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

https://devin.ai Consultant (Enterprise AI Implementation Specialist)
About the Role
We are seeking a highly skilled https://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 https://devin.ai, defining best practices, building governance frameworks, enabling teams, and accelerating the platform’s impact across the enterprise.
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Key Responsibilities
1. https://devin.ai Platform Setup & Integration
•Lead the configuration and environment setup of https://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.
2. 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.
3. 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.
4. 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.
6. 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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Required Qualifications
•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.
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Preferred Qualifications
•Experience implementing AI agents or autonomous coding tools.
•Exposure to https://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.

$70 – $75 an hour

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