GenAI Architect

# GenAI ArchitectDesign and own enterprise GenAI architectures — agents, RAG, model routing, guardrails — embedded in product platforms that ship.Level: Principal / ArchitectLocation: Cleveland, Ohio (on-site)Format: Full-time## Role summaryThe GenAI Architect designs, guides, and implements enterprise-grade Generative AI solutions embedded within product platforms. This role bridges AI research, engineering, and product development — ensuring GenAI capabilities are scalable, secure, and aligned with business objectives.## Location & eligibility* **On-site in Cleveland, Ohio** (not remote).* Candidates must be a **U.S. citizen** or hold a **valid U.S. work visa / work authorization**.## What you'll do* Design and own the end-to-end architecture for GenAI-powered product features.* Guide engineering teams on best practices for GenAI development and integration.* Establish standards and patterns for prompts, agents, and inference layers.* Ensure security, compliance, and responsible AI principles are built into every solution.## Core skillset### Generative AI & ML* Strong understanding of Generative AI models (LLMs, multimodal models, embeddings).* Hands-on experience with foundation models (GPT-style, Claude-style, LLaMA-style) and model adaptation techniques.* Expertise in prompt engineering, prompt orchestration, and agent-based frameworks.* Solid grounding in ML fundamentals: supervised/unsupervised learning, evaluation metrics, inference optimization.### AI architecture & system design* Design scalable, modular GenAI architectures for production.* Experience with RAG architectures, vector databases, 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 into customer-facing and internal products.* Translate product requirements into AI-driven capabilities and technical designs.* Familiarity with A/B testing, feature flags, and iterative AI product releases.### Data & knowledge engineering* Data pipelines, feature engineering, unstructured data processing.* Knowledge graphs, metadata-driven architectures, document ingestion and chunking strategies.* Data quality, provenance, and governance for AI systems.### Cloud, MLOps & platform* Strong experience in cloud-native environments (GCP).* MLOps: model versioning, deployment pipelines, monitoring, logging, drift detection.* Containerization, Kubernetes, CI/CD.* 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: explainability, bias mitigation, compliance.* Familiarity with data privacy regulations (e.g. GDPR) and enterprise governance.## Required qualifications* 8+ years in software architecture, ML engineering, or platform engineering.* 2+ years hands-on with AI/ML systems, including Generative AI.* Strong software engineering background (Python, Java, or similar).* Prior work with enterprise AI governance or regulated industries.* Familiarity with open-source AI ecosystems.* Background in data platforms or analytics engineering.* **U.S. citizenship or valid U.S. work authorization (visa)** — on-site Cleveland, OH.## How we hireSame five steps as every Solomon role: intro chat → paid take-home → build review → leadership call → offer. #J-18808-Ljbffr