
Posted 7 days ago
Principal AI Architect
EcolabPrincipal AI Architect
Requirements
Bachelors Degree in Computer Science or related field, 10 years experience in architecture and AI/DS design, Expertise in GenAI and agentic workflows, Proficiency in Databricks, Snowflake, and Azure, Strong Python and API integration skills, Experience with CI/CD and containerization
Skills
Pythongenerative AIDatabricksAzureKubernetes
About the role
Responsibilities
- Define enterprise architecture across GenAI, agentic workflows, ML platforms, and data engineering ecosystems.
- Architect and implement scalable AI solutions, including agentic ecosystems and advanced pipelines, integrated with SaaS solutions.
- Evaluate and implement cost-optimized, multi-cloud technologies involving Databricks, Snowflake, and Azure.
- Elevate governance standards for security, compliance, and responsible AI/data use.
- Mentor engineering teams to foster technical excellence and architectural discipline.
- Evaluate emerging AI/data tooling and integrate reusable architectural patterns to accelerate delivery.
- Communicate AI architecture strategy and implementation to stakeholders to drive alignment and impact-based decisions.
Requirements
- Bachelor's Degree in Computer Science or a related field.
- 10 years of experience in progressive architecture and AI/DS design and engineering.
- Expertise in Enterprise Architecture, including AI + data ecosystem design and multi-agent orchestration (e.g., LangChain, LangGraph).
- Deep knowledge of AI/ML platforms, LLM APIs (OpenAI, Anthropic, etc.), transformer architectures, and RAG workflows.
- Proficiency in Data & Cloud Infrastructure, specifically Databricks (PySpark, MLflow), Snowflake, and Azure.
- Strong programming skills in Python (Transformers, PyTorch) and API integration (REST, GraphQL, gRPC).
- Experience with DevOps and delivery, including CI/CD, containerization (Docker, Kubernetes), and observability.
- Proven ability to lead technical strategy and mentor engineers in an agile environment.
Preferred Qualifications
- Exposure to multi-cloud architectures (Azure, AWS, GCP).
- Understanding of token-efficient AI consumption and FinOps tradeoffs.
- Experience with data mesh, federated AI systems, and knowledge graphs.
- Hands-on experience with MLOps orchestration tools like Kubeflow or Vertex AI.
- Familiarity with AI ethics frameworks and regulatory compliance (e.g., EU AI Act).
Benefits
- Comprehensive and market-competitive healthcare and wellness benefits.
- Time-away policies to support work-life balance.
- Financial well-being support, including short- and long-term financial incentives and retirement planning.
About the Company
Ecolab is the global leader in water, hygiene, and infection prevention solutions and services. With annual sales of $13 billion, Ecolab delivers data-driven insights and personalized service to advance food safety, maintain clean environments, and optimize water and energy use for customers in over 170 countries.
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Ecolab Β· Naperville
