Senior AI Architect

NeerInfo Solutions United State
Visa Sponsorship Relocation
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AI Summary

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
Design end-to-end AI systems
Implement AI Gateway patterns
Establish tracing and observability frameworks
Key Responsibilities
Build and standardize architecture for production-ready AI agents
Define and implement AI Gateway patterns
Establish tracing and observability frameworks
Technical Skills Required
Google Cloud Platform Azure AI agent solutions Agent orchestration Short-term memory Long-term memory Context management Tool integration Workflow execution Evaluation pipelines Dynatrace
Benefits & Perks
Relocation package provided
Visa sponsorship available
Nice to Have
Experience working in onshore/offshore delivery model

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

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.

• 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.

• 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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