Sr Manager, IT AI Engineering

Location
:

DFW Headquarters Building 8 (DFW-SV08)
Cities
:

Fort Worth - TX
Requisition :87430

Job Description

Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life.

Feel free to enrich both your personal and work life and hop on board!

• As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline.
• The AI Engineering domain is an area focused on development, deployment, management, and maintenance of Agentic software applications that support business processes and user needs while ensuring reliability, performance, and security. This includes development, application lifecycle management, requirement analysis, QA, security & compliance, and maintaining the applications and infrastructure while following responsible AI practices.

As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

• Ensure agent designs meet requirements for reliability, latency, cost efficiency, and maintainability in production environments.
• Exhibits strong business and leadership skills, deep technology perspective to guide solutions, and strong communication skills to coordinate with Engineers and Engineering Managers to ensure they understand business needs and objectives, as well as technical requirements of products
• Collaborates with Business and IT leadership to execute and communicate organization’s technical vision, mission, and work priorities, and drives progress towards roadmaps and ensures efficient technical product management and effective communication with stakeholders
• Implement safeguards for privacy, security, and responsible AI: data handling, access controls, content filtering, audit logging, and human-in-the-loop controls where appropriate
• Supports an environment for engineering teams to be self-governing organizations who are accountable for their own performance and delivery commitments and measured accordingly
• Communicates across engineering teams to relay business and IT initiatives, priorities, and support clear adherence to business priorities
• Leads, develops, and mentors leaders and top performers across the engineering teams to build next generation of leaders
• Responsible for budget management, forecasting, resource allocation, and long-term planning to drive alignment with business priorities

Minimum Qualifications
- Education & Prior Job Experience

• Bachelor's degree in Technology, Computer Science, Information Systems, or related technical discipline, or equivalent experience/training
• 7+ years of experience participating in delivery of solutions using ITIL / Agile / XP, or similar methodologies
• 5+ years of experience leading product teams

Preferred Qualifications
- Education & Prior Job Experience

• Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
• Strong understanding of LLM-based systems, including agent patterns, RAG, tool/function calling, prompt engineering, and evaluation method
• Proven experience delivering production AI solutions with measurable business outcomes
• Experience building agentic orchestration using frameworks such as Semantic Kernel, Lang Chain/Lang Graph, Microsoft Copilot Studio, OpenAI/Anthropic tool calling patterns, or equivalent internal frameworks
• Airline industry experience, including engineering / business processes and supporting technology

Skills, Licenses & Certifications

• Proven track record in leading Engineering initiatives that generate substantial value; well organized, able to multi-task, able to prioritize with minimal direction
• Hands-on expertise in backend engineering (e.g., Python, Java, C#, or Node.js) and API/service design
• Strong technical…