Architecture AI Strategy

Key Responsibilities

• Define enterprise AI vision roadmap and architecture strategy
• Engage with CXO stakeholders to drive AI adoption and transformation
• Design scalable AI solutions across cloud onprem and hybrid environments
• Lead adoption of generative AI LLMs and enterprise AI platforms
• Agentic AI Copilot Solutions
• Architect and govern Copilot Studio agents workflows and integrations
• Design multiagent orchestration patterns task decomposition flows fallback handling
• Enable knowledgedriven AI using Azure AI Search vector databases and RAG patterns
• Implement prompt engineering and ground copilots with enterprise data sources
• AIML Engineering Data Platforms
• Deploy and finetune generative AI and pretrained models
• Apply best practices in ML data engineering and largescale processing PySpark
• Work with Azure AI services OpenAI Form Recognizer Cognitive Search
• Drive MLOps LLMOps foundations for model lifecycle management
• DevOps ALM Governance
• Define ALM strategy for AI and Copilot solutions DevTestProd environments
• Implement CICD using GitHub and Azure DevOps pipelines
• Manage solutions environment variables and connection references

Establish governance for

o Security compliance DLP policies

o Responsible AI and data residency

• Ensure scalable repeatable and auditable deployments
• Integration Enterprise Enablement
• Architect integrations with enterprise systems SAP Dynamics ServiceNow
• Develop APIs custom connectors and automation workflows Power Automate
• Deliver customer enablement workshops and upskilling sessions
• Observability Operations
• Implement monitoring using Azure Monitor and Application Insights
• Track performance reliability and adoption metrics
• Continuously optimize AI solutions and agent workflows

Preferred Qualifications Not Mandatory

• Handson experience with Azure AI Search vectorhybrid retrieval RAG
• Experience designing multiagent ecosystems and orchestration frameworks
• Exposure to crosscloud platforms AWS Google Cloud Platform
• Familiarity with Agent Factory enterprise AI operational models
• Experience with containerization Docker Kubernetes

Required Technical Skills

• AI Copilot
• Copilot Studio topics tools orchestration connectors
• Azure OpenAI Cognitive Services Form Recognizer
• Prompt Engineering and LLMbased solution design
• AIML Data
• Model deployment finetuning and customization
• Python PySpark largescale data processing
• Vector databases and AI knowledge systems
• DevOps ALM
• GitHub repos branching PR policies
• GitHub Actions Azure DevOps pipelines
• Power Platform ALM solutions environments
• Integration Development
• REST APIs custom connectors
• Power Automate Logic Apps Azure Functions
• Security Governance
• Entra ID AAD authentication
• DLP policies compliance governance frameworks
• Responsible AI principles

Preferred Experience

• 20 years IT experience with 5 years in Azure architecture
• Experience in AI strategy CXO engagement and enterprise transformation
• DevOps modernization and platform governance
• Dataverse and Power Platform architecture
• Observability Azure Monitor Application Insights

Soft Skills

• Strong stakeholder management and CXO communication
• Ability to lead architecture discussions and drive consensus
• Excellent problemsolving and analytical thinking
• Experience delivering presentations and customer workshops
• Strong collaboration across crossfunctional teams

Education

• Minimum BCA MCA BE BTech or equivalent
• Preferred MTech MS

Certifications Must Have

• TOGAF
• Microsoft Certified Azure Developer Associate AZ204

Certifications Good to Have

• Azure Solutions Architect Expert
• AI102 Azure AI Engineer
• DP100 Azure Data Scientist
• Databricks LLM Certification