Job description

Ecolab Digital is seeking a commercial solution focused Principal AI Architect to scale the value of AI / DS intelligence to deliver unique offerings for customers via digital software solutions with embedded AI. In this role, you will collaborate with the AI development teams, E2E solution architects, and technical engineering owners to design AI architecture within the larger solution architecture. You will own the strategic advancement of the AI tech stack and understand industry changes and opportunities to maximize solution design. You will partner with AI development teams to review adherence and navigate new solution challenges through the development process. This role is aligned with a dynamic team at the forefront of technological innovation creating cutting-edge AI for intelligent solutions that transform how our customers operate for enhanced efficiency and sustainability. Position Details The desired location for this role is either Naperville, IL or St. Paul, MN with a hybrid schedule. Travel: Up to 10% of the time. What you will do Define enterprise architecture across GenAI, agentic workflows, ML platforms, and data engineering ecosystems. Serve as a technical voice in leadership discussions, influencing strategy and navigating organizational challenges. Architect and implement scalable AI solutions including agentic ecosystems, advanced pipelines, and AI model integrations with larger end-to-end SAAS solutions. Evaluate and understand technologies that meet needs in support of cost optimized, multi-cloud solutions including aspects of Databricks, Snowflake, Azure and beyond. Elevate governance standards covering security, compliance, and responsible AI/data use. Mentor engineering teams, fostering autonomy, technical excellence, and architectural discipline. Evaluate emerging AI/data tooling and integrate reusable architectural patterns to accelerate delivery. Ensure alignment of architecture with business goals, scalability requirements, and innovation roadmaps. Provide clear, consistent communication and presentation to various stakeholders related to AI architecture strategy and implementation to drive alignment, education and impact-based decisions Work within an agile global resource model, planning for and delivering against initiatives Minimum Qualifications Bachelors Degree in Computer Science or related field and 10 years of experience in progressive architecture and AI/DS design and engineering Enterprise Architecture: AI data ecosystem design, multi-agent orchestration (LangChain, LangGraph, Haystack), enterprise-wide AI/ML standards. AI/ML Platforms: LLM APIs (OpenAI, Hugging Face, Anthropic, MosaicML), transformer architectures, RAG workflows, LLMOps frameworks (prompt lifecycle, monitoring). LLMOps frameworks (prompt lifecycle, monitoring, context engineering, harness engineering). Data & Cloud Infrastructure: Databricks (Delta Lake, Spark SQL, PySpark, MLflow), Snowflake (enterprise-scale warehousing), Azure (AKS, Synapse, EventHub, Logic Apps). Programming & Integration: Python (Transformers, LangChain, PyTorch), API integration (REST, GraphQL, gRPC), microservices/event-driven systems. Governance & Security: Responsible AI frameworks, privacy/compliance, OAuth2, JWT, TLS, RBAC. DevOps & Delivery: CI/CD (Azure DevOps, GitHub Actions), containerization (Docker, Kubernetes), observability (Prometheus, Grafana, ELK stack). Leadership & Strategy: Influence technical strategy, mentor engineers, simplify complex concepts for diverse stakeholders. Ability to thrive in an ambiguous environment, embracing change and utilizing proven reasoning in balancing practical business needs and architectural rigor No immigration sponsorship is available for this role at this time. Preferred Qualifications Exposure to multi-cloud architectures (Azure, AWS, GCP). Strong understanding of token-efficient AI consumption with an ability to surface FinOps tradeoffs Experience with data mesh and federated AI systems. Familiarity with knowledge graphs and semantic search. Hands-on with MLOps orchestration tools (Kubeflow, MLflow, Vertex AI). Understanding of edge AI deployment and IoT integration. Experience in enterprise architecture frameworks (TOGAF, Zachman). Knowledge of AI ethics frameworks and regulatory compliance (EU AI Act, ISO standards). Demonstrated interconnected disciplinary knowledge of digital solution development Annual or Hourly Compensation Range The base salary range for this position is $166,300.00 - $249,600.00. This position is eligible for annual bonus pay based on performance, per plan terms. Many factors are taken into consideration when determining compensation, such as experience, education, training, geography, etc. We comply with all minimum wage and overtime laws. Benefits Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families. Click here to see our benefits. If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here. Potential Customer Requirements Notice To meet customer requirements and comply with local or state regulations, applicants for certain customer-facing roles may need to: - Undergo additional background screens and/or drug/alcohol testing for customer credentialing. Americans with Disabilities Act (ADA) Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website.

Requirements

Must-haves

Position Details
The desired location for this role is either Naperville, IL or St. Paul, MN with a hybrid schedule.
Travel: Up to 10% of the time.
Define enterprise architecture across GenAI, agentic workflows, ML platforms, and data engineering ecosystems.
Serve as a technical voice in leadership discussions, influencing strategy and navigating organizational challenges.
Architect and implement scalable AI solutions including agentic ecosystems, advanced pipelines, and AI model integrations with larger end-to-end SAAS solutions.
Evaluate and understand technologies that meet needs in support of cost optimized, multi-cloud solutions including aspects of Databricks, Snowflake, Azure and beyond.
Elevate governance standards covering security, compliance, and responsible AI/data use.
Mentor engineering teams, fostering autonomy, technical excellence, and architectural discipline.
Evaluate emerging AI/data tooling and integrate reusable architectural patterns to accelerate delivery.
Ensure alignment of architecture with business goals, scalability requirements, and innovation roadmaps.
Provide clear, consistent communication and presentation to various stakeholders related to AI architecture strategy and implementation to drive alignment, education and impact-based decisions
Work within an agile global resource model, planning for and delivering against initiatives
Bachelors Degree in Computer Science or related field and 10 years of experience in progressive architecture and AI/DS design and engineering

Nice-to-haves

Exposure to multi-cloud architectures (Azure, AWS, GCP).
Strong understanding of token-efficient AI consumption with an ability to surface FinOps tradeoffs
Experience with data mesh and federated AI systems.
Familiarity with knowledge graphs and semantic search.
Hands-on with MLOps orchestration tools (Kubeflow, MLflow, Vertex AI).
Understanding of edge AI deployment and IoT integration.
Experience in enterprise architecture frameworks (TOGAF, Zachman).
Knowledge of AI ethics frameworks and regulatory compliance (EU AI Act, ISO standards).
Demonstrated interconnected disciplinary knowledge of digital solution development
Annual or Hourly Compensation Range

Application prep

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Keywords to mirror

aimlazureagilellmsqlpythonapirestgraphqlci/cddockerkubernetesawsgcp

Platform: workday
Effort: long