Senior AI Systems Engineer

As a Senior AI Systems Engineer you will design and build production-grade AI systems that integrate AI models automation platforms enterprise data and workflow orchestration into cohesive scalable solutions. You will translate architectural direction into working systems that embed reusable intelligence capabilities across business processes.

This role sits within the Operational AI organization which focuses on embedding AI capabilities into core enterprise workflows. You will design and integrate AI-enabled components within established reference architectures and governance standards ensuring solutions align with enterprise data context semantic consistency and responsible automation principles.

The focus of this role is on engineering and operating production AI systems including backend services orchestration layers and enterprise integrationsnot on research or experimental model development.

This position will offer flexibility for hybrid work schedules to include both in-office presence and telecommute/virtual work to be based from either Houston or Dallas TX.

Key Responsibilities

• Design and implement end-to-end AI-enabled workflows that integrate LLMs machine learning services document understanding tools and automation platforms into production-ready enterprise solutions
• Develop orchestration layers that clearly separate decision logic from execution enabling modular and reusable intelligence capabilities
• Build backend services APIs and event-driven integrations that expose AI capabilities across multiple enterprise systems
• Partner with enterprise data teams to ensure AI systems align with canonical data models shared definitions and governed semantic layers
• Process and structure structured and unstructured inputs into validated traceable and policy-compliant data representations for use by AI systems
• Design and implement feature engineering pipelines and contextual enrichment patterns to support operational AI use cases
• Integrate AI services into enterprise workflow and automation platforms while adhering to DevSecOps and enterprise security standards
• Embed explainability traceability monitoring and observability into AI-enabled systems
• Contribute to drift detection performance monitoring and responsible AI lifecycle management
• Evaluate and communicate technical trade-offs related to integration complexity data alignment performance and operational reliability

Qualifications :

Minimum Qualifications

• Bachelors Degree plus at least 6 years of software engineering experience including 2 years of delivering AI/ML-enabled solutions in production environments or demonstrated equivalent experience and education
• Strong backend engineering foundation in Python Java or similar languages
• Hands-on experience integrating LLMs ML services or AI APIs into enterprise systems
• Experience building APIs service-oriented architectures and event-driven integrations
• Solid data engineering experience including schema design transformation pipelines and handling of structured and unstructured data
• Experience working with enterprise data platforms and shared data models
• Experience deploying cloud-native solutions in AWS Azure or similar environments
• Deep understanding of production readiness including versioning observability security controls and system monitoring

Preferred Qualifications

• Bachelors degree in computer science Engineering or a related field
• Experience aligning AI systems with enterprise semantic models and governance frameworks
• Experience designing reusable AI components rather than isolated AI features
• Experience operationalizing retrieval-augmented AI (RAG) systems with governance considerations
• Experience implementing configurable policy-driven decision systems
• Experience integrating AI capabilities into enterprise workflow or automation platforms
• Experience collaborating closely with solution architects platform engineering teams and data science teams
• Experience productionizing machine learning or AI models within enterprise systems
• Experience using AI-assisted development tools (e.g. Claude Code GitHub Copilot Cursor or similar coding assistants) to accelerate development debugging and system implementation workflows.

Additional Information :

• Relocation assistance is not available for this position
• Sponsorship for US work authorization is not available for this position now or in the future.

About AECOM 

AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status AECOM benefits may include medical dental vision life AD&D disability benefits paid time off leaves of absences voluntary benefits perks flexible work options well-being resources employee assistance program business travel insurance service recognition awards retirement savings plan and employee stock purchase plan. 

AECOM is the global infrastructure leader committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities we solve our clients complex challenges in water environment energy transportation and buildings. Our teams partner with public- and private-sector clients to create innovative sustainable and resilient solutions throughout the project lifecycle from advisory planning design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at . 

What makes AECOM a great place to work 

You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts youll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills helping you build the career youve always envisioned. Here youll find a welcoming workplace built on respect collaboration and communitywhere you have the freedom to grow in a world of opportunity. 

As an Equal Opportunity Employer we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines. 

Remote Work :

No

Employment Type :

Full-time