AI Automation Lead

Trafilea; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading technology company in the United States seeks an experienced AI Manager to design and execute an extensive AI automation roadmap. The role includes redefining processes for automation, driving team leadership, and promoting cross-functional collaboration. The ideal candidate will have over 5 years of experience in AI/ML leadership and proven skills in scalable solutions and effective communication. A data-driven mindset and ability to lead teams through change are essential for success in this dynamic environment.

Qualifications

• 5+ years leading high-performance tech teams in dynamic environments.
• Strong experience in AI/ML systems including LLMs and APIs.
• Proven ability to design scalable architectures and distributed systems.

Responsibilities

• Design and execute the AI automation roadmap across the organization.
• Map and redesign end-to-end processes to unlock automation opportunities.
• Drive cross-functional adoption across Product, Marketing, Ops, and Data.

Skills

AI/ML systems

Leadership

Systems thinking

Communication

Tools

LangChain

AWS

FastAPI

Node.js

Job description

Job Responsibilities

• Design and execute the AI automation roadmap across the organization
• Map and redesign end-to-end processes to unlock automation opportunities
• Identify and prioritize high-impact (20/80) leverage points
• Build or orchestrate AI agents, LLM workflows, and automation systems (RAG, APIs, pipelines)
• Define governance, monitoring, and performance frameworks for AI systems
• Drive cross-functional adoption across Product, Marketing, Ops, and Data
• Lead technical decision-making, balancing innovation with scalability and reliability
• Establish KPIs, dashboards, and reporting systems to measure impact
• Improve workflows to accelerate time-to-production (2x speed)
• Build, mentor, and scale a high-performing AI team

Qualifications

• 5+ years leading high-performance tech teams in dynamic environments
• Strong experience in AI/ML systems (LLMs, APIs, automation workflows, MLOps)
• Proven ability to design scalable architectures and distributed systems
• Hands-on experience with tools such as LangChain, AWS, FastAPI, Node.js or similar
• Strong systems thinking and ability to connect technology with business outcomes
• Data-driven mindset with experience defining and tracking KPIs and performance metrics
• Comfortable operating in ambiguity and fast-changing environments
• Excellent communicator, able to translate complex AI concepts into business value
• Strong ownership, prioritization (20/80), and execution skills