GCP AI Architect (Hybrid)

About the role

Hybrid role based in Cleveland, OH; Columbus, OH; Albany, NY; or Kansas City, MO.

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

• Design scalable, modular GenAI architectures for production use
• RAG (Retrieval-Augmented Generation) architectures
• Vector databases (semantic search, embeddings indexing)
• Multi-agent systems and workflow orchestration
• Low-latency inference, model routing, and fallback strategies
• Event-driven, microservices, and API-first architectures

Product Engineering & Integration

• Integrate GenAI capabilities into customer-facing and internal products
• Translate product requirements into AI-driven capabilities and technical designs
• A/B testing, feature flags, and iterative product releases involving AI

Data & Knowledge Engineering

• Data pipelines, feature engineering, and unstructured data processing
• Knowledge graphs
• Metadata-driven architectures
• Document ingestion and chunking strategies
• Data quality, provenance, and governance for AI systems

Cloud, MLOps & Platform Skills

• Cloud-native environments (GCP)
• MLOps practices: model versioning, deployment pipelines, monitoring, logging, and drift detection
• Containerization, Kubernetes, and CI/CD pipelines
• Inference optimization and cost-control strategies

Security, Privacy & Responsible AI

• AI security risks (prompt injection, data leakage, model abuse)
• Guardrails, content filters, and policy enforcement
• Responsible AI practices: explainability, bias mitigation, and compliance
• Data privacy regulations (e.g., GDPR, enterprise governance standards)

Pay

Salary range: $150,000 – $180,000, commensurate with experience and qualifications.

Benefits

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