AI Engineering Lead

plumtreegroup; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

CoPilot Innovations, a subsidiary of The Plumtree Group, seeks an AI Engineering Lead to act as the technical authority across the engineering team. This hands-on leadership role focuses on building production-ready AI systems while coaching engineers, reviewing architectures, and establishing high engineering standards for both internal teams and client accounts.

You will lead an AI-focused team, translate complex AI concepts for diverse audiences, and architect end-to-end AI solutions.

Qualifications

• Hands-on leadership of AI engineering teams.
• Strong Python and ML system design.
• Experience in MLOps/LLMOps, CI/CD.
• Ability to translate AI concepts for non-technical audiences.

Responsibilities

• Lead and grow a high-performing AI engineering team while setting standards across client engagements.
• Translate complex AI concepts into clear, actionable direction for business and technical stakeholders.
• Architect and deliver production-grade end-to-end AI solutions (ML + generative/agent-based approaches).
• Serve as trusted advisor shaping AI roadmaps, designs, and delivery approaches.
• Define best practices for AI-first software development, cloud deployment, and engineering quality.

Skills

Python

LLM applications

RAG

agentic workflows

AI microservices

mentoring/leading teams

Tools

LangChain

LlamaIndex

Vector databases

PyTorch

TensorFlow

Docker

Kubernetes

AWS

Azure

GCP

Job description

CoPilot Innovations, a subsidiary of The Plumtree Group, is looking for an AI Engineering Lead to act as the technical authority across our engineering team.

This is a hands-on leadership role for someone who can build production-ready AI systems while coaching engineers, reviewing architectures, and setting strong engineering standards internally as well as across client accounts. This is a client-facing leadership role suited to someone who enjoys building teams, shaping solutions, and staying close to emerging Al capabilities.

What You’ll Do:

• Leading and developing a high-performing Al engineering team while setting engineering standards across multiple client engagements
• Translating complex Al concepts into clear, practical direction for business and technical audiences
• Architecting and delivering production-grade end-to-end Al solutions (ML + newer generative/agent-based approaches)
• Acting as a trusted advisor in shaping Al roadmaps, solution design, and delivery approaches
• Define best practices for AI-first software development, cloud deployment, and engineering quality

What We’re Looking For:

• Strong hands-on experience with Python, LLM applications, RAG, agentic workflows, and AI microservices
• Experience with tools such as LangChain, LlamaIndex, vector databases, PyTorch/TensorFlow, Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP
• Understanding of MLOps/LLMOps, CI/CD, AI observability, latency, cost, and performance optimization
• Proven experience mentoring or leading engineering teams
• Strong communication skills and the ability to explain AI trade-offs to both technical and non-technical stakeholders

This role is ideal for someone who enjoys building advanced AI systems while raising the technical standard of an entire engineering team.