Lead AI Engineer

Korn Ferry; Austin (TX); Remote; USD 80,000 - 100,000; Full time

Job summary

A leading company is seeking an Interim to Hire Lead AI Engineer to join their team. The ideal candidate will drive AI capabilities, mentor engineers, and collaborate across departments to deliver scalable solutions. This role blends technical leadership with hands-on engineering tasks, providing an opportunity to influence AI strategies.

Qualifications

• Proven experience in AI/ML engineering.
• Hands-on expertise with cloud-based AI tools.
• Experience leading technical teams.

Responsibilities

• Lead the design and deployment of AI/ML solutions.
• Mentor a team of AI engineers.
• Communicate technical concepts to various stakeholders.

Skills

AI/ML engineering

Data science

Cloud-based AI tools

Leadership

Communication

Tools

Azure

Power Platform

Enterprise Chat GPT

Microsoft Copilot

React-based front ends

Job description

Salary: USD85 - USD95 per hour

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

Compensation: $85 - $95 hourly

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