Design and implement production-grade AI agent solutions on Google Cloud Platform. Collaborate with cross-functional teams to align AI solutions with business and technical requirements. Provide technical leadership and architecture guidance.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Location-Blue Ash, OH, Cincinnati, OH, Hartford, CT, Indianapolis, IN, Phoenix, AZ, Raleigh, NC, Richardson, TX
Required Skill and Experience
• Architect and implement production-grade AI agent solutions on Google Cloud Platform (GCP), with Azure as a supporting cloud environment where required.
• Design end-to-end AI systems including:
o Agent orchestration
o Short-term memory
o Long-term memory
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o Context management
o Tool integrations
o Workflow execution
o Evaluation pipelines
• Build and standardize architecture for production-ready AI agents, ensuring scalability, resilience, security, and maintainability.
• Define and implement AI Gateway patterns for model access, routing, authentication, rate limiting, and policy enforcement.
• Design and deploy guardrails for responsible AI, safety, compliance, prompt protection, hallucination mitigation, and output validation.
• Establish tracing and observability frameworks for AI applications using GCP-native monitoring capabilities and Dynatrace.
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• Implement evaluation services for AI systems, including:
o Offline evaluation
o Online evaluation
o Model and agent performance benchmarking
o Quality and reliability measurement
• Define and implement architecture for memory systems, including short-term conversational memory and persistent long-term memory.
• Collaborate with engineering, data, product, security, and customer stakeholders to align AI solutions with business and technical requirements.
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• Lead technical discussions with different customer stakeholders, translating business needs into scalable AI architectures.
• Drive architecture decisions under aggressive timelines while maintaining delivery quality and engineering rigor.
• Ensure AI systems adhere to enterprise standards for governance, privacy, security, compliance, and operational excellence.
• Provide technical leadership, mentorship, and architecture guidance to cross-functional teams.
Preferred Skill and Experience
Experience working in onshore/offshore delivery model
Additional Required Qualifications
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
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