Principal AI Architect

🕒 July 27

🌽 Illinois – Remote

🌽 Illinois – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 59%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Paradigm

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1991

☁️ SaaS

🔥 Funding within the last year

💰 Private equity on 2025-08

SaaS

Paradigm is a company whose publicly accessible web application returned only the message: "Loading application... Your web browser must have JavaScript enabled in order for this application to display correctly. " No additional information about its products, services, or market focus was available from the provided content. Based on the presence of a web application but lacking further details, no definitive product, sector, or clientele can be determined from the supplied input.

📋 Description

• Architect and deliver end-to-end AI, Generative AI, and agentic AI solutions from concept through production • Build LLM-based systems, RAG pipelines, AI agents, and multi-agent orchestration solutions • Design AI platform capabilities, including model selection, LLM routing, retrieval strategies, memory systems, and tool/function orchestration • Lead hands-on prototyping and proof-of-concepts • Ensure AI solutions provide performance, scalability, observability, privacy, security, governance, and operational readiness • Define architecture across multiple business domains and align it with enterprise strategy • Partner with business and technology leadership to shape AI strategy, roadmap, priorities, and execution • Establish architecture standards, reusable patterns, and best practices • Drive modernization initiatives to reduce technical debt and improve scalability, resilience, and performance • Implement and guide AI governance, security, responsible AI, and compliance practices • Collaborate with engineering, data, product, and business teams to deliver production-grade AI solutions • Mentor engineers and architects and communicate AI concepts to technical and non-technical stakeholders • Lead adoption of AI-enabled tools, coach employees on appropriate usage, monitor impact, and identify process improvements • Evaluate the evolving AI landscape and translate emerging technologies into enterprise use cases and capabilities • Demonstrate a customer-first mindset and accountability for service quality

🎯 Requirements

• 10+ years of experience in software engineering, architecture, and enterprise system design • Proven experience delivering end-to-end AI/ML and Generative AI solutions in production environments • Strong hands-on engineering capability across architecture, design, and implementation • Deep expertise in LLMs, prompt engineering, RAG, embeddings, vector databases, and agent-based systems • Experience with agent frameworks and orchestration, including multi-agent patterns and integrations • Strong programming experience in Python and building APIs, microservices, and distributed systems • Experience designing and implementing solutions on cloud platforms; Azure preferred • Experience with DevOps practices, including CI/CD, containerization, and scalable deployment of AI systems • Familiarity with infrastructure-as-code, including Terraform and Bicep, and Kubernetes-based deployments • Strong understanding of data architecture and integration patterns supporting AI workloads • Ability to evaluate emerging technologies and translate them into enterprise-scale capabilities • Knowledge of AI governance, risk, compliance, privacy, and responsible AI principles • Strong communication and stakeholder management skills • Ability to influence decisions across engineering, data, and business teams • Proven ability to mentor, guide, and elevate engineering and architecture teams • Master’s or Bachelor’s degree in Computer Science, Engineering, Data Science, or a related STEM field

🏖️ Benefits

• Full-time employment • Remote work arrangement