Technical Coach (AI/ML

• Our IT organization is inclusive of many diverse, high-performing teams dedicated to technical excellence, your role is anchored in supporting our teams on their journey to deliver unrivaled digital products that drive a more reliable and profitable airline.
• Our Delivery Excellence organization is dedicated to improving the success of our development teams through improved daily work habits and alignment to delivery metrics while creating and maintaining resilient and best in class products for our customers and team members. As a Technical Coach at American, you are given the opportunity to guide whole product teams toward achieving company objectives and delivering their product vision more effectively using exemplary and modern engineering practices.

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.

• Coach teams in our immersive dojo / coaching space (the American Airlines “Hangar”)
• Evaluate our product/portfolios and assess their architecture/engineering opportunities.
• Facilitate Value Stream Mapping sessions to identify opportunities in our development and operational value streams
• Identify opportunities to increase flow, eliminate waste, decouple our applications, and enable service-based ecosystem
• Define/curate leading indicators and metrics to measure progress toward the desired outcomes
• Serve as a go-to expert on modern technology, architecture, engineering, and DevOps practices.
• Work with teams and leadership to influence and support the engineering culture at American Airlines
• Collaborate with product teams on reaching the next level of customer delivery.
• Be a mentor and get hands-on with software teams including engineers and architects on learning and applying new ways to solve problems.
• Lead large pairing / mobbing sessions to maximize learning while narrowing focus.
• Design and develop facilitator-led materials related to modern engineering practices or ways of working.
• Bring your real-world software engineering experience to the enablement organization to help build a viable community of technical coaches and practitioners throughout the enterprise.
• Embed with teams to learn their environment and behaviors as a precursor to designing impactful coaching interventions.
• Develop and implement coaching interventions for teams including software engineers and architects!
• Exemplify and demonstrate preferred team behaviors and embody the desired culture. That means it’s important also to professionally address undesirable behaviors if they should arise.
• Contribute to the developer experience platform that removes organization friction from the continuous delivery of value.

• 8+ years of experience
• AI and ML experience
• Bachelor degree Computer Science
• Hands-on SW development experience
• Coaching experience
• TDD, Java and/or Python, * Bachelor’s degree in computer science or related discipline or an equivalent combination of education and work experience
• 4+ years of relevant work experience in an agile environment
• Demonstrated expertise in at least one object-oriented language.
• Previous experience supporting high performing Agile / DevOps teams.
• Past experience coaching or mentoring others, in any context.
• Hands-on experience with engineering practices such as object-oriented design patterns, Extreme Programming, cloud design patterns, TDD, BDD, refactoring, and automation
• Experience with Continuous Integration and Continuous Delivery
• Expertise in Agile methodologies like Extreme Programming, Kanban, or Scrum
• Experience with implementing and operating DevOps tools/platforms across some part of the development lifecycle.
• Working experience deploying and supporting business-critical, Internet scale distributed systems or high-volume client/server systems
• Proven experience in SQL and ability to design relational database schemas
• Ability to scrutinize provided architectures and suggest optimizations for deployment and minimizing the cost of change.

Preferred Qualifications- Education & Prior Job Experience

• Experience building continuous integration/deployment pipelines.
• Experience with any of the following:
• The Testing Pyramid and how to effectively apply it
• Multi-threading and concurrency
• Debugging, performance profiling and optimization
• Object-oriented and service-oriented application development patterns
• Experience with native/cross-platform Mobile development
• Adept and comfortable communicating with team members and external business stakeholders of all levels
• Demonstrated ability to find creative ways of improving and simplifying solutions, systems, and processes without getting bogged down in blockers or bottlenecks.
• Experience in modern and classical neural networks including LLMs, CNNs and RNNs, Agentic AI and Autonomous Agents, RAG architecture, and MLOPs

Skills, Licenses & Certifications

• Proficiency with the following technologies:
• Programming Languages: Java, Python, C#, Javascript/Typescript
• Frameworks: Spring/SpringBoot, FastAPI
• Front End Technologies: Angular/React
• Deployment Technologies: Kubernetes, Docker
• Source Control: GitHub, Azure DevOps
• CICD: GitHub Actions, Azure DevOps
• Data management: PostgreSQL, MongoDB, Redis
• Integration/APIs Technologies: Kafka, REST, GraphQL
• Cloud Providers such as Azure and AWS
• Test Automation: Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq
• Ability to optimize solutions for performance, resiliency and reliability while maintaining an eye toward simplicity.
• Ability to concisely convey ideas verbally, in writing, in code, and in diagrams.
• Proficiency in object-oriented design techniques and principles
• Proficiency in Agile frameworks and methodologies
• Proficiency in DevOps Toolchain