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Distinguished AI Engineer

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Location: California

Responsibilities

  • Design, develop, and deploy enterprise AI solutions spanning traditional machine learning, generative AI, and agentic AI systems.
  • Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic systems, large language models (LLMs), distributed systems, and event-driven architectures.
  • Serve as a senior hands‑on contributor, technical leader, and subject matter expert across the AI development lifecycle.
  • Build reusable AI services, frameworks, accelerators, and reference architectures leveraged across multiple teams and use cases.
  • Partner with business domain SMEs, product, engineering, architecture, security, data, and business teams to translate business opportunities into scalable AI solutions.
  • Lead buy, build, and integrate decisions across commercial and open‑source AI solutions.
  • Guide implementation teams through architecture, design, model selection, evaluation, deployment, and operationalization of AI solutions.
  • Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities.
Requirements
  • Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field.
  • Minimum of 15 years of experience in software engineering.
  • Experience leading, designing, implementing, and operating distributed systems and large-scale architectures.
  • Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages.
  • Experience designing and implementing APIs, microservices, and event-driven architectures.
  • Applying cloud, CI/CD, and Dev Ops practices.
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