Systems Architect

At Fluor, we are proud to design and build projects and careers. We are committed to fostering a welcoming and collaborative work environment that encourages big-picture thinking, brings out the best in our employees, and helps us develop innovative solutions that contribute to building a better world together. If this sounds like a culture you would like to work in, you're invited to apply for this role.

Systems Architect (Azure AI Foundry)

We are seeking a highly experienced Systems Architect with deep expertise in Azure AI Foundry to lead the design and implementation of intelligent, scalable, and secure enterprise solutions. This role requires a strategic thinker with a strong technical foundation in AI/ML systems, cloud-native architecture, and enterprise integration. The ideal candidate will drive innovation, provide architectural leadership, and ensure alignment with business goals.

Principal Job Duties & Responsibilities

• Architect and lead the implementation of AI-powered solutions using Azure AI Foundry.
• Define and maintain the enterprise architecture roadmap with a focus on AI/ML integration.
• Collaborate with business and IT leadership to align technical strategies with organizational goals.
• Design scalable, secure, and resilient cloud-native systems on Azure.
• Establish architectural standards, governance models, and best practices.
• Evaluate and integrate emerging technologies, tools, and frameworks.
• Provide technical leadership and mentorship to development teams.
• Conduct architectural reviews and ensure adherence to design principles.
• Drive innovation through the exploration of AI, ML, and data-driven technologies.
• Ensure compliance with data privacy, cybersecurity, and regulatory standards.

Basic Job Requirements

Azure AI & Cloud Architecture

• Proven experience with Azure AI Foundry and related services (Azure Machine Learning, Cognitive Services, etc.)
• Expertise in designing and deploying AI/ML models in production environments.
• Strong understanding of GenAIOps and MLOps, model lifecycle management, and responsible AI practices.

Systems Architecture

• Extensive experience and expertise in designing multi-agent systems and integrating them into enterprise workflows.
• Strong background in high-availability, disaster recovery, and performance optimization.
• Experience leveraging Azure's model selection and cost-efficiency tools.

Development & Tooling

• Proficiency in C# .NET programming language.
• Experience with containerization (Docker) and orchestration (Kubernetes, Azure Kubernetes Service).
• Knowledge of DevOps practices and CI/CD pipelines.

Other Job Requirements
Preferred Qualifications

• Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 8+ years of relevant experience in software architecture and systems design.
• Multiple technical certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate).
• Strong communication and leadership skills.
• Experience working in regulated industries and with compliance frameworks (SOC2, HIPAA, etc.).

To Be Considered Candidates
Must be authorized to work in the country where the position is located.

We are an equal opportunity employer. All qualified individuals will receive consideration for employment without regard to race, color, age, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by governing law.

Notice To Candidates
Background checks are carried out as part of any conditional offer made, including (but not limited to & role dependent) education, professional registration, employment, references, passport verifications and Global Watchlist screening.