Pay Rate Range: $ 64.39 - 65.90/hr.Role: AI/Agentic Solutions Engineer
Job Description:
Senior AI/ML Engineer
Key Responsibilities:
Bring up and stabilize MCP connectivity by coordinating with development teams, troubleshooting issues, and analyzing/debugging logs.
Design and implement solutions for CIF/Denial data ingestion from multiple source systems, ensuring scalable and efficient data integration.
Build and manage data pipelines across multiple environments, including provisioning dedicated VMs, configuring infrastructure, and automating data movement processes.
Develop and enhance RAG/MCP-based AI solutions and orchestrate end-to-end workflows for enterprise use cases.
Collaborate with stakeholders on architecture, solution design, deployment, and operationalization of AI-driven platforms.
Required Skills:
AI Agent/Agentic Workflow Development and Agent Creation
Strong Python Programming
MCP and RAG Pipeline Development
Workflow and Process Orchestration
Solution Architecture and Design
MongoDB Development and Data Management
Azure Cloud Services and Infrastructure
Data Integration and ETL Pipeline Development
Debugging, Troubleshooting, and Log Analysis
Skills: Agile Way of Working~Digital : Mongo DB~Digital : Azure Machine Learning (ML)~AI Agents
Experience Required: 10 & Above
| Skills: | | Category | Name | Required | Importance | Experience |
|---|
| SkillCategoryTest1_MN | Agile Way of Working | Yes | 1 | >7 years | | | SkillCategoryTest1_MN | AI Agents | Yes | 1 | >7 years | | | SkillCategoryTest1_MN | Digital : Azure Machine Learning (ML) | Yes | 1 | >7 years | | | SkillCategoryTest1_MN | Digital : Mongo DB | Yes | 1 | >7 years | |
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