Principal Engineer

Wells Fargo

Senior engineering leader for enterprise GenAI and conversational platform at Wells Fargo. Focusing on large-scale platform engineering, AI enablement, and cross-enterprise integration.

Posted 6/18/2026full-timeCharlotte • Arizona, California, North Carolina • 🇺🇸 United StatesLead💰 $159,000 - $305,000 per yearWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsGRPCJavaKafkaMicroservicesNoSQLPython

About the role

Key responsibilities & impact

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 cloud‑native platforms across multiple enterprise teams
Lead strategy and resolution of complex, cross‑domain challenges involving GenAI, conversational platforms, API enablement, authentication/authorization, data domains (EDE), and enterprise compliance, delivering scalable, long‑term solutions
Translate advanced engineering experience and a deep understanding of enterprise AI strategy, platform roadmaps, and business objectives into pragmatic, production‑ready 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 real‑time and near‑real‑time experiences, including streaming (e.g., HTTP 1.1 SSE), event‑driven 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 cloud‑native 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

Requirements

What you’ll need

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 event‑driven architectures, using technologies such as Kafka, Flink, or similar real‑time data processing frameworks
5+ years of experience in database design and data architecture, including relational and/or NoSQL systems, data modeling, and high‑throughput data access patterns
7+ years of programming experience in Java and/or Python, building scalable, production‑grade 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 cloud‑native platforms and architectures, including containerization, distributed systems, and scalable deployment models
5+ years experience with system design and architecture for high‑scale 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

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI/ML technologiesLarge Language Models (LLMs)prompt engineeringmodel integrationdistributed streamingevent-driven architecturesdatabase designdata architectureJavaPython

Soft Skills

technical advisorstrategic engagementthought leadershipcollaborationproblem-solvingcommunicationvision and directioninfluencing designcross-domain resolutioncustomer experience improvement