Lead AI Engineer
At a glance
Senior AI Engineering role at Ecolab. Bangalore · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Design legal AI workflows from request intake through contract execution and post-signature analysis
- Build agents for contract review, clause extraction, summaries, risk detection and compliance checks
- Connect coordinated AI agents with CLM platforms and enterprise workflows, keeping CLM as the record of authority
- Make build-versus-buy calls, estimate delivery effort and weigh integration complexity and total cost
- Set practices for agent design, testing and oversight, while guiding engineers and working with legal, procurement, compliance and IT
What you bring
- A bachelor's degree in computer science, engineering, data science or a related discipline
- At least six years delivering production software or AI systems, with hands-on LLM applications and agent workflows
- Strong Python and API integration skills, plus experience connecting enterprise systems into complete workflows
- You can make architecture and delivery tradeoffs in complex organizations and communicate with technical and non-technical partners
Who this fits
This senior technical leadership role suits an engineer who can design and deliver production AI systems while mentoring other engineers. The position is based in Bangalore, India.
From the employer
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