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AI Engineer
Job Location:
Job Location:
Bellevue, WA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
8 August 2026 (20 days ago)
Posted:
Application Deadline:
5 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Client: Wipro
Location: Bellevue WA Onsite
Job Type: Full-Time
Compensation: $150000/Year
Experience: 15 Years of Overall IT Experience
Experience Requirements
15 years of overall IT experience.
3 years of AI/ML experience OR
6 years of Data Engineering experience.
Strong hands-on experience with Agentic AI MCP servers multi-agent systems and enterprise AI integrations.
Job Summary
Wipro is seeking a highly experienced AI Engineer to design and develop enterprise-grade Agentic AI solutions Model Context Protocol (MCP) servers multi-agent workflows and AI platform tooling.
The ideal candidate will have hands-on experience with MCP server development tool integrations Agent-to-Agent (A2A) communication multi-agent orchestration and modern Agentic AI frameworks including LangChain LangGraph AutoGen CrewAI Semantic Kernel and Azure Agentic Framework.
This role will focus on building reusable production-ready AI components that enable LLM agents to securely access enterprise APIs data sources and services while supporting scalable observable and governed agent execution.
Key Responsibilities
Design and develop Model Context Protocol (MCP) servers and enterprise tool integrations.
Build reusable production-grade tools that expose enterprise APIs data sources and services to LLM agents.
Enable real-time context retrieval and secure action execution through MCP-based integrations.
Design and implement Agent-to-Agent (A2A) communication protocols for enterprise multi-agent systems.
Architect multi-agent workflows where specialized agents can collaborate delegate tasks exchange information and share context.
Build and manage Agentic AI solutions using LangChain LangGraph AutoGen CrewAI Semantic Kernel and Azure Agentic Framework.
Implement agent orchestration tool calling memory management context handling and dynamic task routing.
Design reusable agent components tools workflows and platform capabilities for enterprise AI applications.
Own the agentic platform tooling layer including agent lifecycle management and reusable AI services.
Ensure agent execution is reliable scalable observable secure and governed across the AI platform.
Integrate AI agents with enterprise applications APIs databases cloud platforms and external services.
Collaborate with AI/ML engineers data engineers software developers architects DevOps teams and business stakeholders.
Establish engineering best practices for Agentic AI development testing monitoring security governance and production deployment.
Required Technical Skills
15 years of overall IT experience.
3 years of AI/ML experience or 6 years of Data Engineering experience.
Strong hands-on experience developing MCP servers and MCP tool integrations.
Experience designing and implementing Agentic AI architectures.
Hands-on experience with multiple Agentic AI frameworks including:
LangChain
LangGraph
AutoGen
CrewAI
Semantic Kernel
Azure Agentic Framework
Strong experience with multi-agent workflow design.
Understanding and implementation experience with A2A communication protocols.
Experience with agent orchestration tool use memory management context management and dynamic task routing.
Strong understanding of LLMs APIs enterprise data sources and AI application architectures.
Experience building scalable and production-ready AI platform components.
Preferred Qualifications
Experience developing enterprise-scale Generative AI and LLM applications.
Experience with RAG vector databases embeddings and knowledge retrieval.
Experience integrating AI agents with enterprise applications and APIs.
Knowledge of AI security governance observability and responsible AI.
Experience deploying AI/ML solutions in Microsoft Azure or other cloud environments.
Strong understanding of microservices distributed systems REST APIs and cloud-native architectures.
Excellent problem-solving communication collaboration and technical design skills.
Education
Bachelors or Masters degree in Computer Science Engineering Artificial Intelligence Data Science Information Technology or a related field preferred.
Work Location
Bellevue WA Onsite
Employment Type & Compensation
Full-Time $150000 per annum
Location: Bellevue WA Onsite
Job Type: Full-Time
Compensation: $150000/Year
Experience: 15 Years of Overall IT Experience
Experience Requirements
15 years of overall IT experience.
3 years of AI/ML experience OR
6 years of Data Engineering experience.
Strong hands-on experience with Agentic AI MCP servers multi-agent systems and enterprise AI integrations.
Job Summary
Wipro is seeking a highly experienced AI Engineer to design and develop enterprise-grade Agentic AI solutions Model Context Protocol (MCP) servers multi-agent workflows and AI platform tooling.
The ideal candidate will have hands-on experience with MCP server development tool integrations Agent-to-Agent (A2A) communication multi-agent orchestration and modern Agentic AI frameworks including LangChain LangGraph AutoGen CrewAI Semantic Kernel and Azure Agentic Framework.
This role will focus on building reusable production-ready AI components that enable LLM agents to securely access enterprise APIs data sources and services while supporting scalable observable and governed agent execution.
Key Responsibilities
Design and develop Model Context Protocol (MCP) servers and enterprise tool integrations.
Build reusable production-grade tools that expose enterprise APIs data sources and services to LLM agents.
Enable real-time context retrieval and secure action execution through MCP-based integrations.
Design and implement Agent-to-Agent (A2A) communication protocols for enterprise multi-agent systems.
Architect multi-agent workflows where specialized agents can collaborate delegate tasks exchange information and share context.
Build and manage Agentic AI solutions using LangChain LangGraph AutoGen CrewAI Semantic Kernel and Azure Agentic Framework.
Implement agent orchestration tool calling memory management context handling and dynamic task routing.
Design reusable agent components tools workflows and platform capabilities for enterprise AI applications.
Own the agentic platform tooling layer including agent lifecycle management and reusable AI services.
Ensure agent execution is reliable scalable observable secure and governed across the AI platform.
Integrate AI agents with enterprise applications APIs databases cloud platforms and external services.
Collaborate with AI/ML engineers data engineers software developers architects DevOps teams and business stakeholders.
Establish engineering best practices for Agentic AI development testing monitoring security governance and production deployment.
Required Technical Skills
15 years of overall IT experience.
3 years of AI/ML experience or 6 years of Data Engineering experience.
Strong hands-on experience developing MCP servers and MCP tool integrations.
Experience designing and implementing Agentic AI architectures.
Hands-on experience with multiple Agentic AI frameworks including:
LangChain
LangGraph
AutoGen
CrewAI
Semantic Kernel
Azure Agentic Framework
Strong experience with multi-agent workflow design.
Understanding and implementation experience with A2A communication protocols.
Experience with agent orchestration tool use memory management context management and dynamic task routing.
Strong understanding of LLMs APIs enterprise data sources and AI application architectures.
Experience building scalable and production-ready AI platform components.
Preferred Qualifications
Experience developing enterprise-scale Generative AI and LLM applications.
Experience with RAG vector databases embeddings and knowledge retrieval.
Experience integrating AI agents with enterprise applications and APIs.
Knowledge of AI security governance observability and responsible AI.
Experience deploying AI/ML solutions in Microsoft Azure or other cloud environments.
Strong understanding of microservices distributed systems REST APIs and cloud-native architectures.
Excellent problem-solving communication collaboration and technical design skills.
Education
Bachelors or Masters degree in Computer Science Engineering Artificial Intelligence Data Science Information Technology or a related field preferred.
Work Location
Bellevue WA Onsite
Employment Type & Compensation
Full-Time $150000 per annum
Required Skills:
AIDATA SCIENCEREST APISAPISARTIFICIAL INTELLIGENCE
