Senior Lead AI/ML Engineer - R01558730

BrillioPhoenix, AZ
9h$70 - $75

About The Position

About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Senior Lead AI/ML Engineer Primary Skills Generative Design Concepts Job requirements Devin.ai Consultant (Enterprise AI Implementation Specialist) About the Role We are seeking a highly skilled Devin.ai Consultant to lead the configuration, integration, and enterprise-grade adoption of Devin—an autonomous AI software engineering platform. This role involves working with engineering, DevOps, security, architecture, and business teams to ensure Devin is deployed securely, optimized for productivity, and aligned with our software delivery processes. The consultant will act as the primary SME for Devin.ai, defining best practices, building governance frameworks, enabling teams, and accelerating the platform’s impact across the enterprise.

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.

Nice To Haves

  • 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.

Responsibilities

  • Devin.ai Platform Setup & Integration 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.
  • Enterprise Architecture & Security 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.
  • Workflow Design & Process Enablement 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.
  • Change Management & Enablement 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.
  • Technical Leadership & Advisory 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.

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What This Job Offers

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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