Technology Architecture Professional
YASH Technologies · Hyderabad · onsite · Posted 44d ago
Undisclosed18–23 yrsfulltimeSourced from
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About this role
We are looking forward to hire Cloud Architecture Professionals in the following areas :
Experience
18+ Years
Job Title: Enterprise Architect - Cloud Infrastructure Services
Position Summary
We are seeking an experienced Enterprise Architect to lead the strategy, design, and implementation of AI-powered solutions, Agentic AI platforms, and intelligent automation capabilities across Cloud Infrastructure Services. This role will be responsible for developing AI-driven service offerings, autonomous operations frameworks, and domain-specific AI agents that enhance operational efficiency, improve service quality, and reduce support costs across managed services environments.
The Enterprise Architect will collaborate with Cloud, Infrastructure, Security, Digital Workplace, Service Management, and Engineering teams to transform traditional IT operations into AI-enabled, proactive, and autonomous service models.
Key Responsibilities
- Define and execute the AI strategy and roadmap for Cloud Infrastructure Services.
- Design and develop AI-powered solutions, Agentic AI frameworks, and intelligent automation platforms.
- Build AI agents for Service Desk, Infrastructure Operations, Cloud Operations, Security Operations, Network Operations, and End User Computing services.
- Develop AI-driven use cases including ticket automation, self-healing infrastructure, predictive analytics, capacity management, FinOps, compliance monitoring, and operational insights.
- Architect and implement solutions leveraging GenAI, LLMs, RAG, AI orchestration frameworks, and multi-agent systems.
- Integrate AI solutions with ITSM, observability, monitoring, cloud management, and security platforms.
- Establish AI governance, security, compliance, and responsible AI practices.
- Partner with service delivery and operations teams to identify automation opportunities and drive operational transformation.
- Support pre-sales, solutioning, customer workshops, and AI transformation initiatives.
- Develop reusable AI accelerators, frameworks, and intellectual property for managed services offerings.
- Evaluate emerging AI technologies and recommend innovative solutions aligned with business objectives.
Position Summary
We are seeking an experienced Enterprise Architect to lead the strategy, design, and implementation of AI-powered solutions, Agentic AI platforms, and intelligent automation capabilities across Cloud Infrastructure Services. This role will be responsible for developing AI-driven service offerings, autonomous operations frameworks, and domain-specific AI agents that enhance operational efficiency, improve service quality, and reduce support costs across managed services environments.
The Enterprise Architect will collaborate with Cloud, Infrastructure, Security, Digital Workplace, Service Management, and Engineering teams to transform traditional IT operations into AI-enabled, proactive, and autonomous service models.
Key Responsibilities
- Define and execute the AI strategy and roadmap for Cloud Infrastructure Services.
- Design and develop AI-powered solutions, Agentic AI frameworks, and intelligent automation platforms.
- Build AI agents for Service Desk, Infrastructure Operations, Cloud Operations, Security Operations, Network Operations, and End User Computing services.
- Develop AI-driven use cases including ticket automation, self-healing infrastructure, predictive analytics, capacity management, FinOps, compliance monitoring, and operational insights.
- Architect and implement solutions leveraging GenAI, LLMs, RAG, AI orchestration frameworks, and multi-agent systems.
- Integrate AI solutions with ITSM, observability, monitoring, cloud management, and security platforms.
- Establish AI governance, security, compliance, and responsible AI practices.
- Partner with service delivery and operations teams to identify automation opportunities and drive operational transformation.
- Support pre-sales, solutioning, customer workshops, and AI transformation initiatives.
- Develop reusable AI accelerators, frameworks, and intellectual property for managed services offerings.
- Evaluate emerging AI technologies and recommend innovative solutions aligned with business objectives.
Required Technical/ Functional Competencies
Required Skills Experience
- 18+ years of experience in Cloud, Infrastructure, Managed Services, or Enterprise IT environments.
- 7+ years of experience in AI, GenAI, Automation, AIOps, or Intelligent Operations.
- Strong understanding of Large Language Models (LLMs), Agentic AI, RAG, AI orchestration, and AI automation frameworks.
- Experience with AI platforms such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, Amazon Q, Google Vertex AI, or equivalent.
- Knowledge of cloud platforms including Azure, AWS, and GCP.
- Experience integrating AI solutions with ITSM, monitoring, observability, and infrastructure management tools.
- Strong programming and automation skills in Python, PowerShell, APIs, and scripting frameworks.
- Excellent stakeholder management, communication, and solution architecture skills.
Preferred Qualifications
- Experience in Managed Services, Cloud Operations, Infrastructure Operations, or AIOps environments.
- Hands-on experience with AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
- Experience designing enterprise-scale automation and self-healing solutions.
- Cloud and AI certifications from Microsoft, AWS, or Google Cloud.
- Exposure to ITIL, Service Management, and operational governance frameworks.
Success Measures
- Develop and operationalize AI-powered managed service capabilities.
- Deliver AI agents and automation solutions that improve service delivery efficiency.
- Reduce manual operational effort through intelligent automation and autonomous operations.
- Accelerate incident resolution, improve customer experience, and optimize support costs.
- Establish a scalable AI innovation framework that supports future service transformation initiatives.
- 18+ years of experience in Cloud, Infrastructure, Managed Services, or Enterprise IT environments.
- 7+ years of experience in AI, GenAI, Automation, AIOps, or Intelligent Operations.
- Strong understanding of Large Language Models (LLMs), Agentic AI, RAG, AI orchestration, and AI automation frameworks.
- Experience with AI platforms such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, Amazon Q, Google Vertex AI, or equivalent.
- Knowledge of cloud platforms including Azure, AWS, and GCP.
- Experience integrating AI solutions with ITSM, monitoring, observability, and infrastructure management tools.
- Strong programming and automation skills in Python, PowerShell, APIs, and scripting frameworks.
- Excellent stakeholder management, communication, and solution architecture skills.
Preferred Qualifications
- Experience in Managed Services, Cloud Operations, Infrastructure Operations, or AIOps environments.
- Hands-on experience with AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
- Experience designing enterprise-scale automation and self-healing solutions.
- Cloud and AI certifications from Microsoft, AWS, or Google Cloud.
- Exposure to ITIL, Service Management, and operational governance frameworks.
Success Measures
- Develop and operationalize AI-powered managed service capabilities.
- Deliver AI agents and automation solutions that improve service delivery efficiency.
- Reduce manual operational effort through intelligent automation and autonomous operations.
- Accelerate incident resolution, improve customer experience, and optimize support costs.
- Establish a scalable AI innovation framework that supports future service transformation initiatives.
Required Behavioral Competencies
Leadership Competencies as Applicable-
Vision Alignment:
- Create action plan based on Business objectives.
- Manages all the internal and external issues that may affect the organizations vision, mission and objectives.
- Leads directs a strategic planning team to address outline the future direction of Department.
- Prioritize the work based on Department s priority.
- Demonstrates a "can do" attitude and is willing to stretch self to achieve and exceed defined goals/targets.
Decision Making:
- Clearly identifies implication of decisions on their teams/ departments and keep them in mind while decision making.
- Balance conflicting stakeholder concerns while making decisions.
- Takes timely decisions that may have significant impact based on one s earlier experience.
- Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.
Building High Performing Teams:
- Provides required resources to team for executing plans recognizes the value of teamwork. Builds rapport facilitates trust building within the team.
- Encourages the under-performers to raise their performance level.
- Displays sensitivity in interactions and strives to understand others views and concerns.
Coaching Mindset:
- Communicate clear objectives and measurable standards of success.
- Actively provides timely, specific and constructive feedback impacting performance.
- Identifies strengths/ development areas and suggests detailed action plans for leveraging/ improving them.
Change Advocate:
- Considers innovative ideas provided by others.
- Adapts the change effectively using quality control systems methods.
- Implements cutting edge ideas to develop business unit services.
- Demonstrates the willingness to work through the change transition.
- Effectively communicates the plan of Change.
Certifications
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Skills
AutomationBedrockAgileAIOpsai strategyAzure Aiapisaws bedrockai frameworksamazon web servicesai technologiesCapacity managementai automationAzure OpenAIai governanceAnalyticsArchitectureAi SolutionsMicrosoft AzureArtificial IntelligenceAutomation Solutions
About YASH Technologies
YASH Technologies
IT Services & Consulting
4.9k+
employees
1996
30 years old
Indore, Madhya Pradesh
India
About
YASH Technologies is a leading systems integrator and outsourcing partner that focuses on empowering its customers to drive enterprise-wide business transformation at scale.
Industries
IT Services & Consulting
Employee ratings
2,024 reviews
3.6/ 5
Culture
3.6
Career growth
3.1
Work-life
3.7
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