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Wells Fargo is seeking a senior engineering leader to support Fargo, the enterprise Virtual Assistant and GenAI platform, which powers conversational, AIdriven experiences across multiple lines of business. This role will focus on largescale platform engineering, AI enablement, and crossenterprise integration, operating at the intersection of architecture, security, and business transformation.

• Act as a technical and architectural advisor to senior leadership for an enterprise GenAI and conversational platform, influencing design and implementation of highly complex applications, APIs, AI/ML integrations, streaming technologies, security controls, and cloudnative platforms across multiple enterprise teams

• Lead strategy and resolution of complex, crossdomain challenges involving GenAI, conversational platforms, API enablement, authentication/authorization, data domains (EDE), and enterprise compliance, delivering scalable, longterm solutions

• Translate advanced engineering experience and a deep understanding of enterprise AI strategy, platform roadmaps, and business objectives into pragmatic, productionready technical solutions

• Provide vision and direction on GenAI adoption, including LLM integration patterns, prompt orchestration, model governance, observability, and responsible AI controls within an enterprise AI platform

• Drive architectural alignment for realtime and nearrealtime experiences, including streaming (e.g., HTTP 1.1 SSE), eventdriven integrations, and performance optimization for conversational entry points

• Partner closely with product, security, platform, and data teams to ensure enterprise AI solutions meet security, privacy, resiliency, and regulatory standards

• Maintain awareness of industry best practices in AI platforms, conversational systems, and cloudnative engineering, recommending innovations that improve customer experience, developer productivity, and operational efficiency

• Strategically engage with engineering leaders, architects, and executives across the enterprise, serving as a trusted expert and thought leader for enterprise GenAI initiatives

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

• 3+ years of experience in AI/ML technologies, including Large Language Models (LLMs), prompt engineering, model integration, or applied machine learning in production environments

• 3+ years of experience with distributed streaming and eventdriven architectures, using technologies such as Kafka, Flink, or similar realtime data processing frameworks

• 5+ years of experience in database design and data architecture, including relational and/or NoSQL systems, data modeling, and highthroughput data access patterns

• 7+ years of programming experience in Java and/or Python, building scalable, productiongrade backend systems and APIs

• 3+ years of experience designing and integrating APIs and microservices, including REST/gRPC services and service orchestration patterns

• 3+ years experience working with cloudnative platforms and architectures, including containerization, distributed systems, and scalable deployment models

• 5+ years experience with system design and architecture for highscale applications, including performance optimization, fault tolerance, and resiliency

• 3+ years working and understanding of security, data privacy, and governance considerations, especially in regulated enterprise environments

• Experience with conversational platforms, chatbots, or virtual assistants at enterprise scale

• Handson experience with GenAI / LLM integrations, including prompt management, orchestration layers, and AI safety or governance controls

• Knowledge of API security, OAuth, authentication/authorization platforms, and reverseproxy or gateway patterns

• Experience working with streaming or realtime technologies to support lowlatency user experiences

• Familiarity with enterprise data domains (e.g., EDE) and data access patterns for AIdriven applications

• Ability to operate effectively in highly matrixed organizations, influencing without direct authority

• Drive architectural consistency and technical excellence across Fargo integrations

• Balance innovation with risk management, compliance, and operational stability

• Communicate complex technical concepts clearly to executive and nontechnical stakeholders

• Support crossLOB onboarding and adoption of Fargo capabilities

• This position offers a hybrid work schedule

• This position is not eligible for Visa sponsorship or transfer of visa

• Relocation assistance is not available for this position

Location:

• 300 S. Brevard St., Charlotte, NC

• 2600 S Price Rd., Chandler, AZ

• 1755 Grant St., Concord, CA

• 333 Market Street, San Francisco, CA

Pay range:

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

For other locations : 159,000.00 - 254,000.00 USD Annual

For CA locations only: 191,000.00 - 305,000.00 USD Annual

Benefits:

• Information about Wells Fargo's US employee benefits

• Information about Wells Fargo's International employee benefits

Posting End Date:

29 May 2026

*Job posting may come down early due to volume of applicants.