Product Engineering Architect

AMH Internet Solutions, Inc.; Draper (UT); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) with company matching

Employee stock purchase plan

Tuition reimbursement

9 paid holidays per year

PTO up to 120 hours per year

Job summary

AMH Internet Solutions, Inc. is seeking a Product Engineering Architect to lead production-grade AI architecture and delivery. You will define reusable AI design patterns, mentor teams, and drive adoption of Generative AI and MLOps across the organization.

You will partner with product, engineering, and leadership to identify high-impact AI use cases, ensure governance, and deliver scalable, compliant AI solutions that align with business goals.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Statistics, Data Science or an equivalent combination of education and experience required; Master’s degree preferred.
• Minimum 8 years of experience in solution architecture, technical design, and enterprise technology delivery.
• Minimum 3 years of strong knowledge of Generative AI, LLMs, Agentic AI systems, and AI operational frameworks preferred.
• Experience leading technical initiatives and architecting complex solutions, especially in regulated or highly governed environments.

Responsibilities

• Guides the execution of the Product Engineering AI roadmap, defining architecture standards, reusable frameworks, and scalable AI design patterns.
• Designs and delivers enterprise-grade AI solutions, including Generative AI applications, Agentic AI systems, Retrieval-Augmented Generation (RAG) pipelines, LLM integrations, and MLOps/LLMOps frameworks.
• Partners with business and technology stakeholders to translate goals and requirements into practical, innovative AI solutions.
• Evaluates emerging AI technologies, conducts proofs of concept, and recommends solutions that deliver measurable value.
• Collaborates with Security, Risk, Compliance, and Architecture teams to support responsible, secure, and compliant AI implementations.

Skills

Generative AI

LLMs

Agentic AI systems

AI orchestration

MLOps

Cloud AI ecosystems

Communication

Education

Bachelor's degree in Computer Science, Engineering, Statistics, Data Science

Master’s degree preferred

Tools

LangChain

CrewAI

AutoGen

Strands

Azure AI Foundry

AWS Bedrock

Job description

## Product Engineering ArchitectApplylocations: Draper, UTtime type: Full timeposted on: Posted Todayjob requisition id: JR102015Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work. At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life.The **Product Engineering Architect** is a strategic and hands-on technical individual responsible for executing the Product Engineering AI architecture vision, designing and delivering production-grade AI solutions, and leading the adoption of modern AI technologies across the organization. Partners with leadership, business stakeholders, and engineering teams to identify high-impact AI use cases, establish architecture frameworks, and ensure AI solutions are scalable, governed, and aligned with organizational goals and requirements. Leverages deep expertise in Generative AI, Agentic AI systems, LLM orchestration, and MLOps skillsets to translate complex AI capabilities into production systems and reusable components. Collaborates with Compliance, Security, and Architecture teams to ensure responsible AI deployment, regulatory alignment, and enterprise-grade production readiness. Establishes reusable architecture patterns and reference designs, assists in AI platform selection, and mentors engineering and architecture teams to build organizational AI fluency and capability. Partners with product, engineering, and leadership to conduct proofs of concept, evaluate emerging AI technologies, and contribute to the organization's broader AI capabilities. Defines standards and best practices to enable the organization to scale AI solutions responsibly and effectively in the Product Engineering group.**Responsibilities:*** Guides the execution of the Product Engineering AI roadmap, defining architecture standards, reusable frameworks, and scalable AI design patterns aligned with business objectives.* Designs and delivers enterprise-grade AI solutions, including Generative AI applications, Agentic AI systems, Retrieval-Augmented Generation (RAG) pipelines, LLM integrations, and MLOps/LLMOps frameworks.* Partners with business and technology stakeholders to translate goals and requirements into practical, innovative AI solutions.* Evaluates emerging AI technologies, conduct proofs of concept, and recommend solutions that deliver measurable value.* Collaborates with Security, Risk, Compliance, and Architecture teams to support responsible, secure, and compliant AI implementations.* Assesses solution risks, recommends mitigation strategies, and contributes to governance practices that support enterprise AI initiatives.* Mentors engineers and architects, sharing best practices and fostering a culture of innovation, learning, and continuous improvement.* Develops reference architectures and reusable components that promote consistency, scalability, and operational excellence across projects.**Requirements:*** Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or a related field or an equivalent combination of education and experience required; Master’s degree preferred.* Minimum 8 years of experience in solution architecture, technical design, and enterprise technology delivery.* Minimum 3 years of Strong knowledge of Generative AI, Large Language Models (LLMs), Agentic AI systems, and AI operational frameworks preferred* Experience leading technical initiatives and architecting complex solutions, particularly within regulated or highly governed environments.* Experience working with AI orchestration platforms and frameworks such as LangChain, CrewAI, AutoGen, Strands, or similar technologies.* Familiarity with cloud AI ecosystems including Azure AI Foundry, AWS Bedrock, GCP Gemini AI, M365 Copilot Studio, or comparable platforms.* Experience developing RAG solutions, vector databases, memory systems, prompt engineering strategies, and model optimization techniques.* Knowledge of modern AI development tools, coding assistants, and enterprise AI platforms.* Knowledge of integration protocols, tool-calling frameworks, and API-driven architectures.* Familiarity with responsible AI practices, governance principles, and regulatory frameworks.* Knowledge of LLM infrastructure concepts such as GPU utilization, token economics, and performance optimization.* Strong communication skills with an aptitude for translating technical concepts into business-focused recommendations.* Success collaborating with cross-functional teams in Agile and evolving technology environments.* Relevant AI, cloud, or architecture certifications preferredCompensationThe anticipated pay range/scale for this position is commensurate with experience. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience.Additional CompensationThis position is eligible to receive a discretionary annual bonus.Perks and BenefitsEmployees have the opportunity to participate in medical, dental and vision insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts; 401(k) with company matching contributions; employee stock purchase plan; and a tuition reimbursement program. The Company provides 9 paid holidays per year, and, upon hire, new employees will accrue paid time off (PTO) at a rate of 0.0577 hours of PTO per hour worked, up to a maximum of 120 hours per year.**CA Privacy Notice:**To learn more about what information we collect when you apply for a job, and how we use that information, please see our CA Job Applicant Privacy Notice found at https://www.amh.com/ca-privacy-notice.