Brillio

Senior Lead AI/ML Engineer

Brillio

full-time

Posted on:

Location Type: Hybrid

Location: Phoenix • Arizona • 🇺🇸 United States

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Salary

💰 $70 - $75 per hour

Job Level

Senior

Tech Stack

AWSAzureCloudCyber SecurityDockerGoogle Cloud PlatformJenkinsKubernetesPythonSDLCServiceNowTerraform

About the role

  • Lead the configuration and environment setup of Devin.ai in enterprise settings.
  • Integrate Devin with existing developer tools:
  • oGitHub
  • oCI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, etc.)
  • oJira/ServiceNow
  • oInternal code repositories and artefact stores
  • Configure access controls, role-based permissions, and secure networking.
  • Work with architecture and cybersecurity teams to ensure:
  • oData security, compliance, and privacy alignment
  • oProper isolation of environments
  • oSecure API usage and credential management
  • Create governance models for safe and responsible AI use.
  • Define how Devin integrates into SDLC, DevOps, QA, and engineering workflows.
  • Develop templates, SOPs, and best practices for:
  • oAutonomous task execution
  • oCode generation & review
  • oAutomated testing & deployment
  • oObservability & quality checks
  • Enable multi-team adoption with operational readiness plans.
  • Conduct enablement sessions, hands-on training, and workshops for engineering teams.
  • Build documentation, user guides, and troubleshooting playbooks.
  • Support early-stage pilots, use case discovery, and enterprise-scale rollout.
  • Serve as the subject matter expert for AI-driven engineering workflows.
  • Provide recommendations on scaling DevOps, platform engineering, and automated development using AI.
  • Collaborate with product and engineering leaders on roadmap alignment.

Requirements

  • 6+ years of experience in Software Engineering, DevOps, MLOps, or Platform Engineering.
  • Strong understanding of:
  • oLLM-based coding tools or AI copilots
  • oCI/CD pipelines
  • oCloud platforms (AWS, Azure, GCP)
  • oContainerization (Docker, Kubernetes)
  • Hands-on experience integrating or configuring developer platforms.
  • Familiarity with secure coding, enterprise security standards, and governance systems.
  • Strong scripting knowledge (Python, Bash, YAML).
  • Excellent communication and stakeholder management skills.
  • Experience implementing AI agents or autonomous coding tools.
  • Exposure to Devin.ai, GitHub Copilot, AWS CodeWhisperer, or similar tools.
  • Understanding of SDLC automation, IaC (Terraform), and DevSecOps practices.
  • Prior experience working with enterprise engineering transformation projects.
  • Certifications in cloud (AWS/Azure/GCP), DevOps, or AI tools.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Software EngineeringDevOpsMLOpsPlatform EngineeringLLM-based coding toolsCI/CD pipelinesCloud platformsContainerizationScripting (Python, Bash, YAML)SDLC automation
Soft skills
communicationstakeholder managementtrainingcollaboration
Certifications
AWS certificationAzure certificationGCP certificationDevOps certificationAI tools certification