Senior Lead AIML Engineer R

Bangalore - India

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

Senior Lead AI/ML Engineer

Primary Skills

Communication & Articulation: Vocal & Written Technical Decision Making (How many iterations to go for vs when to stop iterating) OKR Validation against statistical measures Problem Solving Business Acumen (Consume new domains quickly to learn through data) Excel VBA Data Wrangling Design Thinking Data Storytelling & Insight Generation Data Curiosity Data Literacy Problem Formulation (Business problem to Data Science Problem)

Job requirements

Consultant (Enterprise AI Implementation Specialist) About the Role We are seeking a highly skilled Consultant to lead the configuration integration and enterprise-grade adoption of Devinan 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 defining best practices building governance frameworks enabling teams and accelerating the platforms impact across the enterprise. Key Responsibilities 1. Platform Setup & Integration Lead the configuration and environment setup of 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. 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. Preferred Qualifications Experience implementing AI agents or autonomous coding tools. Exposure to 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Senior IC

Senior Lead AI/ML EngineerPrimary SkillsCommunication & Articulation: Vocal & Written Technical Decision Making (How many iterations to go for vs when to stop iterating) OKR Validation against statistical measures Problem Solving Business Acumen (Consume new domains quickly to learn through data) Ex...

Senior Lead AI/ML Engineer

Primary Skills

Communication & Articulation: Vocal & Written Technical Decision Making (How many iterations to go for vs when to stop iterating) OKR Validation against statistical measures Problem Solving Business Acumen (Consume new domains quickly to learn through data) Excel VBA Data Wrangling Design Thinking Data Storytelling & Insight Generation Data Curiosity Data Literacy Problem Formulation (Business problem to Data Science Problem)

Job requirements

Consultant (Enterprise AI Implementation Specialist) About the Role We are seeking a highly skilled Consultant to lead the configuration integration and enterprise-grade adoption of Devinan 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 defining best practices building governance frameworks enabling teams and accelerating the platforms impact across the enterprise. Key Responsibilities 1. Platform Setup & Integration Lead the configuration and environment setup of 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. 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. Preferred Qualifications Experience implementing AI agents or autonomous coding tools. Exposure to 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.

Required Experience:

Senior IC

Key Skills

Administrative Skills
Facilities Management
Biotechnology
Creative Production
Design And Estimation
Architecture

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Brillio

Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.

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