LTIMindtree | Azure Architect
2 days ago
Job Details:
Experience - 12+ yrs
Mandatory Skills - Microsoft Azure AI, Azure Open AI, Azure Machine Learning Cognitive Services, Architectural.
Location - Mumbai, Pune, Bangalore, Chennai, Hyderabad and Kolkata location.
We seek an accomplished Azure Architect to design develop and implement AI driven solutions using Microsoft Azure AI and Open AI capabilities This role will guide our AI solution architecture ensure seamless integration with the Azure ecosystem and drive technological innovation for our clients You'll work closely with our engineering product and client teams to deploy high impact AI applications utilizing Microsoft AI technologies for largescale and highly specialized projects
Key Responsibilities
1) Architectural Leadership
- Lead the design architecture and deployment of AI solutions using Microsoft Azure ensuring alignment with business and technical requirements
- Develop scalable secure and optimized architectures for AI applications using Azure AI tools including Open AI
- Create detailed architecture documentation including data flow diagrams design specifications and integration plans
2) Solution Development
- Design and implement AI models leveraging Azure Machine Learning Cognitive Services and Open AI to build robust and scalable applications
- Collaborate with data scientists ML engineers and software developers to translate complex AI models into production ready solutions
- Optimize AI solutions for performance accuracy and cost-effectiveness across varied client environments
3) Integration and Deployment
- Manage end-to-end deployment of AI solutions on Azure including automation CICD pipelines and ongoing monitoring
- Oversee integration of Azure based AI solutions with existing enterprise architectures ensuring seamless functionality and data integrity
- Work with Azure DevOps tools to streamline deployments version control and environment management
- Deploy Infrastructure as Code IaC on Azure using Azure Resource Manager ARM or Bicep templates to define and manage the required infrastructure for solutions
4) Security and Compliance
- Ensure that all Azure based AI architectures comply with industry standards and best practices for security data privacy and regulatory compliance
- Design implement and manage security controls for Azure resources including Virtual Networks VNet Private Endpoints Network Security Groups NSG and Identity and Access Management IAM to ensure a robust and secure cloud environment
5) Technical Collaboration and Client Interaction
- Serve as a subject matter expert in Azure AI technologies providing guidance and best practices to internal teams and clients
- Engage directly with clients to understand business needs and translate them into technically feasible AI solutions on Azure
- Conduct technical training sessions and knowledge transfer workshops to enhance team and client understanding of Azure AI capabilities
Required Qualifications
- Bachelors or Masters degree in Computer Science Engineering Information Technology or equivalent experience
- Proven experience as an Azure Architect with a focus on AI solutions strong background in Azure Machine Learning Cognitive Services and Azure Open AI
- 5 years of hands on experience building deploying and managing AI applications on Microsoft Azure
- Strong knowledge of Azure services including Private Endpoint Network Security Virtual Networks and IAM
- Strong knowledge of machine learning principles NLP and data science familiarity with large language models is a plus
- Demonstrated experience with CICD processes containers and Azure DevOps
- Proficiency in scripting and programming languages such as Python C or Java
- Strong understanding of data security privacy and regulatory requirements in AI applications
Preferred Skills
- Experience with hybrid and multi cloud environments
- Microsoft Certified Azure Solutions Architect Expert or Azure AI Engineer certification
Key Competencies
- Strong problem solving skills analytical mindset and attention to detail
- Excellent communication and interpersonal skills to effectively collaborate with technical and nontechnical stakeholders
- Ability to work autonomously manage multiple projects and prioritize effectively
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