Markets is hiring a Vice President-level GenAI Agentic Engineer to design, build, and deploy production-grade agentic solutions that automate complex front-office Sales & Trading workflows. The role partners with product, data science, and business teams to deliver secure, scalable agent systems, emphasizing LLM integration, prompt engineering, state management, and regulatory compliance.
Job Description
Role
Wells Fargo Markets is seeking a Vice President — Front Office GenAI Agentic Engineer to join a new engineering team focused on designing, building, and deploying agentic GenAI solutions for Sales & Trading workflows. The position is responsible for embedding advanced agents into production systems while ensuring scalability, security, and regulatory compliance.
Key Responsibilities
- Architect and deploy agents that autonomously execute complex, multi-step business workflows aligned with business and regulatory requirements.
- Build and integrate APIs and tools to enable secure agent access to internal and external resources.
- Develop advanced prompts and system instructions to shape agent behavior and reasoning.
- Implement state and memory management to track agent progress and maintain context across workflows.
- Create evaluation and debugging frameworks to assess agent reasoning and ensure system reliability.
- Collaborate with product managers, data science, and business stakeholders to identify automation opportunities and translate requirements into technical solutions.
- Produce high-quality software, documentation, and model validation artifacts, following Agile SDLC and compliance standards.
Requirements (Required / Desired)
- Required: 5+ years of software engineering experience (or equivalent).
- Desired: 5+ years expert-level Python experience and strong core software engineering principles.
- Hands-on experience with major GenAI platforms (e.g., Google Vertex AI, Microsoft Copilot Studio, Amazon Bedrock) or open-source frameworks (e.g., LangChain, LlamaIndex, AutoGen).
- Deep knowledge of LLM and API integration, including RESTful API design.
- Experience designing complex, event-driven applications and building/deploying agentic systems in production.
- Experience with container-based deployment (Docker, OpenShift) and CI/CD tools (Jenkins, Azure).
- Familiarity with front-end frameworks (React, Angular) and testing/observability best practices.
- Strong systems thinking, cross-functional communication, and prior experience in banking, capital markets, or sales & trading environments.
- Strong Java development experience and advanced degree (MS/PhD) are listed as desired.
- Experience with “vibe coding” is noted as a plus.
Compensation & Benefits
- Base pay range: $119,000 - $224,000 (actual pay may vary by experience, location, and other factors).
- Benefits include health plans, 401(k), paid time off, disability, life/critical illness/accident insurance, parental and caregiving leave, commuter benefits, tuition reimbursement, dependent scholarships, and adoption reimbursement.
Compliance & Hiring Notes
- Position is subject to FINRA background screening and ongoing regulatory obligations.
- Candidates must comply with applicable Wells Fargo policies, including those governing outside activities and personal investing.
Technologies & Keywords
Keywords called out in the posting include: GenAI, LLM, agentic solutions, google agent space, cursor, vibe coding, Anthropic/Claude, ChatGPT, Copilot, SecDb, Athena, Quartz.
Tech Stack
Skills
Experience Level
Salary
USD 119,000 - 224,000/year
Employment Type
Benefits
- •Health benefits
- •401(k) Plan
- •Paid time off
- •Disability benefits
- •Life insurance
- •Critical illness insurance
- •Accident insurance
- •Parental leave
- •Critical caregiving leave
- •Discounts and savings
- •Commuter benefits
- •Tuition reimbursement
- •Scholarships for dependent children
- •Adoption reimbursement
- •Incentive opportunities