Job Description

IntroAre 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!Why you'll love this jobThe 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. Scope includes various subfields, including segmentation, propensity modeling, natural language processing (NLP), reinforcement learning, and working with foundation models for generative AI, agentic AI, and low-code AI solution development.What you'll doAs 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 engineers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutionsMaintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven developmentTroubleshoot and debug complex issues; identify and implement solutionsCreate detailed project specifications, requirements, and estimatesResearch and implement new AI technologies to enhance current processes, security, and performanceWork closely with data scientists and product teams to build and deploy machine learning models, focusing on the technical aspects of model deploymentImplement and optimize Python-based ML pipelines for data preprocessing, model training, and deploymentMonitor model performance and implement strategies for bias mitigation and explainability. Responsible for ensuring models are scalable and efficient in production environmentsWrite and maintain code for model training and deployment, collaborating with software engineers to integrate models into applicationsPartner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutionsBuild AI agents and automations with low-code platforms such as Microsoft Copilot Studio, Power Automate, and Azure AI Foundry, as well as the Anthropic Claude ecosystem and enterprise data through connectors, APIs, and Model Context Protocol (MCP) serversBridge pro-code and low-code development by packaging ML models and pipelines as reusable services and tools that business teams can consume in Copilot Studio agents and Claude workflowsOperate as a forward deployed engineer: embed with business and operational teams to identify high-value AI Agentic use cases, rapidly prototype, and take solutions from proof-of-concept to productionServe as a trusted technical advisor by translating ambiguous business problems into ML solutions, running demos and workshops, iterating on user feedback, and sharing field learnings with platform teamsAll you'll need for successMinimum Qualifications- Education & Prior Job ExperienceBachelor's degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training3+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications in hosted production environments3+ years of professional, design, and open-source experiencePreferred Qualifications- Education & Prior Job ExperienceMaster's degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training5 years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applicationsExperience in a forward deployed engineer, solutions engineer, or other customer-facing technical role delivering Agentic solutions directly with business usersAirline Industry experienceSkills, Licenses & CertificationsProficiency and demonstrated experience in: PythonDatabricksAzure AI Foundry, including Azure MLLow-code AI platforms: Microsoft Copilot Studio, Power Automate, Power Platform connectors, DataverseAnthropic Claude tools: Claude Cowork, Claude Code, custom skills and plugins, Model Context Protocol (MCP)Database and persistence: Hibernate, Oracle, ORM, query performance tuningCloud development: Microsoft Azure, AWSWeb servers: Tomcat, tcServer, WebSphereWeb services: REST/SOAP (JSON/WSDL/XML)AI/ML frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging FaceMLOps tools: MLflow, Kubeflow, Airflow, Docker, KubernetesBuild/deployment tools: Maven, Gradle, Git, JUnit, MockitoDevOps toolchain: Nexus, SonarQube, GitHub, Jenkins, Elasticsearch, Logback, Log4j, ADO PipelinesProficiency in object-oriented design principlesExperience implementing responsible AI governance frameworks and controlsProficiency in post-deployment model maintenance: observability, monitoring, and drift detectionStrong understanding of NLP: tokenization, embeddings, transformers, and attention mechanismsKnowledge of vector databases (Pinecone, FAISS, Weaviate) and RAGFamiliarity with data pipelines, ETL, and distributed computingExperience building generative AI solutions using LLMs (OpenAI GPT, Google Gemini, Llama)Experience building evaluation frameworks for LLMs and AI agents (accuracy, safety, performance)Experience building agentic solutions in Copilot Studio (generative orchestration, actions, knowledge sources) and Claude (Cowork, custom skills, MCP integrations), including low-code governance: environments, DLP policies, and security rolesProficiency in Microsoft Office (Project, Excel, Word, PowerPoint)Experience in Agile methodologies (Scrum)Experience in DevOps practices, including CI/CDWhat you'll getFeel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network.Health Benefits: On day one, you’ll have access to your health, dental, prescription and vision benefits to help you stay well. And that’s just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself – that’s why our wellness programs provide you with all the right tools, resources and support you need.401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year.Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and moreFeel free to be yourself at AmericanFrom 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+ Team Member 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.

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