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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Principal Solution Architect, IT AI Engineering - **Company:** American Airlines Inc - **Location:** Fort Worth, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Computer Vision, Microsoft Azure, Cloud Engineering, Computer Engineering, Software Design Patterns, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Pytorch, Multi-Agent Systems, IT Architecture, Keras, Git, Information Technology, Machine Learning Operations, Software Version Control - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=37214a3dbe66d118 ## About the Role * Bachelor's degree in Computer Science, Computer Engineering, Data Science, or related field. * 8+ years of application systems development experience with AI, machine learning, or data science. * 4+ years architectural and design experience * Proven experience in designing and implementing AI architectures and solutions, * Advanced degree (Master's or Ph.D.) in Computer Science, Computer Engineering, Data Science, or related discipline * 5 years of technical or team leadership experience * 2+ years of experience leading AI projects and teams. * 2+ years' Cloud architecture or development experiences in IBM Public and Azure * Proficiency in programming languages such as Python, R, or Java. * Experience building production Agentic solutions, harness engineering, and agent orchestration frameworks * Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, or Keras. * Knowledge of natural language processing (NLP) and computer vision techniques. * Experience with MLOps practices and tools. * Airline industry experience and multiple domain knowledge, including Commercial and Operations areas. Skills, Licenses & Certifications * Background in Enterprise/Solutions Architecture or software engineering * Command of architecture, design patterns and business processes * Deep knowledge of evaluations, agent harness optimization, LLMOps * Mastery of application, data, and infrastructure architecture disciplines * Strong understanding of software development principles and practices. * Knowledge of version control systems (e.g., Git). * Ability to manage multiple projects and priorities in a fast-paced environment. * Commitment to staying updated with the latest trends and advancements in AI and machine learning. * Expertise in working in large, collaborative teams to achieve organizational goals, and passionate about building an innovative culture * Strong technical leader able to drive to outcomes and mentor delivery teams * Proficiency in data modeling, preprocessing, and analysis. ## Description * This job is a member of the Generative AI Product Team within the Information Technology Division. In this role you will lead the vision and strategy for the effective use of Artificial Intelligence and Machine Learning technologies to drive organizational growth, innovation, and competitive advantage. You will work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Our innovative and collaborative environment encourages creativity, continuous learning, and professional growth. You'll have the opportunity to work with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. Your contributions will play a crucial role in shaping the future of our AI capabilities and driving the success of our organization. * The Machine Learning domain encompasses the application of algorithms and models to enable computers to learn from and make predictions or decisions based on data. This domain is generally a subset of the AI or Data Domain. 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. * Partner with a highly inspired and inquisitive team of technologists who are already developing and deploying applications to the highest standards. * Design and develop end-to-end AI architectures that align with business goals and technical requirements. * Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to define AI strategies and roadmaps. * Lead the evaluation and selection of AI technologies, frameworks, and tools to ensure optimal performance and scalability. * Explore emerging technologies/practices with the latest advancements in AI and machine learning to with little or no guidance; incorporate these into architectural solution when appropriate. * Present AI strategies, architectures, and results to executive leadership and other stakeholders. * Work in an open, collaborative, trusting and thought-provoking environment, one that encourages diversity of thoughtful and creative solutions; one that supports experimentation with a fall forward culture. ## Related Videos - [AI in Leadership: How Technology is Reshaping Executive Roles](https://www.wearedevelopers.com/videos/1705-ai-in-leadership-how-technology-is-reshaping-executive-roles) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)