GenAI Architect (GCP) — Hybrid, Scalable AI Systems

Cognizant; Cleveland (OH); Hybrid; USD 150,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Paid time off

401(k) plan

Parental Leave

Employee Stock Purchase Plan

Hybrid work model

Job summary

Cognizant is hiring a GCP AI Architect in a hybrid role that can be performed from Cleveland, OH; Columbus, OH; Albany, NY; or Kansas City. You will lead Generative AI and ML initiatives, shaping production-grade GenAI systems.

Focus areas include foundation models, prompt engineering and orchestration, RAG architectures, vector databases, multi-agent workflows, and cloud-native MLOps. Collaboration with product teams drives AI-enabled features.

Qualifications

• Experience designing GenAI architectures for production.
• Hands-on with data pipelines and unstructured data processing.
• Familiarity with A/B testing and feature flags.

Responsibilities

• Design scalable GenAI architectures and integration patterns.
• Lead model deployment, monitoring, and cost controls.
• Collaborate with product teams to translate requirements into AI capabilities.
• Ensure security, privacy, and governance in AI systems.

Skills

GenAI & ML fundamentals

Generative AI models

Foundation models adaptation

Prompt engineering

Prompt orchestration

Multi-agent systems

RAG architectures

Vector databases

Low-latency inference

API-first architectures

Tools

GPT-style models

Claude-style models

LLaMA-style models

Kubernetes

CI/CD pipelines

Containerization

embeddings indexing

Job description

Cognizant is hiring a GCP AI Architect in a hybrid role that can be performed from Cleveland, OH; Columbus, OH; Albany, NY; or Kansas City. You will lead Generative AI and ML initiatives, shaping production-grade GenAI systems.

Focus areas include foundation models, prompt engineering and orchestration, RAG architectures, vector databases, multi-agent workflows, and cloud-native MLOps. Collaboration with product teams drives AI-enabled features.