Senior AI Engineer
CLA (CliftonLarsonAllen)
full-time
Posted on:
Location Type: Hybrid
Location: Arlington • Texas • Virginia • United States
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Job Level
About the role
- Lead the implementation of production-ready AI systems across predictive modeling, optimization, and LLM-powered applications
- Design end-to-end architectures including data pipelines, APIs, model services, orchestration layers, and monitoring systems
- Build and deploy AI workflows within Azure and Databricks environments
- Develop robust evaluation frameworks for both ML models and LLM-based systems
- Design and implement AI applications with strong grounding, safety, evaluation, and cost controls
- Build AI workflows including tool integration, memory systems, and orchestration logic
- Implement model routing, fallback strategies, and guardrails
- Develop context and memory systems (retrieval, summarization, session continuity)
Requirements
- 2 years of relevant experience required
- 5–7 years of experience in AI engineering, machine learning, or software engineering preferred
- Strong proficiency in Python and production-grade development practices preferred
- Proven experience deploying ML/AI systems into production environments preferred
- Experience designing APIs, pipelines, and service-oriented architectures preferred
- Strong understanding of model evaluation, experimentation, and performance tradeoffs preferred
- Ability to work independently and mentor junior team members
Benefits
- Flexible PTO (designed to offer flexible time away for you!)
- Up to 12 weeks paid parental leave
- Paid Volunteer Time Off
- Mental health coverage
- Quarterly Wellness stipend
- Fertility benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI systemspredictive modelingoptimizationLLM-powered applicationsdata pipelinesAPIsmodel servicesAzureDatabricksPython
Soft Skills
independent workmentoring