Job Summary
As a Lead AI Engineer, you will own the design, delivery, and evolution of AI enabled legal solutions that support contract and compliance driven workflows across the enterprise. This role focuses on building and orchestrating agent based AI systems that integrate with Contract Lifecycle Management (CLM) platforms and enterprise workflow tools to ensure AI is embedded into governed, auditable legal processes.
You will lead end‑to‑end solution design from intake through execution and post signature intelligence while making informed buy vs. build decisions, providing delivery estimation, and implementing scalable, secure AI solution architecture. This role requires close partnership with Legal, Procurement, Compliance, and IT, to deliver AI solutions that accelerate legal operations while maintaining regulatory and risk controls.
Key Responsibilities
Lead design and implementation of end‑to‑end Legal AI workflows, including intake, orchestration, execution, and post signature intelligence
Evaluate and execute buy vs. build decisions for Legal AI capabilities, including delivery estimation, integration complexity, and total cost of ownership
Design and build custom AI agents to support legal use cases such as contract analysis, clause extraction, summarization, risk identification, and compliance validation
Implement orchestrated, multi‑agent systems that integrate AI services with CLM platforms and enterprise workflows
Architect and maintain secure, scalable integrations between AI systems and legal platforms, ensuring CLM remains the authoritative system of record
Establish engineering best practices for prompt design, agent orchestration, evaluation, monitoring, and AI governance in legal contexts
Collaborate closely with Legal, Procurement, Compliance, and IT stakeholders to translate legal requirements into durable AI solutions
Provide technical leadership and mentorship to engineers contributing to Legal AI initiatives
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
6–10+ years of experience designing and delivering software or AI enabled systems in production environments
Strong experience building LLM powered applications, agentic workflows, and AI driven services
Proven ability to design end-to‑end enterprise workflows, including integrations with multiple business systems
Strong programming experience in Python and API based integration development
Experience leveraging AI assisted development tools (e.g., Claude Code or similar) to accelerate agent development, integration, and iterative refinement
Demonstrated experience making architecture and delivery tradeoff decisions in complex enterprise environments
Strong communication skills with the ability to engage technical and non‑technical stakeholders
Preferred Qualifications
Experience working with Contract Lifecycle Management (CLM) or legal workflow platforms
Familiarity with legal or enterprise platforms such as Agiloft, Eudia, ServiceNow App Engine, GEP CLM, or similar systems
Domain knowledge in any of the following areas:
Procurement contracting
Commercial and vendor contract lifecycle management
Marketing compliance
Legal or regulatory affairs
Experience implementing AI solutions that clearly separate intelligence layers, workflow orchestration, and systems of record
Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.
