Front Office GenAI Agentic Engineer - Vice President - Markets

Corporate & Investment Bank (CIB) delivers a comprehensive suite of banking, capital markets and advisory solutions, including a full complement of sales, trading and research capabilities, to corporate, government and institutional clients. We focus on our clients' overall financial needs, with consideration and respect for their total relationship with Wells Fargo.

Markets provides solutions to clients with the means to manage their exposure through various derivatives, lending and cash products across Structured Products Group, Rates, Equities, Foreign Exchange, Municipal Products Group, Credit Sales & Trading.

About this role:

The Markets division is looking to accelerate automation and innovation through GenAI Agentic infrastructure. We are seeking a GenAI Agentic Engineer (Vice President level) to join a newly formed engineering team dedicated to designing, building, and deploying agentic solutions that transform business workflows across Sales & Trading. This role is central to our mission of embedding advanced GenAI agents into production environments, driving both business impact and technical excellence.

The successful candidate will partner with product managers, business stakeholders, and cross-functional teams to deliver robust, scalable, and secure agentic systems. This is a unique opportunity to shape the next generation of AI-driven automation in a high-impact, front-office context.

Essential duties and responsibilities include:

* Agent Design & Orchestration:
Architect and deploy agents that autonomously execute complex, multi-step business workflows, ensuring alignment with business objectives and regulatory requirements.

* Tool Development & Integration:
Build and integrate APIs/tools, enabling secure and reliable agent access to internal and external resources.

* Prompt Engineering:
Develop advanced prompts and system instructions to define agent behavior, reasoning, and interaction patterns.

* State & Memory Management:
Implement robust systems for tracking agent progress, learning from interactions, and maintaining context across workflows.

* Evaluation & Debugging:
Create frameworks to assess agent reasoning, troubleshoot complex behaviors, and ensure system reliability.

* Collaboration:

Work closely with product, data science, and business teams to identify automation opportunities and translate requirements into technical solutions.

* Documentation & Compliance:
Deliver high-quality software, documentation, and model validation artifacts, adhering to Agile SDLC and all relevant risk and compliance standards.

In this role, you will:

* Proactively participate in complex software design and development activities within an Agile environment.

* Contribute to large-scale project planning, balancing short- and long-term objectives.

* Use advanced AI, quantitative, and engineering techniques to solve challenging business problems.

* Meet deliverables while adhering to policies, procedures, and compliance requirements.

* Collaborate and consult with peers, colleagues, and project managers to resolve issues and achieve goals.

* Effectively communicate with and build consensus among all project stakeholders.

Required Qualifications:

* 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired

Qualifications:

* 5+ years expert level Python and 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., Lang Chain, Llama Index, Auto Gen).

* Deep knowledge of LLM and API integration, including RESTful API design.

* Experience with Vibe coding a plus!

* Demonstrated systems thinking and experience designing complex, event-driven applications.

* Strong cross-functional communication skills, with the ability to partner effectively with business, product, and technology teams.

* Prior experience with application development in banking, capital markets, or sales & trading environments.

* Experience with container-based deployment (e.g., Docker, Open Shift) and…