Lead AI Engineer

Ports North; Austin (TX); Remote; USD 120,000 - 170,000; Full time

Job summary

A leading company is seeking an experienced Lead AI Engineer for an interim to hire role. This position involves designing and deploying AI solutions, mentoring a team, and collaborating with cross-functional teams to drive impactful AI initiatives. Candidates should have a strong background in AI/ML engineering, data science, and cloud tools, particularly in Azure and Power Platform.

Qualifications

• Experience in AI/ML engineering with a foundation in data science.
• Hands-on expertise with cloud-based AI tools (Azure).
• Experience leading technical teams.

Responsibilities

• Lead the design and deployment of AI/ML solutions.
• Mentor a team of AI engineers.
• Build tools for AI workflows, ensuring scalability and reliability.

Skills

AI/ML engineering

Data science

Model deployment

Cloud-based AI tools

Leadership

Collaboration

Communication

Tools

Azure

Power Platform

MLOps

Enterprise Chat GPT

Microsoft Copilot

React

Job description

Job Title: Interim to Hire Lead AI Engineer

Position Overview:

We are seeking a highly skilled and motivated Lead AI Engineer to join our team on an interim to hire basis. This role is ideal for a hands-on technical leader who thrives in a fast-paced environment and is passionate about building scalable AI solutions. You will be responsible for driving the development of AI capabilities, mentoring a team of engineers, and delivering impactful solutions across the enterprise.

Key Responsibilities:

• Lead the design, development, and deployment of AI/ML solutions across enterprise platforms.
• Collaborate with cross-functional teams to identify opportunities for AI enablement and deliver high-impact solutions.
• Guide and mentor a team of AI engineers, ensuring best practices in model development, deployment, and monitoring.
• Build and maintain tools and platforms that support AI workflows, including data pipelines, model training, and inference systems.
• Ensure the scalability, reliability, and security of AI systems in production environments.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.

Must Haves:

• Proven experience in AI/ML engineering, with a strong foundation in data science and model deployment.
• Hands-on expertise with cloud-based AI tools, particularly within Azure and Power Platform.
• Experience leading technical teams and driving deliverables in a collaborative environment.
• Strong communication and presentation skills; able to work independently and transparently.
• Comfortable working in a hybrid engineering/leadership role (approximately 70-80% hands-on, 20-30% leadership).

Preferred Qualifications:

• Experience with tools such as Enterprise Chat GPT, Microsoft Copilot, and React-based front ends.
• Background in spinning up AI platforms or internal tooling to support ML workflows.
• Familiarity with MLOps practices and scalable deployment strategies.
• Prior collaboration with consulting or systems integration partners is a plus.

Location:Remote in CT or ET

Employment Type:Interim to Hire