Sr. AI Solutions Engineer

At GXO, we’re constantly looking for talented individuals at all levelswho can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at workand the resources to build a career you can be proud of.

Are you ready to help shape the future of enterprise AI at a rapidly growing global company? As an AI Solutions Engineer, you will be responsible for designing, building, and implementing AI-powered solutions that automate and enhance business processes across HR, Finance, Sales, and other enterprise functions. You'll leverage large language models (LLMs), orchestration frameworks, and Google Cloud Platform (GCP) technologies to deliver scalable, secure, and production-ready AI applications.

If you're excited about solving complex business challenges with cutting-edge AI, join us at GXO.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental, and vision), 401(k), life insurance, disability coverage, and more.

• Design, build, configure, and enhance AI-powered applications, workflows, and automations using LLMs, orchestration frameworks (such as ADK or Lang Chain), and Google Cloud Platform services
• Translate business processes into scalable AI solutions by integrating large language models, APIs, and enterprise systems
• Develop, test, troubleshoot, and deploy AI solutions through prototype, testing, and production readiness
• Integrate AI applications with enterprise platforms such as HRIS, CRM, ERP, finance systems, and document management solutions
• Implement human-in-the-loop workflows, validation checkpoints, and escalation paths to ensure responsible and auditable AI usage
• Collaborate with Product, Deployment, PMO, Architecture, Security, Data, and AI Platform teams to deliver enterprise AI initiatives
• Identify and mitigate AI-related risks, including hallucinations, data sensitivity, bias, and inappropriate automation
• Create reusable implementation patterns, documentation, and engineering standards to improve delivery consistency
• Support testing, deployment, integration, and continuous improvement of AI solutions across the enterprise
• Ensure solutions align with enterprise architecture, security, governance, and Responsible AI standards

At a minimum, you’ll need

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience
• Experience designing, building, configuring, or integrating enterprise technology solutions in complex environments
• Experience working with large language models (LLMs) or generative AI technologies, including prompt engineering and AI workflow development
• Experience building AI-driven workflows or agentic systems using orchestration frameworks such as ADK, Lang Chain, or similar technologies
• Strong programming experience with Python for developing, integrating, testing, and deploying enterprise solutions
• Hands-on experience with Google Cloud Platform (GCP), including services such as Vertex AI, Cloud Run, Big Query, and related cloud-native technologies
• Experience integrating APIs and enterprise platforms such as HRIS, CRM, ERP, finance, or document management systems
• Understanding of software development lifecycle (SDLC), Agile methodologies, and cross-functional delivery practices
• Experience implementing secure, scalable, and production-ready AI applications
• Strong written and verbal communication skills with the ability to collaborate across technical and business teams
• Ability to…