Devin.ai Consultant; Enterprise AI Implementation Specialist

Position: Devin.ai Consultant (Enterprise AI Implementation Specialist)

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This range is provided by Brillio. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70.00/hr - $80.00/hr

We are hiring new Position - UI Developer (React and Node.js) and Java Backend experience (100% Remote and W2/Full Time Position)

Job Title:
Devin.ai Consultant (Enterprise AI Implementation Specialist)

Location: [Onsite/Hybrid/Remote]

Experience: 6–12 years (AI/ML, Dev Ops, or Platform Engineering preferred)

Department: Technology / AI Center of Excellence

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, Dev Ops, 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.

Key Responsibilities

• Lead configuration and environmental setup of Devin.ai in enterprise settings.
• Integrate Devin with Git Hub, Jira/Service Now, internal code repositories, and artefact stores.
• Configure access controls, role-based permissions, and secure networking.
• Work with architecture and cybersecurity teams to ensure data security, compliance, privacy, isolation of environments, secure API usage, credential management, and governance models for safe and responsible AI use.
• Define how Devin integrates into SDLC, Dev Ops, QA, and engineering workflows.
• Develop templates, SOPs, and best practices for automated testing & deployment, observability & quality checks, and 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 subject matter expert for AI‑driven engineering workflows and provide recommendations on scaling Dev Ops, platform engineering, and automated development using AI.
• Collaborate with product and engineering leaders on roadmap alignment.

Required Qualifications

• 6+ years of experience in Software Engineering, Dev Ops, MLOps, or Platform Engineering.
• Strong understanding of LLM‑based coding tools or AI copilots.
• 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.

Preferred Qualifications

• Experience implementing AI agents or autonomous coding tools.
• Exposure to Devin.ai, Git Hub Copilot, AWS Code Whisperer, or similar tools.
• Understanding of SDLC automation, IaC (Terraform), and Dev Sec Ops  practices.
• Prior experience working with enterprise engineering transformation projects.
• Certifications in cloud (AWS/Azure/GCP), Dev Ops, or AI tools.

Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

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