Artificial Intelligence Engineer

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

Required Skills & Experience

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

-Demonstrated ability to: Ramp up quickly on complex platforms Translate business requirements into technical solutions Support solutions post-deployment

-Bachelors degree required (Computer Science, Engineering, or related field)

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

-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

Nice to Have Skills & Experience

-Masters degree (Data Science, AI, or Engineering) preferred but not required

-Experience working with legal documents or contracts

-Exposure to Contract Lifecycle Management (CLM) platforms

-Familiarity with Snowflake

-Experience supporting legal, compliance, or financial services stakeholders

-Understanding of metadata modeling and taxonomy-driven systems