Lead AI Engineer

Posted 2 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Biotech
The Role
Lead design and delivery of AI-enabled legal solutions by building LLM-powered agents and orchestrated multi-agent workflows integrated with CLM and enterprise systems. Drive buy vs. build decisions, architecture, secure scalable integrations, prompt and agent best practices, governance, and mentor engineering teams while partnering with Legal, Procurement, Compliance, and IT.
Summary Generated by Built In

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

Skills Required

  • 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
  • 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
  • Experience working with Contract Lifecycle Management (CLM) or legal workflow platforms
  • Familiarity with Agiloft, Eudia, ServiceNow App Engine, GEP CLM, or similar systems
  • Domain knowledge in procurement contracting, commercial and vendor contract lifecycle management, marketing compliance, or legal/regulatory affairs
  • Experience implementing AI solutions that separate intelligence layers, workflow orchestration, and systems of record

Ecolab Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ecolab and has not been reviewed or approved by Ecolab.

  • Retirement Support Feedback suggests the company provides strong retirement programs, including a 401(k) with employer matching and a pension, alongside options like an employee stock purchase plan. Offerings such as retiree healthcare benefits and diverse investment choices reinforce long-term financial support.
  • Healthcare Strength Feedback suggests medical coverage is broad, with HSA plan options and company contributions, prescription benefits, dental and vision, and virtual care and mental health support. Company-paid wellness programs and income protection (short- and long-term disability, life and accident) further strengthen core coverage.
  • Parental & Family Support Family-focused programs include fertility support, adoption assistance, and paid parental leave, complemented by counseling and resource services. These offerings are positioned as supportive of employee well-being across different life stages.

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The Company
HQ: Saint Paul, MN
29,154 Employees

What We Do

A trusted partner at nearly three million customer locations, Ecolab (ECL) is the global leader in water, hygiene and infection prevention solutions and services. With annual sales of $12 billion and more than 44,000 associates, Ecolab delivers comprehensive solutions, data-driven insights and personalized service to advance food safety, maintain clean and safe environments, optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, hospitality and industrial markets in more than 170 countries around the world. For more Ecolab news and information, visit www.ecolab.com, or follow us on twitter.com/ecolab, facebook.com/ecolab or instagram.com/ecolab_inc.

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