We are seeking a highly skilled Senior Agentic AI Engineer to design, develop, and deploy production-grade agentic AI systems on Azure cloud infrastructure. The ideal candidate will have extensive experience building autonomous AI agents, deploying complex AI solutions to production, and implementing robust CI/CD pipelines.
Key Responsibilities
- Design and develop sophisticated agentic AI systems capable of autonomous decision-making and task execution
- Architect and implement production-grade AI solutions using Azure services (Azure Functions, Azure OpenAI, Azure Cognitive Services, etc.)
- Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions for automated testing and deployment
- Develop scalable data processing workflows using Azure Databricks and Apache Spark
- Implement comprehensive testing strategies for AI applications including unit tests, integration tests, and performance testing
- Optimize AI agent performance, reliability, and cost-efficiency in production environments
- Design and implement monitoring, logging, and observability solutions for AI systems
- Mentor junior engineers and lead technical discussions on AI architecture and best practices
- Collaborate with cross-functional teams to integrate AI agents into existing systems
- Implement security best practices including managed identities, Key Vault integration, and RBAC
Required Skills & Qualifications
Technical Expertise:
- 5 to 8 years of experience in AI/ML engineering with at least 2+ years focused on agentic AI or autonomous systems
- Expert-level proficiency in Python and advanced knowledge of SQL
- Deep understanding of Azure cloud services (Azure Functions, Azure OpenAI, Azure ML, App Services, Storage, Key Vault)
- Extensive hands-on experience with Azure Databricks for large-scale data processing and ML workflows
- Proven track record of deploying and maintaining AI systems in production environments
- Strong experience building CI/CD pipelines using Azure DevOps and/or GitHub Actions
- Proficiency in containerization technologies (Docker, Kubernetes/AKS)
AI/ML Knowledge:
- Strong foundation in Machine Learning, Natural Language Processing, and Deep Learning
- Experience with large language models (LLMs) and prompt engineering
- Knowledge of multi-agent systems
- Understanding of RAG (Retrieval-Augmented Generation) architectures
- Experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn, Transformers)
Problem-Solving & Quality:
- Exceptional analytical and problem-solving skills with ability to debug complex distributed systems
- Experience designing and implementing comprehensive test suites for AI applications
- Strong understanding of software engineering best practices (clean code, design patterns, SOLID principles)
- Experience with monitoring tools (Application Insights, Log Analytics, Grafana)
Preferred Qualifications
- Azure certifications (Azure AI Engineer Associate, Azure Solutions Architect)
- Experience with microservices architecture
- Knowledge of MLOps practices and tools (MLflow, Azure ML Pipelines)
- Experience with vector databases and semantic search
Skills Required
- Requires a degree and 5-8 years experience or no degree with 9-12 years related experience
- Ability to work independently on complex projects
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.
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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.
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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.
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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.
Ecolab Insights
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.
