Forward Deployment AI Engineer

Lyra Technology Group•Columbus, OH

3d•Hybrid

About The Position

Lyra Technology Group, a platform of Evergreen Services Group, is seeking a Forward Deployed AI Engineer for its portfolio company, Accellis. This is a hands-on, client-facing engineering role where you will work directly inside clients' businesses to design, build, and deploy AI-powered solutions. You will be responsible for diagnosing inefficiencies, building trust with stakeholders, and implementing production-grade AI agents, automated workflows, and engineering solutions. This role requires a blend of technical expertise and strong communication skills, enabling you to translate complex AI concepts into clear business value for non-technical stakeholders.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
Must be legally authorized to work in the United States without employer sponsorship now or in the future.
2+ years of professional experience in software engineering, AI/ML engineering, or a technical consulting role.
Working proficiency in Python and familiarity with REST APIs and cloud services.
Hands-on experience building with LLM APIs (OpenAI, Anthropic, Gemini, or similar).
Understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and agentic workflow patterns.
Ability to work independently in ambiguous, fast-moving client environments.
Strong communication skills — you can explain a vector database to a CFO without losing them.
Willingness to travel regularly to client sites throughout the Cleveland and Columbus areas.

Nice To Haves

Experience with workflow automation platforms (Zapier, Make, n8n, or similar).
Familiarity with vector databases (Pinecone, Weaviate, Chroma) and embedding pipelines.
Exposure to low-code/no-code tools alongside custom-code solutions.
Prior client-facing, consulting, or forward-deployed engineering experience.
Experience working with SMB clients.
Legal services or law firm experience.

Responsibilities

Embed directly with clients to discover operational pain points, map workflows, and identify high-ROI opportunities for AI and automation.
Design and build AI agents using frameworks such as LangChain, LangGraph, AutoGen, or similar — including tool-use, memory, and multi-agent orchestration patterns.
Develop AI-powered workflows that integrate with clients' existing systems (CRMs, ERPs, cloud platforms, communication tools, etc.).
Engineer automation solutions across areas such as document processing, data extraction, reporting, customer communication, and internal operations.
Own the full delivery lifecycle — from scoping and architecture to build, testing, handoff, and lightweight documentation.
Train and enable client teams to maintain and iterate on solutions post-deployment.
Serve as a trusted technical advisor, translating complex AI capabilities into clear business value for non-technical stakeholders.
Contribute internally by codifying reusable components, playbooks, and delivery templates that scale across the practice.