Jobs · Engineering · Minnesota

AI Solution Architect

Ecolab · St Paul, MN · Yesterday
Engineering$154k–$231k/yrFull-time

Solution Architecture & Technical Leadership

  • Arcitect end-to-end AI enabled legal solutions spanning intake, contract lifecycle management, compliance workflows, legal operations, document intelligence, and post signature insights.
  • Translate business challenges into scalable technical architectures, including application design, workflow orchestration, integration patterns, data flows, security controls, AI services, and deployment models.
  • Define solution blueprints, reference architectures, reusable design patterns, and technical standards for Legal AI initiatives.
  • Lead architecture reviews and technical decision making across legal technology platforms, enterprise systems, and AI capabilities.
  • Drive technology strategy and roadmap recommendations for legal workflow automation and AI enabled legal operations.

AI Solution Design & Delivery

  • Design and deliver production ready AI agents, copilots, orchestration services, APIs, and automation solutions that solve legal business challenges.
  • Develop AI enabled capabilities supporting contract analysis, clause extraction, obligation tracking, document summarization, compliance validation, legal intake, risk identification, and workflow acceleration.
  • Design and implement agentic and multi-agent architectures that integrate intelligence services into governed legal workflows.
  • Evaluate evaluation frameworks, monitoring patterns, observability standards, and performance metrics to ensure reliable AI solution operation.
  • Lead architecture decisions regarding model selection, orchestration approaches, retrieval strategies, and enterprise AI integration patterns.

Enterprise Integration & Platform Architecture

  • Design secure, scalable integrations between AI capabilities, CLM platforms, workflow tools, enterprise applications, and systems of record.
  • Define integration patterns that maintain proper separation between: AI reasoning and intelligence layers, workflow orchestration platforms, business applications, data services, and systems of record.
  • Ensure legal systems retain authoritative ownership of records, approvals, contracts, and compliance workflows while AI capabilities augment decision making and productivity.
  • Collaborate with enterprise architecture, platform engineering, and security teams to establish scalable solution patterns.

Buy vs. Build & Vendor Evaluation

  • Lead buy versus build assessments for Legal AI capabilities and workflow solutions.
  • Evaluate vendors, platforms, and emerging technologies against business requirements, integration complexity, risk, security, scalability, and total cost of ownership considerations.
  • Provide technical due diligence, architecture recommendations, implementation estimates, and adoption strategies for legal technology investments.
  • Partner with vendors and implementation teams to ensure solutions align with enterprise architecture standards.

Governance, Security & Responsible AI

  • Establish architecture standards supporting Responsible AI, security, privacy, regulatory compliance, auditability, and enterprise governance requirements.
  • Design controls and guardrails that ensure AI solutions operate safely within regulated legal and compliance processes.
  • Partner with Security, Risk, Compliance, and Legal stakeholders to incorporate governance requirements into solution designs.
  • Ensure solutions meet enterprise standards for data protection, access control, monitoring, resiliency, and operational support.

Technical Leadership & Team Enablement

  • Provide architecture leadership, technical mentorship, and implementation guidance to engineers, data scientists, and solution teams.
  • Lead technical design reviews and establish engineering best practices for AI development and deployment.
  • Drive adoption of reusable components, reference implementations, and enterprise solution standards.
  • Influence cross-functional teams through technical expertise, strategic thinking, and collaborative leadership.
  • Serve as the primary technical authority for Legal AI architecture and solution design.

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