Lead AI Forward Engineer (AI)

Location: Hybrid role based in Eagan, Minnesota, United States; other listed location: Frisco, Texas, United States. Work from anywhere is available for up to 8 weeks per year.

Base compensation: $127,400–$236,600 USD; the role may also be eligible for an annual bonus.

Company

hirify.global provides specialized software, trusted content, data, intelligence, and technology solutions for legal, tax, accounting, compliance, government, and media professionals.

What you will do

• Identify high-impact opportunities for AI automation and intelligent agents across CIO technology teams.
• Translate business needs into technical requirements, end-to-end architectures, integration patterns, APIs, data flows, and delivery plans.
• Guide AI solutions from prototypes through production, ensuring scalability, security, compliance, maintainability, reliability, and operational readiness.
• Build telemetry pipelines, dashboards, reporting, evaluation frameworks, guardrails, and policy-enforcement mechanisms for AI systems.
• Define reusable AI architecture patterns and integrate observability, monitoring, evaluation, and CI/CD workflows across AWS, Azure, and GCP environments.
• Communicate architecture decisions and technical trade-offs to stakeholders, support major releases, and mentor engineers.

Requirements

• 6+ years of progressive experience in solution architecture, technical strategy, senior engineering, platform engineering, or related technical roles.
• Experience building prototypes and delivering production solutions in ambiguous, low-precedent environments.
• Strong end-to-end architecture skills covering integration patterns, APIs, data flows, distributed systems, and operational design.
• Working knowledge of AI/ML and LLM application patterns, including prompt design, orchestration, agent workflows, RAG, vector search, LLM limitations, and enterprise integration.
• Understanding of production AI trade-offs involving latency, quality, cost, safety, reliability, context windows, hallucinations, and provider variability.
• Experience designing, building, operating, or observing production AI systems and their telemetry, monitoring, evaluation, and operational workflows.
• Proficiency in Python and familiarity with cloud architecture in AWS, Azure, or GCP, including enterprise constraints and security considerations.
• Knowledge of microservices, distributed systems, CI/CD, cloud-native architectures, API-driven integration, DevOps, Platform Engineering, or SRE principles.
• Strong communication skills and demonstrated technical leadership through mentoring, architectural governance, cross-team enablement, or shared standards.

Nice to have

• Familiarity with LangChain, LlamaIndex, or comparable LLM frameworks and patterns.
• Experience with AI observability, telemetry pipelines, dashboards, alerting, SLIs, SLOs, and evaluation frameworks.
• Experience designing AI guardrails, policy enforcement, anomaly detection, or AI safety and reliability controls.
• Exposure to ServiceNow or comparable enterprise service management platforms.
• Exposure to security architecture, privacy, compliance, governance, and auditability requirements.
• Experience collaborating with Product, Data Science, AI Inference Engineering, Enterprise AI, Cloud Engineering, SRE, or Platform Engineering teams.
• Experience scaling and monitoring AI infrastructure and workloads in large, complex enterprise environments.

Culture & Benefits

• Flexible hybrid working environment for office-based roles.
• Flexible workplace policies supporting work-life balance, including work from anywhere for up to 8 weeks per year.
• Flexible vacation, paid holidays, sick and safe paid time off, parental leave, sabbatical leave, and two company-wide mental health days.
• Health, dental, vision, disability, life insurance, 401(k) with company match, HSA/FSA, tuition reimbursement, fitness reimbursement, and employee assistance resources.
• Career development, continuous learning, skills development, volunteer days, and opportunities for pro-bono and ESG projects.