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Developer Operations Ai Jobs in Arizona (NOW HIRING)

AI/ML Engineer - Remote

Phoenix, AZ ยท Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

Configure Dynatrace OneAgent, ActiveGate, Synthetic Monitoring, RUM, DEM, Davis AI, and APM ... DevOps, Infrastructure, and Application teams. Automate operational tasks using Python, Shell, REST ...

Configure Dynatrace OneAgent, ActiveGate, Synthetic Monitoring, RUM, DEM, Davis AI, and APM ... DevOps, Infrastructure, and Application teams. * Automate operational tasks using Python, Shell ...

AI Cloud Engineer

Globe, AZ ยท On-site

$53 - $70.75/hr

... DevOps specialists, and stakeholders to create reliable, scalable, and efficient AI infrastructure. DUTIES AND RESPONSIBILITIES: Cloud Infrastructure & Automation * Design, deploy, and maintain ...

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ ยท Remote

$140K - $170K/yr

Experience with CI/CD tooling (GitHub, BitBucket, Azure DevOps) * Experience with DVCS tooling (Git ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

If you enjoy building intuitive mobile applications, solving technical challenges, embracing AI ... DevOps to improve CI/CD pipelines for mobile deployments. โ€ข Participate in code reviews ...

Showing results 41-60

AI/ML Engineer - Remote

Phoenix, AZ โ€ข Remote

$200 - $350/hr

Full-time

Posted 17 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.