Lead AI Forward Engineer

What you'll do

• Identify AI automation opportunities and translate team needs into end-to-end solution designs and production delivery plans.
• Build AI observability pipelines, dashboards, evaluations, guardrails, and reliability controls; integrate monitoring into CI/CD and operational workflows.
• Establish reusable architecture patterns, guide teams, and communicate technical decisions while mentoring engineers.

What they ask for

• 6+ years of progressive experience in solution architecture, technical strategy, senior engineering, platform engineering, or related technical roles.
• Experience taking prototypes to production and designing end-to-end solutions, including integration patterns, APIs, data flows, distributed systems, and operational design.
• Working knowledge of AI/ML and LLM application patterns and production AI trade-offs; experience with production AI systems and related telemetry, monitoring, evaluation, or operations.
• Proficiency in Python; familiarity with cloud architecture in AWS, Azure, or GCP, and knowledge of DevOps, Platform Engineering, or SRE principles.

Nice to have

• Familiarity with LangChain, LlamaIndex, or comparable LLM frameworks; experience with AI observability and evaluation frameworks.
• Experience designing AI guardrails or safety controls, or exposure to enterprise service management platforms such as ServiceNow.

Pay

$127,400 USD - $236,600 USD (base salary)

Tools

Python, AWS, Azure, GCP, LangChain, LlamaIndex, ServiceNow, CI/CD

AI focus

Hands-on design, implementation, production operations, observability, evaluation, and governance of AI/ML and LLM systems, including agent workflows, RAG, telemetry, guardrails, and reliability controls.