Wells Fargo

AISystemsOperationsEngineerEnterpriseVideoServices,Wello,andBrand&SponsorshipPlatforms

$195–275k ~AI est. Charlotte, North Carolina, United States FULL TIME Remote Friendly
The Brief

“AI Systems Operations Engineer Enterprise Video Services, Wello, and Brand & Sponsorship Platforms at Wells Fargo. Skills: AI Systems Operations, Enterprise Video Services. Drive design of solutions. Lead engineering across platforms”

What You'll Achieve.

Enable faster content creation; Enable effective content distribution

Industry & Context.

Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

5+ years Systems Engineering experience, 5+ years Technology Architecture experience, 2+ years AI or GenAI solutions experience, 2+ years prompt engineering experience, 2+ years LLM application development experience, 2+ years AI orchestration frameworks experience

Nice to Have

Software engineering fundamentals, Experience collaborating across stakeholders, Experience with Wells Fargo AI platforms, Experience implementing RAG architectures, Experience with secure data access patterns, Experience with model evaluation approaches, Familiarity with AI governance, Familiarity with model risk management, Familiarity with enterprise control frameworks, Experience contributing to platform-level AI capabilities, Experience contributing to shared enterprise services, Bachelor's degree in Computer Science, Bachelor's degree in Engineering, Bachelor's degree in Data Science, Equivalent practical experience

What You'll Do.

Drive design of solutions

Lead engineering across platforms

Ensure high reliability

Ensure high performance

Align with enterprise standards

Translate business needs

Design well-architected solutions

Improve platform reliability

Enable faster content creation

Enable effective content distribution

Lead complex initiatives

Provide systems consultation

Work in large scale planning

Review technical challenges

Analyze escalated support issues

Make decisions on technical changes

Make decisions on enhancements

Consult with engineering team

Design AI-enabled applications

Build AI-enabled applications

Deploy AI-enabled applications

Integrate RAG patterns

Develop prompt engineering patterns

Integrate prompt engineering patterns

Develop model orchestration patterns

Integrate model orchestration patterns

Ensure AI solutions align

Incorporate model risk management

Incorporate data privacy

Incorporate explainability

Incorporate ethical AI

Support experimentation

Transition solutions into production

Contribute to reusable AI assets

Contribute to reusable AI patterns

Contribute to AI best practices

Participate in design reviews

Participate in JAD sessions

Participate in architecture tollgates

Participate in cyber tollgates

Articulate AI design decisions

Articulate risk mitigations

How You'll Work.

Team & Collaboration

Partnering with Marketing; Partnering with Corporate Communications; Partnering with Product; Partnering with Architecture; Partnering with Risk & Compliance; Collaborate with technical peers; Collaborate with colleagues; Collaborate with managers; Collaborate with data partners; Collaborate with cybersecurity partners; Collaborate with risk partners

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