Lead Engineer, AI Platform

Location: Detroit, United States; other location: Austin, United States. Full-time, onsite role.

Company

hirify.global is an AI-native, platform-enabled B2B digital agency combining data, technology, creativity, analytics, and artificial intelligence to deliver digital, media, and technology solutions for complex organizations.

What you will do

• Own the architecture and evolution of the enterprise AI platform, including agent orchestration, multi-agent workflows, tool integrations, and human approval processes.
• Design retrieval pipelines and vector-based knowledge systems that connect AI agents to enterprise data and content.
• Evaluate models, frameworks, platforms, and vendors while balancing scalability, reliability, quality, and cost.
• Establish AI evaluation, testing, safety, governance, quality gates, safeguards, audit trails, and usage controls.
• Lead operation of a 24x7 multi-region cloud platform, including availability, performance, disaster recovery, security, cost management, observability, incident response, and on-call practices.
• Mentor AI Platform engineers and guide cross-functional architectural decisions and platform adoption.

Requirements

• Experience in integrated marketing, digital agency, marketing services, or consulting environments.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 10+ years of software engineering experience, including 3+ years as a technical lead, architect, or similar leader supporting production systems.
• Experience building and operating 24x7, multi-region enterprise SaaS platforms on AWS, Google Cloud, or Azure, including infrastructure as code and disaster recovery planning.
• Strong production operations experience with observability, metrics, logging, distributed tracing, alerting, service-level objectives, incident response, and postmortems.
• Experience designing and operating production AI and LLM systems, including agent orchestration, multi-agent architectures, tool integrations, context engineering, and Model Context Protocol implementations.
• Expertise with enterprise AI platforms such as Amazon Bedrock, Google Vertex AI, Azure AI Foundry, or similar ecosystems.
• Experience building RAG solutions with vector databases and knowledge retrieval systems.
• Deep understanding of AI evaluation, testing, governance, and safety, including evaluation datasets, LLM-as-judge frameworks, regression testing, and agent containment.
• Experience integrating AI-assisted development workflows into CI/CD pipelines and designing secure multi-tenant SaaS environments with identity management, role-based access controls, and tenant isolation.
• Fluency in Python, TypeScript, SQL, and Git-based CI/CD practices.
• Ability to influence technical direction and collaborate across engineering, product, security, and delivery teams.

Nice to have

• Experience with self-service or low-code platforms for governed AI agent creation and deployment.
• Familiarity with managed agent runtimes and frameworks from major cloud providers.
• Knowledge of SOC 2, ISO 27001, NIST AI RMF, or ISO/IEC 42001.
• Agency, consulting, client delivery, or automotive-focused experience.
• Knowledge of supervised fine-tuning, LoRA/PEFT, or preference tuning.
• Experience with Java, Go, or C# and AI-enabled engineering, automation, and platform engineering workflows.

Culture & Benefits

• Medical, dental, and vision coverage.
• 401(k) retirement plan, paid holidays, and Flexible Time Off.
• Additional wellness, financial security, and professional growth programs.
• Equal opportunity workplace with reasonable accommodation available for employees with disabilities.