Agentic AI Engineer

Insight Global; Brookhaven (GA); On-site; USD 140,000 - 170,000; Full time

Job summary

Insight Global is seeking an Agentic AI/ML Engineer to build, deploy, and operate production AI and ML systems for pediatric health. You will own end-to-end delivery of predictive models, generative AI, and workflow agents in a regulated healthcare environment.

Working with data scientists, clinical informaticists, and EHR teams, you will move solutions from prototype to production, define enterprise AI patterns, and establish guardrails, monitoring, and secure integrations.

Qualifications

• 3+ years in ML engineering, data science or data engineering.
• 2+ years implementing ML in production or applying SDLC to analytics.
• Hands-on with LLM/agentic applications in production or pilot settings.

Responsibilities

• Lead production AI/ML delivery and incident response.
• Collaborate with data scientists and EHR teams to productionize models.
• Define enterprise AI patterns for tools, retrieval, and governance.

Skills

ML/DS/DE experience

Production ML

LLM/Agentic apps

LangGraph

LangChain

Semantic Kernel

Azure Foundry

OpenAI APIs

Tools

LangGraph

LangChain

Semantic Kernel

Azure Foundry

OpenAI APIs

Job description

The Agentic AI / ML Engineer builds, deploys, and operates production AI and machine learning systems for clinical and operational use across the pediatric health system. The role spans both predictive machine learning (ML) models and generative and agentic AI — LLM-based applications, RAG, copilots, and workflow agents — and owns the evaluation, guardrail, and monitoring frameworks that make these systems safe and reliable to run in a regulated environment. Working closely with data scientists, clinical informaticists, and EHR/application teams, this role moves solutions from prototype into production and serves as a technical lead for agentic AI/ML delivery — setting the standards other engineers and data scientists build against, and leading incident response for production systems.

The role also helps define enterprise AI system patterns for integrating foundation models into production applications, including tool/function calling, retrieval over enterprise knowledge, permission-aware responses, system handoffs, conversation/session management, and reusable configuration patterns for AI-enabled workflows.

REQUIRED SKILLS AND EXPERIENCE

• 3 years of experience in a Machine Learning Engineering, Data Science or Data Engineering role
• 2 year of experience in implementing machine learning algorithms in a production environment or applying software development lifecycle principles to analytics
• Hands-on experience designing, building, or integrating LLM-based or agentic applications (e.g., LLM-based applications, RAG systems, or tool-using agents) in a production or pilot setting, including retrieval over enterprise knowledge, tool/function calling, workflow handoffs, and secure integration with enterprise systems.

NICE TO HAVE SKILLS AND EXPERIENCE

• Experience building agentic or LLM applications using orchestration frameworks (e.g., LangGraph, LangChain, Semantic Kernel) and Azure Foundry and OpenAI / OpenAI APIs
• Experience engineering AI-enabled applications or services that integrate APIs, backend services, authentication/authorization, enterprise identity, user-facing interfaces, and platform services in a secure production environment.
• Experience making generative/agentic systems safe for regulated use: evaluation harnesses and guardrails (e.g. evaluation harnesses, safety filtering, , permission-aware responses, identity verification, session isolation, and auditable configuration patterns).
• Experience with vector stores / embeddings and RAG pipelines for domain-specific applications
• Experience working with healthcare data (payer or provider) in a HIPAA-regulated environment
• Epic certification or badges (e.g., Cogito, Cognitive Computing Platform, Chronicles, Interconnect) Azure certifications (e.g., AI Engineer Associate, AI Fundamentals, Data Science, or Data Engineering)