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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Software Engineer - AI Innovation Team - **Company:** Boeing Company - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $141,800.0 - $173,300.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Computer-Aided Design, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Unit Testing, Microsoft Azure, Encodings, Continuous Integration, Software Debugging, Programming Tools, Github, Python (Programming Language), Machine Learning, Node.Js, Performance Tuning, Azure Machine Learning, Secure Coding, SQL Databases, TypeScript, Enterprise Software Applications, ReactJS, Delivery Pipeline, Prompt Engineering, Git, Kubernetes, Information Technology, Production Code, Machine Learning Operations, Teamcity, Data Pipelines, Jenkins - **Published:** June 19, 2026 - **Apply:** https://diversityjobs.com/career/17325155/Sr-Software-Engineer-Ai-Innovation-Team-Georgia ## About the Role * Bachelor's degree in computer science or equivalent experience. * Minimum 5 years of experience designing software and writing production code in a team environment. * Proficiency in one or more major stacks (e.g., Node.js, TypeScript/React, Python), including demonstrated experience integrating AI/ML services into production applications. * Experience with SQL and cloud platforms (Azure/AWS/GCP), including services used in AI/ML solution development, deployment, monitoring, and optimization. * Strong understanding of secure coding standards, testdriven development, and responsible AI practices, including validating, monitoring, and safeguarding model outputs. * Excellent verbal and written communication skills with the ability to mentor staff and contribute to technical strategy, standards, or best practices. * Proficient in using AI-augmented workflows to streamline coding, debugging, and documentation using AI coding assistants., * Experience designing AI enabled architectures or leading AI feature development in production environments. * Knowledge of containers and orchestration (Kubernetes preferred). * Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, TeamCity). * Deep understanding of TDD and testing methodologies. * Proficiency with Git and branching standards. * Knowledge of ML Ops, vector databases, embedding pipelines, or advanced prompt engineering techniques. ## Description As a Sr. AI Software Engineer, you'll play a key role in bringing advanced AI capabilities into applications that matter. You'll design and optimize scalable, secure, and maintainable software solutions while shaping how AI technologies are adopted across our organization. From integrating machine learning models and generative AI services to guiding best practices and architecture decisions, your work will directly influence performance, innovation, and long-term technical direction. To join our dynamic team, we require candidates to be residents of WA, OR, ID, AZ, TX, GA, SC, VA, CA, or NC. If you're located in Washington state and within a reasonable driving distance from Tukwila, we are requesting that you come into our HQ on Tuesdays & Wednesdays. For those candidates that live outside the commute distance of TFC and in any of our approved remote work locations, this role will be remote. Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. WHAT YOU'LL DO: * Build AI Powered Features: Develop and implement moderate to complex application features and services, including highimpact components that integrate AI/ML models or AI service APIs. * Design Scalable Systems: Design scalable maintainable, and secure solutions, ensuring AI systems align with long-term strategies and enterprise standards. * Champion Engineering Excellence: Write high quality, welltested code and guide peers in adopting best practices for AI workflow integration, model interaction, and external AI service management. * Troubleshoot AI Performance: Conduct advanced troubleshooting of AI related issues, such as model performance degradation, inference bottlenecks, prompt optimization challenges, and data pipeline inconsistencies. * Drive Innovation Opportunities: Identify transformative opportunities in AI integration patterns, automation strategies, development tools, and deployment pipelines. Mentor junior staff in AI technologies, coding practices, and decision-making. * Ensure Quality & Reliability: Perform unit testing and identify defects in traditional and AI-augmented code paths to strengthen shared ownership of application and AI integration quality. * Collaborate Cross Functionally: Partner with cross functional teams to evaluate new AI capabilities, assess technical feasibility, and contribute to the roadmap for AIenabled features and platforms. * Share Knowledge: Share knowledge and best practices within the team by documenting patterns for AI integration, participating in learning sessions, and supporting a continuous learning environment around evolving AI technologies., * Meaningful Impact: Shape how AI capabilities are embedded into real-world enterprise applications. * Technical Growth: Work with evolving AI technologies, from generative AI to modern ML pipelines and cloud platforms. * Leadership Opportunities: Mentor others, influence coding standards, and help define the technical direction for AI initiatives. * Collaborative Culture: Partner with cross-functional teams to solve complex problems and drive innovation together. * Continuous Learning: Stay at the forefront of AI advancements through hands-on experimentation and shared knowledge. ## Related Videos - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [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) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)