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Senior AI Engineering

Technocraft Solutions

 

United States

Posted On: 15+ days ago
Experience: 5+ years
Availability: Remote
Openings: 1
Category: AI Engineering Lead
Tenure: Contract - Corp-to-Corp
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Description

Key Responsibilities

  • Lead AI-enabled SRE, DevOps, operations, and reliability initiatives.
  • Drive adoption of Generative AI and AI-assisted engineering practices across the SDLC.
  • Identify and implement AI use cases for incident management, monitoring, troubleshooting, and automation.
  • Establish operational standards, governance, security controls, and technical guardrails.
  • Improve system reliability, observability, and operational efficiency through automation.
  • Lead CI/CD, production support, monitoring, and troubleshooting initiatives.
  • Provide technical direction and mentorship across multiple engineering teams/pods.
  • Act as a senior technical advisor and escalation point for complex production issues.
  • Work directly with client and engineering teams to translate business needs into scalable technical solutions.
  • Support deployment and integration of AI solutions into complex enterprise environments.

 

Required Skills

  • Strong experience in Site Reliability Engineering (SRE).
  • Strong DevOps and production operations experience.
  • Hands-on experience with Generative AI / AI Engineering.
  • Experience with Observability and Monitoring.
  • Strong knowledge of Incident Management and Troubleshooting.
  • Experience with Operational Automation.
  • Strong understanding of CI/CD pipelines.
  • Experience with Cloud Platforms.
  • Experience with Infrastructure as Code (IaC).
  • Experience applying AI/GenAI to operational and client-specific use cases.
  • Experience with AI-assisted incident response, intelligent monitoring, and automated troubleshooting.
  • Experience in Forward Deployed Engineering (FDE) or customer-facing technical delivery.
  • Ability to work with distributed engineering teams and provide technical leadership.

Preferred Skills

  • Experience working in healthcare or other regulated environments.
  • Enterprise AI tools and platforms.
  • Large-scale enterprise production environments.
  • Strong customer-facing and communication skills.
  • Ability to translate business requirements into technical solutions.
  • Experience establishing AI governance, standards, and guardrails

Education

Any Gradute

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