AI Engineer -(only Locals to TX who can do F@F in Dallas)-Multiple openings

Why you'll love this job

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.

AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), reinforcement learning, and generative AI.

What you'll do

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.

Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions

Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development

Serve as technical lead in developing Agentic solutions

Troubleshoot and debug complex issues; identify and implement solutions

Create detailed project specifications, requirements, and estimates

Research and implement new AI technologies to enhance current processes, security, and performance

Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs

Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. 

Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. 

Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. 

All you'll need for success

Minimum Qualifications- Education & Prior Job Experience

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training

5+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments

5+ years of professional, design, and open-source experience

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

7 years of full Software Development Life Cycle (SDLC) experience

Prior experience designing and building agentic systems

2+ years prior experience developing and implementing AI solutions using Large-Language Models (LLMs)

Airline or transport industry experience is a plus

Skills, Licenses & Certifications

Practical understanding of transformer architectures and how modern LLMs work

Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool-calling patterns, or equivalent internal frameworks

Proficiency in prompt engineering: systematic prompt design, few-shot learning, chain-of-thought, and prompt optimization for foundation models

Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG architecture patterns

Experience with LLM evaluation methods, including LLM-as-a-judge, automated benchmarking, and regression testing for model outputs

Proficiency in post-deployment model maintenance, including observability, monitoring, cost optimization, and drift detection

Experience developing and implementing governance frameworks and controls for responsible AI

Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus

Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics

Strong proficiency in Python; working knowledge of Java or another enterprise language

Proficiency in object-oriented design techniques and principles

Experience with cloud platforms (Azure, AWS, or Google Cloud Platform) and cloud-native development patterns

Experience with CI/CD pipelines and DevOps toolchain: Git, GitHub, Jenkins, ADO Pipelines, or equivalent

Experience with RESTful API design and integration patterns (JSON, microservices)

Experience in Agile methodologies, such as SCRUM

Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.)

Feel free to be yourself at American

From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Employee Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world.

Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life’s journey? Feel free to be yourself at American.

Top 3 Must Haves:

Gen AI Production Development

Python Coding

AI Engineering

Nice to Have Skills:

Coding engineering