Lead Platform Engineer (AI/ML)

Location: TX-Arlington; full-time role with ability to travel overnight.

Company

hirify.global is a publicly traded Fortune 500 homebuilder using data, AI, and digital solutions to modernize homebuilding operations.

What you will do

• Lead engineering and operational ownership for enterprise data platform domains, defining standards for security, reliability, automation, observability, resilience, recovery, capacity, and cost governance.
• Design and implement reusable platform services and automation using Python or other modern languages, APIs, infrastructure-as-code, CI/CD, Git workflows, testing, and configuration management.
• Drive SRE/DataOps practices, including SLIs, SLOs, service tiers, incident response, root-cause analysis, postmortems, automated remediation, availability, and recovery objectives.
• Lead AI/ML platform capabilities for analytics, machine learning, generative AI, semantic search, RAG, agents, model endpoints, vector services, and model gateways.
• Coordinate cloud and on-premises infrastructure integration across Kubernetes, storage, networking, GPU-enabled compute, scheduling, capacity, and observability.
• Review designs and code, mentor engineers, lead incidents and migrations, and partner with architecture, cybersecurity, infrastructure, data, AI, sourcing, and business teams.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent education and experience.
• 7 or more years of progressive experience engineering and operating enterprise cloud or hybrid data platforms, DevOps platforms, AI/ML platforms, databases, integration platforms, or comparable services.
• Expert-level experience in at least one platform domain, with advanced breadth across security, performance, workload management, observability, resilience, automation, and cost governance.
• Strong software and automation skills using Python or another modern language, APIs, infrastructure-as-code, CI/CD, Git, automated testing, and configuration management.
• Experience establishing engineering standards, SRE/DataOps practices, recovery capabilities, operational controls, and platform roadmaps.
• Experience leading complex platform implementations, migrations, incidents, architecture decisions, and cross-functional technical workstreams.
• Advanced knowledge of AI/ML platform patterns, including LLM deployment, inference, RAG, vector search, model gateways, evaluation, observability, and lifecycle management.
• Ability to mentor engineers, influence technical decisions, and communicate platform risk, architecture, value, cost, and trade-offs to senior stakeholders.
• Ability to travel overnight and conduct business professionally and ethically.

Nice to have

• Advanced certification in Snowflake, cloud, architecture, security, FinOps, SRE, Kubernetes, or responsible AI.
• Hands-on experience with Snowflake, Azure, Fivetran, dbt, Power BI/Microsoft Fabric, GitHub, Terraform/OpenTofu, Kubernetes, observability platforms, API management, and AI/ML platform services.
• Experience with hybrid cloud and on-premises infrastructure, Linux, GPU-enabled compute, storage, networking, workload scheduling, hardware/software economics, metadata/catalog, governance, and Apache Iceberg.

Culture & Benefits

• Full-time position within a Fortune 500 corporate organization.
• Medical, dental, and vision coverage.
• 401(k), employee stock purchase plan, flexible spending accounts, and life and disability insurance.
• Vacation, sick, personal time, company holidays, and additional voluntary and company-provided benefits.