7 часов назад
Product Engineering Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Engineering Architect (AI): Designing and delivering production-grade Generative AI applications, Agentic AI systems, RAG pipelines, LLM integrations, and MLOps/LLMOps frameworks with an accent on scalable architecture, governance, and enterprise readiness. Focus on developing reusable AI patterns, evaluating orchestration and cloud platforms, and building secure, compliant solutions in a highly governed environment.
Location: Draper, Utah, United States
Company
is a single-family rental company and homebuilder focused on simplifying residential leasing through professional management and maintenance support.
What you will do
- Guide the Product Engineering AI roadmap by defining architecture standards, reusable frameworks, and scalable design patterns.
- Design and deliver enterprise-grade Generative AI applications, Agentic AI systems, RAG pipelines, LLM integrations, and MLOps/LLMOps frameworks.
- Partner with business, product, engineering, and technology stakeholders to translate requirements into practical AI solutions.
- Evaluate emerging AI technologies, conduct proofs of concept, and recommend solutions that deliver measurable value.
- Collaborate with Security, Risk, Compliance, and Architecture teams on secure, responsible, and compliant AI implementations.
- Develop reference architectures and reusable components while mentoring engineers and architects.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Statistics, Data Science, or a related field, or equivalent education and experience; a master’s degree is preferred.
- At least 8 years of experience in solution architecture, technical design, and enterprise technology delivery.
- At least 3 years of strong knowledge of Generative AI, LLMs, Agentic AI systems, and AI operational frameworks.
- Experience leading technical initiatives and architecting complex solutions in regulated or highly governed environments.
- Experience with AI orchestration frameworks such as LangChain, CrewAI, AutoGen, Strands, or similar technologies.
- Knowledge of RAG solutions, vector databases, memory systems, prompt engineering, model optimization, integration protocols, tool-calling frameworks, APIs, responsible AI, and LLM infrastructure.
Nice to have
- Master’s degree in a relevant field.
- Familiarity with Azure AI Foundry, AWS Bedrock, GCP Gemini AI, M365 Copilot Studio, or comparable platforms.
- Relevant AI, cloud, or architecture certifications.
Culture & Benefits
- Medical, dental, and vision insurance.
- Flexible spending accounts, health savings accounts, and dependent savings accounts.
- 401(k) with company matching contributions and an employee stock purchase plan.
- Tuition reimbursement, 9 paid holidays, and accrued paid time off.
- Eligibility for a discretionary annual bonus.
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