Principal AI Solutions Architect (contract)

Wells Fargo
Santa Clara, CA, United States
about 1 month ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$249,600.0 - $266,240.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Audit Trail Profiling Distributed Systems Fault Tolerance Graph Database Python (Programming Language) Multiprocessing Performance Tuning Query Optimization Recommender Systems Search Technologies
+20 more
Service Development Studio Software Engineering SQL Databases Workflow Management Systems Feature Engineering Retrieval-Augmented Generation Large Language Models Multi-Agent Systems Prompt Engineering Model Validation Caching Generative AI Backend Fastapi Event Driven Architecture AI Platforms Low Latency Virtual Agents Restful APIs Microservices

Job description

  • Python software engineering
  • REST API development
  • Microservices architecture
  • Distributed systems design
  • Backend service development
  • FastAPI
  • AsyncIO
  • Multiprocessing
  • Performance tuning and profiling
  • Caching strategies
  • Database/query optimization
  • Event-driven architecture
  • High-availability and fault-tolerant system design

Generative AI / LLM Skills

  • Generative AI application development
  • Large Language Models
  • Agentic AI systems
  • Multi-agent workflow design
  • Retrieval-Augmented Generation
  • Hybrid RAG architectures
  • Knowledge graph-enhanced RAG
  • Prompt engineering
  • Prompt orchestration
  • Tool calling
  • LLM routing and fallback strategies
  • Fine-tuning evaluation
  • Model evaluation frameworks
  • Hallucination detection
  • Human-in-the-loop validation
  • Text-to-SQL using LLMs
  • Schema-aware prompting
  • Embeddings and semantic search

AI Platform & Architecture Skills

  • Enterprise AI platform architecture
  • Scalable AI workflow design
  • AI governance standards
  • AI guardrails implementation
  • Responsible AI controls
  • PII redaction
  • Audit logging
  • Model usage monitoring
  • Latency, cost, and accuracy optimization
  • AI/ML feature engineering
  • Recommendation systems
  • Feedback loops for model improvement

Requirements

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Specialty Software Engineering. Review and analyze complex multi-faceted, larger scale, or longer-term Specialty Software Engineering challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education., * Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:15 min

Reversing the caching model for artifact delivery

Thijs Feryn Thijs Feryn · World Congress 2026 Europe

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

2:33 min

Maintaining prompt structures for prefix caching

Douglas Reiser Douglas Reiser · Europe 2026 Virtual

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

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