Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
21 hours ago
DockerAWSMLOpsAzureComplianceDatabricksGenerative AIGitHub ActionsGoogle CloudKubernetesLLMPythonRESTSAPServiceNowStakeholder Management
Job Description
Job Title : Architecture AI Strategy
Remote
Job Description
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 Certifications
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
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