Senior Agentic AI Engineer – Generative AI & RAG Architect

Insight Global; Nashville (TN); On-site; USD 180,000 - 240,000; Full time

Job summary

Insight Global is seeking a Staff Agentic AI Engineer to lead scalable Generative AI initiatives, focusing on RAG grounding, vector pipelines, and agentic capabilities. You will mentor teams and translate complex AI concepts for stakeholders, 产品 managers, and development teams.

Strong experience with Vertex AI, MCPs, and cloud-native architectures is required, along with hands-on building enterprise-grade AI solutions and collaborating across diverse ecosystems.

Qualifications

• 10+ years as Software Developer/Engineer, moved into Solutions Architecture.
• 2–3 years designing Agentic AI with RAG architectures.
• Design, extend and operationalize AI creation tools and agents.
• Secure, deploy and productionize AI agents at scale.
• Build or integrate MCPs to support robust agent–model interactions.
• Hands-on with Vertex AI, Azure AI Foundry or Foundational Models.
• Cloud-native, serverless and/or container-based architectures.

Responsibilities

• Lead the design, development, and implementation of scalable Generative AI on Google Cloud Vertex AI.
• Architect and build advanced RAG systems grounding LLMs in domain data.
• Create data pipelines for embedding data and use in vector stores.
• Develop grounding strategies and data structures connecting LLMs to real-time sources.
• Explore and implement Agentic AI concepts for autonomous systems.
• Promote Model Context Protocol to standardize LLM-tool communication.
• Collaborate with stakeholders to align requirements and deliverables.
• Mentor team members and guide work estimation and Agile execution.

Skills

Leadership

Mentoring

Collaboration

Communication

Forecasting

Tools

Vertex AI

Azure AI Foundry

Foundational Models

LangChain

Docker/Kubernetes

Vector Stores

Vertex AI Vector Search

Model Context Protocol (MCP)

Job description

Insight Global is seeking a Staff Agentic AI Engineer to lead scalable Generative AI initiatives, focusing on RAG grounding, vector pipelines, and agentic capabilities. You will mentor teams and translate complex AI concepts for stakeholders, 产品 managers, and development teams.

Strong experience with Vertex AI, MCPs, and cloud-native architectures is required, along with hands-on building enterprise-grade AI solutions and collaborating across diverse ecosystems.