Lead Agentic AI Engineer

Job Description

We're looking for an AI Agentic Engineer to build and productionize LLM-powered, tool-using agents that automate multi-step business workflows. You'll partner with data and platform teams to ensure agents are grounded in high-quality enterprise data via Azure Data Factory (ADF) pipelines and are reliable in production through strong observability, evaluation, and CI/CD practices. We are seeking a Senior Agentic AI Engineer to help scale and productionize an AI-driven solution that ingests, analyzes, and structures large volumes of unstructured commercial contracts. This role will focus on taking an existing proof of concept (POC) and evolving it into a secure, enterprise-grade, production system that integrates with a Contract Lifecycle Management (CLM) platform.

The ideal candidate brings strong LLM and agentic AI experience, works comfortably in Databricks, and has prior exposure to legal or contract-based domains. You will work closely with business, legal, and platform teams and play a key role in ensuring long-term maintainability and successful handoff to support teams. Your responsibilities will include:

-Productionize an existing AI-based contract ingestion POC into a scalable enterprise solution

-Design and implement agentic AI workflows to:

--Identify contract types

--Extract and normalize contract metadata

--Validate signatures, parties, and effective dates

-Build logic to process contracts at scale (batch ingestion vs. single-file uploads)

-Map extracted metadata to an evolving enterprise taxonomy

-Integrate contract outputs into a downstream Contract Lifecycle Management (CLM) system

-Work within secure environments accessing sensitive commercial contract data

-Collaborate with legal, business, and technical stakeholders to ensure accuracy and compliance

-Improve reliability, monitoring, and supportability of AI workflows

-Support knowledge transfer and handoff to long-term support teams

-Contribute to architectural decisions and best practices for agentic AI solutions

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 opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their 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 recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

-8+ years of overall IT or software engineering experience (for lead-level candidates)

• Former experience being involved from Proof of Concept to production (end to end -- full cycle)

Demonstrated ability to:

Ramp up quickly on complex platforms

Translate business requirements into technical solutions

Support solutions post-deployment

Create an agent that is able to do that task in full, not an agent that just handles documentation or document upload to a RAG system/chatbot

-Bachelor's degree required (Computer Science, Engineering, or related field)

-Strong experience (lead-level) with Agentic AI / LLM-based systems

• Strong experience with Azure functionalities and app services

-Hands-on experience with Databricks

-Proficiency in Python

-Experience integrating LLMs (OpenAI GPT and/or Anthropic Claude) into production systems

-Familiarity with structured and unstructured data processing

-Experience deploying AI solutions in enterprise or regulated environments -Master's degree (Data Science, AI, or Engineering) preferred but not required

-Experience working with legal documents or contracts

-Experience supporting legal, compliance, or financial services stakeholders

-Understanding of metadata modeling and taxonomy-driven systems