Senior Director, AI Engineering 5566

Tier4 Group; Atlanta (GA); Hybrid; USD 203,000 - 248,000; Full time

Benefits offered by this job

Annual bonus eligibility

Job summary

Tier4 Group is seeking a Senior Director of AI Engineering & Platform to lead strategy, governance, optimization, and delivery of our enterprise AI and analytics platform ecosystem. This role focuses on leveraging leading platforms to operationalize AI at scale rather than building from scratch.

You will shape engineering excellence, platform governance, and organizational development while partnering with senior business and technology leaders.

Qualifications

• 10+ years of progressive leadership experience in software engineering, platform engineering, cloud technology, data, analytics, or AI organizations.
• Proven experience leading technical teams in enterprise environments.
• Strong understanding of DevOps culture, software development lifecycle management, and engineering governance.

Responsibilities

• Lead the strategy, management, and optimization of enterprise AI, analytics, and data platforms.
• Drive adoption and governance of modern cloud-based platforms including Snowflake and other AI-enablement technologies.
• Establish platform standards, operating models, and technical roadmaps that support scalability, security, reliability, and cost efficiency.
• Maintain a strong point of view on industry trends and AI platform evolution to ensure the organization remains ahead of the curve.

Skills

Leadership

Cloud platforms

DevOps

AI/ML

Tools

Snowflake

Cloud platforms

Job description

Location: Atlanta, GA (Hybrid, 3 days onsite)

Reports To: VP / Head of Data, Analytics & AI

Job Type: Full-Time

About the Role

We are seeking a Senior Director of AI Engineering & Platform to lead the strategy, governance, optimization, and delivery of our enterprise AI and analytics platform ecosystem. This leader will play a critical role in shaping how modern AI capabilities are deployed across the organization by leveraging industry-leading platforms rather than building custom infrastructure from scratch.

This role is ideal for a technology leader who understands how to operationalize AI at scale, foster engineering excellence, and lead high-performing teams. You will be responsible for driving engineering best practices, platform governance, technical execution, and organizational development while partnering closely with senior business and technology leaders.

As a member of the Data, Analytics & AI leadership team, you will work alongside leaders responsible for Trusted Data Products and Analysis & Engagement to deliver business outcomes through data-driven decision making and AI-enabled solutions.

Key Responsibilities

AI Engineering & Platform Leadership

• Lead the strategy, management, and optimization of enterprise AI, analytics, and data platforms.
• Drive adoption and governance of modern cloud-based platforms including Snowflake and other AI-enablement technologies.
• Establish platform standards, operating models, and technical roadmaps that support scalability, security, reliability, and cost efficiency.
• Evaluate emerging technologies and provide recommendations on platform capabilities, enhancements, and investments.
• Maintain a strong point of view on industry trends and AI platform evolution to ensure the organization remains ahead of the curve.

Engineering Excellence & DevOps

• Champion software engineering best practices across the organization, including:
• Source control and version management
• CI/CD methodologies
• Release management
• Quality assurance and governance
• Apply engineering discipline to platform configuration, implementation, and operations rather than custom platform development.
• Drive repeatable, scalable development processes that improve speed, quality, and reliability of delivery.

Team Leadership & Organizational Development

• Lead, mentor, and develop a multidisciplinary team of engineers and platform professionals.
• Conduct talent assessments and partner with leadership to evaluate organizational structures, capabilities, and future-state needs.
• Build and sustain a high-performance culture centered on accountability, collaboration, innovation, and continuous improvement.
• Inspire teams while maintaining high standards for execution and delivery.

Business Partnership & Delivery

• Partner with business leaders, analytics teams, data product leaders, and engineering stakeholders to deliver strategic initiatives.
• Ensure AI and technology investments align with business priorities and measurable outcomes.
• Balance innovation with operational excellence and financial stewardship.
• Drive execution across multiple concurrent initiatives and strategic programs.

Qualifications

Required Experience

• 10+ years of progressive leadership experience within software engineering, platform engineering, cloud technology, data, analytics, or AI organizations.
• Proven experience leading technical teams in enterprise environments.
• Strong understanding of DevOps culture, software development lifecycle management, and engineering governance.
• Experience managing cloud, data, analytics, or AI platforms at scale.
• Demonstrated success building high-performing technical organizations and mentoring engineering leaders.
• Experience developing technology roadmaps and managing platform investments.

Preferred Experience

• Experience with Snowflake or similar modern cloud data platforms.
• Knowledge of AI/ML operational frameworks and platform management.
• Experience supporting enterprise analytics, data products, and AI initiatives.
• Familiarity with cloud technologies and platform ecosystems such as AWS, Azure, or Google Cloud.

What Success Looks Like

• Assess organizational capabilities and help shape the future structure of the AI engineering organization.
• Establish consistent engineering practices and platform governance standards.
• Improve platform utilization, reliability, scalability, and cost optimisation.
• Develop leaders and strengthen technical talent across the organisation.
• Create a sustainable operating model that accelerates AI adoption and business value delivery.

Leadership Profile

• A leader first and a technologist second.
• Equally comfortable discussing organisational strategy and technical architecture.
• Curious, adaptable, and continuously learning.
• Focused on outcomes rather than technology for technology's sake.
• Passionate about developing people and building strong teams.
• Driven by accountability, ownership, and long-term impact.

This role is best suited for a leader who understands that modern AI success comes from leveraging and optimizing world-class platforms, enabling teams through strong engineering practices, and creating an environment where talented professionals can consistently deliver exceptional business outcomes.

• Base Salary: Approximately $225,000+, depending on experience
• Annual Bonus Eligibility
• Opportunity to influence enterprise-wide AI strategy and transformation initiatives

Why Join Us?

This is a unique opportunity to help define the future of AI and analytics within a rapidly evolving organization. You'll work directly with executive leadership, shape technical strategy, lead talented teams, and drive meaningful business impact through data and AI innovation.