Senior Director, AI Engineering 5566

Tier4 Group; Atlanta (GA); Hybrid; USD 210,000 - 260,000; Full time

Benefits offered by this job

Annual Bonus Eligibility

Influence enterprise AI strategy

Job summary

Tier4 Group in Atlanta, GA, is seeking a Senior Director of AI Engineering & Platform to lead strategy, governance, and delivery of the enterprise AI and analytics platform ecosystem. This leader will drive adoption of cloud-based platforms and establish scalable, secure, and cost-efficient operations.

You will build and mentor a multidisciplinary team, partner with business leaders, and translate data and AI initiatives into measurable business outcomes, shaping the organization’s AI

Qualifications

• 10+ years leading software or platform engineering teams.
• Proven experience with cloud data platforms at scale.
• Strong governance, DevOps, and SDLC expertise.

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.
• 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.

Skills

Strategic AI Leadership

Cloud Platform Governance

DevOps & SDLC

Team Leadership

Enterprise Data Platforms

Snowflake

Cost Optimization

Tools

Snowflake

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 optimization.
• Develop leaders and strengthen technical talent across the organization.
• Create a sustainable operating model that accelerates AI adoption and business value delivery.

Leadership Profile

The ideal candidate is:

• A leader first and a technologist second.
• Equally comfortable discussing organizational 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.

• 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.