GCP AI Architect (Hybrid)

Cognizant; Cleveland (OH); On-site; 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

GCP AI Architect (Hybrid

*this role is hybrid and can be performed from any of the following locations: Cleveland, OH; Columbus, OH; Albany, NY; or Kansas City*

Job Summary:

Core Generative AI & ML Expertise

• Strong understanding of Generative AI models (LLMs, multimodal models, embeddings).
• Hands-on experience with foundation models (e.g., GPT-style, Claude-style, LLaMA-style) and model adaptation techniques.
• Expertise in prompt engineering, prompt orchestration, and agent-based frameworks.
• Solid grounding in machine learning fundamentals, including supervised/unsupervised learning, evaluation metrics, and inference optimization.

AI Architecture & System Design

• Ability to design scalable, modular GenAI architectures for production use.
• Experience with:
  • RAG (Retrieval-Augmented Generation) architectures
  • Vector databases (semantic search, embeddings indexing)
  • Multi-agent systems and workflow orchestration
• Strong understanding of low-latency inference, model routing, and fallback strategies.
• Knowledge of event-driven, microservices, and API-first architectures.

Product Engineering & Integration

• Experience integrating GenAI capabilities into customer-facing and internal products.
• Ability to translate product requirements into AI-driven capabilities and technical designs.
• Familiarity with A/B testing, feature flags, and iterative product releases involving AI.

Data & Knowledge Engineering

• Proficiency in data pipelines, feature engineering, and unstructured data processing.
• Experience with:
  • Knowledge graphs
  • Metadata-driven architectures
  • Document ingestion and chunking strategies
• Strong understanding of data quality, provenance, and governance for AI systems.

Cloud, MLOps & Platform Skills

• Strong experience in cloud-native environments (GCP).
• Familiarity with MLOps practices, including:
  • Model versioning
  • Deployment pipelines
  • Monitoring, logging, and drift detection
• Experience with containerization, Kubernetes, and CI/CD pipelines.
• Knowledge of inference optimization and cost-control strategies.

Security, Privacy & Responsible AI

• Understanding of AI security risks (prompt injection, data leakage, model abuse).
• Experience implementing guardrails, content filters, and policy enforcement.
• Knowledge of responsible AI practices, including explainability, bias mitigation, and compliance.
• Familiarity with data privacy regulations (e.g., GDPR, enterprise governance standards).

Salary and Other Compensation:

The salary for this position is between $150,000 - $180,000k depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.