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Principal AI Engineer

Concord, CA, US • Posted 8 hours ago • Updated 8 hours ago

Full Time

Travel Required

On-site

$100,000 - $140,000/yr

Fitment

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Job Details

Skills

API
Artificial Intelligence
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Python
Regulatory Compliance
Roadmaps
Use Cases
Software Design

Summary

Job Title: Principal AI Engineer

Location: Concord, CA (Onsite) - Full time

Job Description:

is seeking a Principal AI Engineer to serve as a senior technical leader driving the design, scale, and operationalize of enterprise Generative AI solutions across the firm. This role sits at the intersection of AI platform engineering, business usecase delivery, and riskaware execution, and is critical to accelerating initiatives such as DASH (Employee Virtual Assistant), intent routing, and LOBembedded GenAI use cases.
As a Principal Engineer, you will own endtoend technical strategy, influence architecture across multiple teams, and act as a force multiplier for GenAI adoption through a Forward Deployed Engineering (FDE) model embedding deeply with business partners while staying aligned with central AI platforms and governance.

Key Responsibilities:

Technical Leadership & Architecture:

Own and define enterprisegrade GenAI architectures, including RAG pipelines, agentic workflows, prompt orchestration, and multimodel routing strategies.
Drive production readiness for GenAI solutions, ensuring scalability, resilience, observability, and cost efficiency.
Lead complex architectural decisions spanning data ingestion, vector databases, model selection, guardrails, latency optimization, and API scalability.
Establish reference architectures and reusable patterns to accelerate GenAI adoption across Lines of Business.

Enterprise UseCase Delivery (FDE Model):

Act as a Forward Deployed Principal Engineer, partnering directly with business and product teams to deliver highimpact GenAI use cases from ideation to production.
Translate business problems into welldefined AI system designs and NFRs, ensuring measurable outcomes.
Troubleshoot and resolve complex production issues across nonprod and prod environments.
Influence platform roadmap by feeding realworld usecase requirements back into central AI services (e.g., Tachyon).

Governance, Risk & Compliance:

Ensure all AI solutions align with Wells Fargo risk, cyber, and model governance standards, including AIRR, data protection, and guardrails.
Partner with Cyber, MRM, Legal, and Risk teams to design compliant AI patterns without slowing delivery.
Embed security, privacy, and ethical AI principles into solution design by default.

Organizational Influence & Mentorship:

Serve as a recognized GenAI expert across the enterprise regularly consulted by engineering, architecture, and leadership teams.
Mentor senior and stafflevel engineers; raise the technical bar across teams.
Contribute to internal communities of practice, architecture reviews, and executivelevel technical discussions.
Represent Wells Fargo GenAI capabilities in internal innovation forums and knowledgesharing sessions

Required Qualifications:

7+ years of software engineering experience, with significant depth in AI/ML or dataintensive systems.
2+ Years of experience in Python programming language.
2+ Proven experience designing and delivering productionscale Generative AI systems in an enterprise environment.
2+ years of experience in:

LLMs, prompt engineering, and RAG architecture
Vector databases and semantic search
APIdriven, cloudnative architectures
Distributed systems and performance optimization

Preferred Qualifications:

Strong understanding of nonfunctional requirements: security, scalability, resiliency, observability, and cost management.
Demonstrated Principallevel impact: influence across multiple teams, platforms, or business units.
Experience operating in highly regulated environments (financial services strongly preferred).
Handson experience with agentic AI frameworks and multimodel orchestration.
Prior experience in a Forward Deployed Engineer or embedded engineering model.
Ability to communicate complex technical concepts clearly to senior executives and nontechnical stakeholders.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10462843
Position Id: 9011935
Posted 8 hours ago

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Vemula Sowmya

Recruiter @ Photon

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