As a Senior AI Solutions Engineer, you will design and build production-grade AI solutions that integrate AI models, automation platforms, enterprise data, and workflow orchestration into cohesive, scalable systems. You will translate architectural direction into working solutions 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 solutions, including backend services, orchestration layers, and enterprise integrations—not 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<ul><li>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</li><li>Develop orchestration layers that clearly separate decision logic from execution, enabling modular and reusable intelligence capabilities</li><li>Build backend services, APIs, and event-driven integrations that expose AI capabilities across multiple enterprise systems</li><li>Partner with enterprise data teams to ensure AI solutions align with canonical data models, shared definitions, and governed semantic layers</li><li>Process and structure structured and unstructured inputs into validated, traceable, and policy-compliant data representations for use by AI systems</li><li>Design and implement feature engineering pipelines and contextual enrichment patterns to support operational AI use cases</li><li>Integrate AI services into enterprise workflow and automation platforms while adhering to DevSecOps and enterprise security standards</li><li>Embed explainability, traceability, monitoring, and observability into AI-enabled solutions</li><li>Contribute to drift detection, performance monitoring, and responsible AI lifecycle management</li><li>Evaluate and communicate technical trade-offs related to integration complexity, data alignment, performance, and operational reliability</li></ul>

AECOM is the world&rsquo;s trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle &ndash; from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $14.4 billion in fiscal year 2023. See how we are delivering sustainable legacies for generations to come at aecom.com and @AECOM.

Senior AI Solutions Engineer

As a Senior AI Solutions Engineer, you will design and build production-grade AI solutions that integrate AI models, automation platforms, enterprise data, and workflow orchestration into cohesive, scalable systems. You will translate architectural direction into working solutions 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 solutions, including backend services, orchestration layers, and enterprise integrations—not 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<ul><li>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</li><li>Develop orchestration layers that clearly separate decision logic from execution, enabling modular and reusable intelligence capabilities</li><li>Build backend services, APIs, and event-driven integrations that expose AI capabilities across multiple enterprise systems</li><li>Partner with enterprise data teams to ensure AI solutions align with canonical data models, shared definitions, and governed semantic layers</li><li>Process and structure structured and unstructured inputs into validated, traceable, and policy-compliant data representations for use by AI systems</li><li>Design and implement feature engineering pipelines and contextual enrichment patterns to support operational AI use cases</li><li>Integrate AI services into enterprise workflow and automation platforms while adhering to DevSecOps and enterprise security standards</li><li>Embed explainability, traceability, monitoring, and observability into AI-enabled solutions</li><li>Contribute to drift detection, performance monitoring, and responsible AI lifecycle management</li><li>Evaluate and communicate technical trade-offs related to integration complexity, data alignment, performance, and operational reliability</li></ul>

Senior AI Solutions Engineer

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About the Company

AECOM

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