We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.
The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.
Key Responsibilities
Cloud Architecture & Engineering
• Design and implement scalable, secure, and highly available solutions on Microsoft Azure.
• Define cloud architecture standards, reference architectures, and best practices.
• Lead cloud migration and modernisation initiatives across enterprise workloads.
• Implement multi-region disaster recovery and business continuity strategies.
• Oversee Azure networking, identity, security, and governance frameworks.
DevOps & CI/CD
• Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.
• Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.
• Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.
• Establish branching strategies, release management, and environment promotion standards.
• Define and enforce platform engineering standards and internal developer tooling.
AI & Machine Learning Integration
• Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.
• Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.
• Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.
• Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.
• Design and implement enterprise MLOps frameworks.
• Build automated model training, validation, deployment, and monitoring pipelines.
• Establish model governance and lifecycle management.
Generative AI & Agentic AI
• Design enterprise GenAI solutions using Azure OpenAI.
• Build AI Agents using Azure AI Foundry.
• Develop Agent-to-Agent communication patterns.
• Implement Retrieval Augmented Generation (RAG) architectures.
• Build enterprise Knowledge Management and AI Skill Registry platforms.
• Design multi-agent orchestration frameworks.
Leadership & Stakeholder Engagement
• Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.
• Mentor and guide junior architects, developers, and DevOps engineers.
• Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.
• Produce architecture documentation, decision records (ADRs), and roadmaps.
• Represent the technology function in enterprise architecture forums and governance boards.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 10+ years of experience in cloud engineering and architecture.
• 5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.
• Proven experience designing and implementing enterprise-grade CI/CD pipelines.
• Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).
• Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).
• Deep knowledge of DevSecOps principles, tools, and practices.
• Experience with containerisation and orchestration: Docker, Kubernetes (AKS).
• Proficiency in scripting and development: Python, PowerShell, Bash.
• Excellent communication and stakeholder management skills.
Preferred Qualifications
• Microsoft Certified: Azure Solutions Architect Expert.
• Microsoft Certified: DevOps Engineer Expert.
• Microsoft Certified: Azure AI Engineer Associate.
• Experience with Azure API Management (APIM), Event Grid, and Azure Functions.
• Familiarity with Datadog, Prometheus, or equivalent observability platforms.
• Experience in the real estate, retail, or enterprise industry sector.
• Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).
• Background in building Internal Developer Platforms (IDP).
Shubham Vishwakarma
Full Stack Developer - Averlon
About VDart Digital
About
VDart Digital is a High-growth, Global Digital Solutions, Product Development and Professional Services firm, headquartered in Atlanta, GA, USA with global presence in Canada, Mexico, Belgium, UK, Malaysia, UAE & India with a proven track record in building next generation solutions and connected platforms to transform business and operations.
VDart Digital provides turnkey Digital Transformation, Mobility and Supply Chain Management Solutions using AI/ML/GenAI/Agentic AI, Intelligent Automation, Data Analytics, Blockchain, Cloud, IOT, Identity & Access management, UI/UX, Full-stack and mobile development, Integration etc.
VDart Digital’s Products include TestSamurAI, LendSmartAI; IDocLens, Fleet Management (VGo); Document Verification/Validation Platform (Vvalidate); Employee Engagement Mobile App (V Engage).
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- Exceptional growth opportunities—ideal for someone who thrives in fast-paced, high-impact environments.
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This isn’t just a role—it’s a challenge, a platform, and a proving ground.
Ready to step up? Apply now.
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Docker- Automate deployments of infrastructure components and repetitive tasks.
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- Scripting languages - Ruby, Python, Bash
- Systems administration experience – Linux (Redhat), Mac, Windows
- SCM systems - Git
- Build tools - Maven, Gradle, Ant, Make
- Networking concepts - TCP/IP, Load balancing, Firewall
- High-Availability, Redundancy & Failover concepts
- SQL scripting & queries - DML, DDL, stored procedures
- Decisive and ability to work under pressure
- Prioritizing workload and multi-tasking ability
- Excellent written and verbal communication skills
- Database systems – Postgres, Oracle, or other RDBMS
- Mac automation tools - JAMF or other
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JenkinsDockerKubernetesPosition: DevOps Engineer
Job Description
The candidate should have the following Skills:
- Hands-on experience with DevOps & CICD open source tools (Jenkins, ), including AWS DevOps services (CodePipeline, CloudFormation, etc).
- Experience in building and deploying using Java/Python/Node.js on Cloud infrastructure (Docker or Kubernetes containers or Lambda.)
- Exposure to Cloud operations, releases, and configuration management
- Experience in implementing Non-functional requirements for microservices, including performance, security, compliance, HA and Disaster Recovery.
- Good soft skills, great attitude, and passion for working in a product startup environment
Total Experience of 2-5 years post BE or BTech or MCA in Computer Science Engineering.
THE OPPORTUNITY
A platform to learn and grow in a great working environment with cutting edge technologies. There is vast opportunity to showcase creative thinking which can be translated into a highly optimized tools/utilities.
KEY ACTIVITIES
- Code Integrations ( Compile, Build, Notify )
- Package creation ( Service Packs, Patches, Hotfixes )
- Environment Preparation ( With GOLD SCM technical stack )
- Environment & Infra management
- Package delivery ( Customer specific & Standard )
- Build & Deployment automation
- Tickets management
KEY CRITERIA
Primary Technical Skills
- Shell Scripting
- ORACLE DB Fundamentals
- Infra Monitoring & Diagnostics
- ClearCase / GIT
- DevOps concepts
- Basic Java
Other Required Skills
- Problem Solving
- Logical Reasoning
- Aptitude & Attitude
- Communication (Verbal & Written)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon