AI Engineering Director

LeoForce; Austin (TX); On-site; USD 250,000 - 350,000; Full time

Job summary

LeoForce is seeking a Director-level engineering leader to guide multiple AI teams and shape the company’s technical strategy in Austin, TX. You will mentor managers, drive architecture, and partner with senior leadership on transformative roadmaps, while delivering high-impact projects across product, design, and operations.

The ideal candidate has 10+ years in software engineering with 5+ in leadership, deep cloud and systems architecture expertise, and a proven track record with Agile/DevOps

Qualifications

• 10+ years in software engineering, 5+ in leadership (director/senior manager level).
• Strong background in systems architecture and cloud technologies.
• Experience with agile, CI/CD, and DevOps practices.
• Excellent communication and strategic thinking; comfortable with executive stakeholders.

Responsibilities

• Oversee multiple AI engineering teams and ensure alignment with company goals.
• Mentor engineering managers and senior technical staff.
• Shape engineering strategy and roadmap, including agentic transformation.
• Manage large-scale, complex projects with prioritization and risk management.
• Drive technical innovation in agentic loop engineering and continuous improvement.
• Collaborate cross-functionally with product, design and operations.
• Build and mentor AI engineering talent and leadership pipelines.
• Establish and report KPIs for engineering teams.
• Optimize workflows, tooling, and development processes using agile and DevOps.

Skills

Leadership

System architecture

Cloud technologies

Agile & DevOps

Executive communication

Education

Bachelor's in CS/Engineering

Master's preferred

Job description

Job Description

Experience: Director

Salary: $250,000 - $350,000 per year

Job Details

WHAT YOU'LL DO:

• Oversee multiple AI engineering teams, ensuring effective execution and alignment with company goals
• Mentor engineering managers and senior technical staff
• Partner with senior leadership to shape engineering strategy and roadmap, including an ongoing agentic transformation
• Manage large-scale, complex projects — prioritization, resourcing, risk management, on-time delivery
• Drive technical innovation, especially in agentic loop engineering, and foster continuous improvement
• Collaborate cross-functionally with product, design, and operations as the engineering liaison
• Build, scale, and mentor AI engineering talent and leadership pipelines
• Establish and report on KPIs for engineering teams
• Optimize workflows, tooling, and development processes using agile and DevOps best practices

WHO YOU ARE:

• Bachelor's in Computer Science/Engineering (Master's preferred)
• 10+ years in software engineering, 5+ in leadership (director/senior manager level)
• Track record leading multiple teams on complex, high-impact projects
• Strong background in systems architecture and cloud technologies
• Experience with agile, CI/CD, and DevOps practices
• Excellent communication and strategic thinking; comfortable with executive stakeholders

A bit about us:

We're a Gartner-recognized leader in Security for AI, offering a unified platform for supply chain security, runtime defense, posture management, and automated red teaming across agentic, generative, and predictive AI applications. Built by cybersecurity and machine learning veterans, our patented technology helps organizations across the public and private sectors adopt AI with confidence — defending against prompt injection, adversarial manipulation, model theft, and supply chain compromise.

Why join us?

We're a fast-growing, award-winning leader in AI security, protecting the world's most valuable technologies from AI attacks. Founded by cybersecurity and machine learning veterans, we've built a patented, unified platform that secures agentic, generative, and predictive AI applications — covering supply chain security, runtime defense, posture management, and automated red teaming. Our customers span Fortune 500 enterprises, financial institutions, healthcare systems, and federal agencies, all relying on us to adopt AI securely and with confidence.