Bonus Eligibility: $8,000 annually

About Evergen:

Evergen (formerly RTI Surgical) is a global industry-leading contract development and manufacturing organization (CDMO) in regenerative medicine. As the only regenerative medicine company that offers a differentiated portfolio of allograft and xenograft biomaterials at scale, Evergen is headquartered in Alachua, FL, and has manufacturing facilities in West Lafayette, IN., Eden Prairie and Glencoe, MN., Neunkirchen, DE., Glasgow, UK., and Marton, NZ.

Read more about this change and Evergen’s commitment to advancing regenerative medicine here: https://lnkd.in/eMSfVJkM

Evergen is transforming regenerative medicine through innovation, digital technologies, and operational excellence. As part of our enterprise AI strategy, we are investing in Agentic AI, Intelligent Automation, Data Modernization, and Enterprise Knowledge Systems to accelerate decision-making, improve operational efficiency, and unlock new business value.

We are building the next generation of enterprise AI capabilities, moving beyond chatbots and copilots toward AI agents that can reason, retrieve information, orchestrate workflows, and execute tasks across business systems.

Position Summary

Evergen is seeking a highly motivated Senior Agentic AI Engineer to help design, build, and deploy enterprise AI solutions.

This is a hands-on builder role for someone who thrives in ambiguity, enjoys solving complex challenges, and can independently move from idea to production deployment.

This is not a data science or ML research role. You will not be training models, building predictive analytics, or running experiments. You will be architecting and shipping agents.

The ideal candidate combines the technical depth of an engineer, the problem-solving skills of a consultant, and the curiosity of an innovator. You should be equally comfortable facilitating a business workshop, designing solution architecture, writing Python code, integrating APIs, and deploying AI agents into production environments.

What You’ll Be Building

In this role, you will help develop:

• Agentic AI solutions that can reason, plan, collaborate, and execute complex business processes with appropriate human oversight.
• Enterprise knowledge agents that surface SOPs, policies, quality records, regulatory guidance, and institutional knowledge to improve decision-making and reduce time spent searching for information.
• AI-powered workflow assistants that automate and orchestrate end-to-end business processes across Finance, Quality, Regulatory, Operations, Supply Chain, and IT.
• Agentic document workflows: LLM extraction, structured validation, exception routing, and human sign-off.
• Copilots, AI assistants, and enterprise AI applications integrated into daily workflows to improve productivity, knowledge sharing, and user experience.
• Agents that query Snowflake, NetSuite, and SharePoint as tools to complete tasks.
• Multi-agent systems that coordinate activities across business functions, enterprise applications, and data sources to solve complex operational challenges.
• Secure, scalable AI platforms and reusable frameworks that accelerate the development, governance, and deployment of AI solutions across the enterprise.

Primary Responsibilities

Agentic AI Development

• Build agents that call tools via function calling and MCP servers to act on enterprise systems (Snowflake, NetSuite, M365, SharePoint, CRM).
• Design orchestration using an agent SDK (Claude Agent SDK, OpenAI Agents SDK, Semantic Kernel Agent Framework, or LangGraph).
• Implement RAG pipelines over SharePoint, SOPs, and quality records, including chunking, retrieval evaluation, and citation.
• Implement tracing, evals, and guardrails so agents are observable, testable, and safe in production (Azure AI Foundry, LangSmith, or equivalent).

AI Solution Engineering

• Build AI-powered applications and intelligent assistants.
• Develop scalable Python-based services and integrations.
• Create reusable AI frameworks, templates, and accelerators.
• Evaluate emerging AI technologies and recommend adoption strategies.
• Contribute to enterprise AI architecture standards.

Business Engagement & Enablement

• Partner with business stakeholders to identify high-value use cases.
• Participate in AI discovery workshops and solution ideation sessions.
• Translate business challenges into scalable technical solutions.
• Support enterpri…