Senior Agentic AI Software Engineer

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

Job Description

The Staff Agentic AI Engineer will provide crucial engineering leadership in the application of advanced Generative AI, supporting the revolutionization of healthcare by designing and implementing cutting-edge AI solutions. The Staff Agentic AI Engineer will be instrumental in developing systems that leverage Generative AI, particularly with GCP Vertex AI, Gemini, and related tooling, to create transformative products for users across the company's ecosystem. This role will focus on practical applications of AI, including Retrieval-Augmented Generation (RAG), the design of sophisticated grounding data structures, and the construction of robust pipelines for grounding and embedding.

This position is within a flagship innovation team. The Staff Agentic AI Engineer should be a curious, adaptable, and forward-thinking engineer, comfortable navigating diverse technical ecosystems. The Staff Agentic AI Engineer will provide technical mentorship and foster a collaborative environment, translating complex AI concepts into actionable strategies for business stakeholders, product managers, and development teams.

• Lead the design, development, and implementation of scalable, enterprise-grade Generative AI solutions on the Google Cloud Platform, with a strong focus on the Vertex AI suite.
• Architect and build sophisticated Retrieval-Augmented Generation (RAG) systems to ground large language models in the company's proprietary and domain-specific data, ensuring response accuracy and relevance
• Design and implement efficient data pipelines for preparing, processing, and embedding data for use in Vector Stores like Vertex AI Vector Search
• Develop and apply innovative data grounding strategies and design the necessary data structures to connect LLMs with real-world, real-time information sources
• Spearhead the exploration and implementation of Agentic AI concepts to create autonomous systems capable of complex reasoning and task execution.
• Champion and integrate the Model Context Protocol to standardize communication between LLMs and external tools, enhancing system capabilities and interoperability.
• Promote a collaborative team environment and work closely with colleagues to achieve business objectives.
• Collaborate with stakeholders (e.g., business stakeholders, product owners, project managers, and end users) to understand functional and non-functional requirements for AI systems.
• Lead investigations and solution proposals for complex development and design problems in the AI domain.
• Guide team members in the scope of work estimation and forecasting for AI-related projects.
• Perform proof-of-concept and proof-of-technology tasks to secure buy-in from cohorts and stakeholders for new AI initiatives.
• Collaborate with team members to successfully execute development initiatives using Agile practices and principles.

Skills and Requirements

• 10+ years of experience as a Software Developer or Engineer, moved into Solutions Architecture (Not Data Engineer)
• Recent 2-3 years understanding and practical experience in designing and building Agentic AI - Retrieval-Augmented Generation (RAG) architectures (NOT ML/Ops Models)
• Design, extend, and operationalize AI creation tools and intelligent agents leveraging advanced models.
• Secure, deploy, and productionize AI agents to ensure scalability, reliability, and compliance.
• Build or integrate Model Context Protocols (MCP) to support robust agent–model interactions. Develop agentic capabilities tailored to specific use cases, workflows, and functional requirements.
• Hands‑on experience with Google Cloud Platform Vertex AI, or Azure AI Foundry, or Foundational Models
• Experience building cloud-native solutions using serverless and/or container-based architecture
• Full-stack working experience with Pyton, Java, C#, Node.js, SQL/NoSQL database, ETL/data pipelines, messaging queues/event streaming, docker/Kubernetes, microservices – Need at least 4 to proceed
• Delivered Generative AI applications into production at scale in a customer-facing or enterprise environment
• Built or supported data pipelines for embedding and vector stores
• Designed and implemented Retrieval – Augmented Generation Systems
• Designed grounding strategies or data structure to connect LLMs with enterprise or real time information sources
• Familiarity with Agentic AI concepts and frameworks (e.g., LangChain) for building autonomous and multi‑agent systems

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].