Technical Architect
- Posted 4 days ago
- Be among the first 10 applicants
Job Description
Job Description
Experience: 10+ years
Key Responsibilities
Assess business processes, Power Platform assets, and automation opportunities to identify high-value AI and Copilot use cases.
Define Agentic AI, Microsoft Copilot, and Power Platform solution architectures aligned to business outcomes and enterprise standards.
Design and implement AI-driven automation solutions for productivity improvement, process optimization, and operational efficiency.
Define KPI frameworks, value realization methodology, and business outcome measurements.
Develop Proof of Concepts (PoCs) and pilot solutions to demonstrate measurable business value.
Provide technical leadership across solution design, development, testing, deployment, and adoption.
Present solution recommendations, architecture decisions, and value realization outcomes to executive stakeholders and architecture review boards.
Collaborate effectively with client teams, business stakeholders, and offshore delivery teams.
Required Skills
Strong hands-on experience with Microsoft Power Platform (Power Apps, Power Automate, Copilot Studio, Dataverse, Power BI).
Strong hands-on experience with Azure AI services, Azure OpenAI, AI Foundry, AI Search, and Agentic AI architectures.
Experience designing and implementing multi-agent and AI orchestration solutions.
Deep understanding of RAG, prompt engineering, AI governance, and enterprise AI adoption.
Hands-on expertise with MCP (Model Context Protocol), LangChain, LangGraph, Semantic Kernel, or equivalent AI orchestration frameworks.
Experience integrating AI solutions with enterprise applications, APIs, and business systems.
Strong architecture, solution design, and technical consulting capabilities.
Excellent client-facing communication and stakeholder management skills.
Ability to facilitate discovery workshops and business outcome discussions.
Preferred Certifications
Microsoft Power Platform Solution Architect Expert
Microsoft Azure AI Engineer Associate
Relevant Microsoft Copilot, Azure AI, or Generative AI certifications
Qualifications
BE
Range Of Year Experience-Min Year
10
Range Of Year Experience-Max Year
14
Experience: 10+ years
Key Responsibilities
Assess business processes, Power Platform assets, and automation opportunities to identify high-value AI and Copilot use cases.
Define Agentic AI, Microsoft Copilot, and Power Platform solution architectures aligned to business outcomes and enterprise standards.
Design and implement AI-driven automation solutions for productivity improvement, process optimization, and operational efficiency.
Define KPI frameworks, value realization methodology, and business outcome measurements.
Develop Proof of Concepts (PoCs) and pilot solutions to demonstrate measurable business value.
Provide technical leadership across solution design, development, testing, deployment, and adoption.
Present solution recommendations, architecture decisions, and value realization outcomes to executive stakeholders and architecture review boards.
Collaborate effectively with client teams, business stakeholders, and offshore delivery teams.
Required Skills
Strong hands-on experience with Microsoft Power Platform (Power Apps, Power Automate, Copilot Studio, Dataverse, Power BI).
Strong hands-on experience with Azure AI services, Azure OpenAI, AI Foundry, AI Search, and Agentic AI architectures.
Experience designing and implementing multi-agent and AI orchestration solutions.
Deep understanding of RAG, prompt engineering, AI governance, and enterprise AI adoption.
Hands-on expertise with MCP (Model Context Protocol), LangChain, LangGraph, Semantic Kernel, or equivalent AI orchestration frameworks.
Experience integrating AI solutions with enterprise applications, APIs, and business systems.
Strong architecture, solution design, and technical consulting capabilities.
Excellent client-facing communication and stakeholder management skills.
Ability to facilitate discovery workshops and business outcome discussions.
Preferred Certifications
Microsoft Power Platform Solution Architect Expert
Microsoft Azure AI Engineer Associate
Relevant Microsoft Copilot, Azure AI, or Generative AI certifications
Qualifications
BE
Range Of Year Experience-Min Year
10
Range Of Year Experience-Max Year
14
More Info
Job Type:
Industry:
Employment Type:
Key Skills
Multi-agent and AI orchestration solutions
LangChain
Architecture solution design
AI orchestration frameworks
Agentic AI architectures
AI Foundry
Enterprise AI adoption
Dataverse
Azure OpenAI
Semantic Kernel
LangGraph
RAG prompt engineering
MCP Model Context Protocol
Microsoft Power Platform
Azure AI services
AI governance
AI Search
Copilot Studio
About Company
Skills:
Algorithms, Design Patterns, Linux Internals, data structures, Restful Apis, Log Analysis, Python, messaging queues, multi-tier application architecture, Java Spring Spring Boot, microservices design, advanced object-oriented programming, system telemetry, unit and integration testing frameworks, AI ML-enabled platform capabilities, database layer optimisation, CI CD automation, production debugging, distributed cloud and SaaS environments, container orchestration
Skills:
Java, Framework Development, Integration, Spring Boot, Microservices, technical architecture solution design, performance optimization, application architecture design patterns
Skills:
.NET, Project Schedule Service (PSS) APIs, Power Automate, Power Platform, SSIS, Javascript, Rest Apis, C#, Plugins, Power Apps, Logic Apps, Dataverse, Model-driven Apps, KingswaySoft, Azure Services, Dynamics 365 Project Operations, AI tools, PCF Controls, Power Platform Connectors, Dynamics 365 CE, Web Resources, Custom APIs
Skills:
Scrum, Agile, Cloud Architecture, Devops, Power Bi, Azure Functions, Application Lifecycle Management, Power Automate, Power Platform, Api Management, Azure DevOps, Azure Integration Services, Power Apps, ASP.NET Core, Dataverse, Logic Apps, Azure Services
Skills:
bedrock , AI ML, Azure, Graph DBs, Hypernetworks, LangGraph, LLM fine-tuning, eval frameworks, GenAI agentic stack, Temporal, LoRA, Vertex AI, vector DBs, RAG, Agent Evolution Approaches, MCP, OpenAI