Principal AI Engineer - Concord, CA (Onsite)

Technical Leadership & Architecture

• Own and define enterprise grade 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 Use Case 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 well defined 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 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 GenAI capabilities in internal innovation forums and knowledgesharing sessions

Required Qualifications

• 7+ years of software engineering experience, with significant depth in AI/ML or data intensive systems.

• 2+ Years of experience in Python programming language.

• 2+ Proven experience designing and delivering production scale 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 non functional requirements: security, scalability, resiliency, observability, and cost management.

• Demonstrated Principal level 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 non technical stakeholders