Gen AI Platform Consultant
Fa Etqo Saasfaprod1 Open · verified Oct 22, 2026 At a glance
Mid-level ML Platform & Ops role at Fa Etqo Saasfaprod1. United States · full-time · no salary stated · we estimate $144,980–$225,625 across the United States.
Fa Etqo Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Design orchestration architecture for enterprise agentic AI systems and guide its implementation
- Assess and put orchestration frameworks such as Microsoft Agent Framework or LangGraph into use
- Build and oversee MCP integrations that connect enterprise source systems
- Choose frontier or smaller models according to each use case
- Run retrieval evaluations for fault codes, parts data and knowledge systems
What you bring
- You can design orchestration architecture and select frameworks such as Microsoft Agent Framework or LangGraph
- You can connect enterprise source systems through MCP and choose models for different use cases
- You can govern retrieval testing focused on accuracy and reliability
Who this fits
This role suits someone ready to shape agentic AI architecture and steer enterprise adoption. The posting describes strategic leadership, but does not specify people management.
From the employer
Core Skills
• Orchestration architecture and framework selection (Microsoft Agent Framework, LangGraph);
• MCP-based integration across 10 to 15 source systems;
• model-right strategy (frontier vs. smaller models by use case);
• owns the retrieval evaluation framework for accuracy on fault codes and parts data
Key Responsibilities:
• Design and lead orchestration architecture for enterprise-scale agentic AI solutions.
• Evaluate and implement orchestration frameworks such as Microsoft Agent Framework and LangGraph.
• Architect and manage MCP-based integrations across 10-15 enterprise source systems.
• Define and execute a model-right strategy, selecting frontier and smaller models based on specific use cases.
• Own and govern the retrieval evaluation framework to ensure accuracy and reliability of fault codes, parts data, and knowledge retrieval systems.
This is a strategic leadership role focused on shaping next-generation AI solutions and driving enterprise-scale adoption of age