Sr. Software Engineer - AI Innovation Team

Boeing Company
United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$141,800.0 - $173,300.0
Working hours
Regular working hours

Tech stack

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
+21 more
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

Job 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.

Requirements

  • 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.

Benefits & conditions

The Target Pay Range for this position is $141,800.00-$173,300.00 annually. The full Pay Range is $110,100.00 - $204,900.00 annually. At BECU, compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.

BENEFITS - because people helping peoplestarts with supporting you

  • 401(k) Company Match (up to 3%)
  • 4% annual contribution to your 401(k) by BECU
  • Medical, Dental and Vision (family contributions as well)
  • PTO Program + Exchange Program
  • Tuition Reimbursement Program
  • BECU Cares volunteer time off + donation match

About the company

Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits?

Our ā€œpeople helping peopleā€ philosophy has guided us since 1935, driving our deep commitment to serving our members, communities, and each other. When you join our team, you become part of a purpose-driven organization where your work makes a real difference.

While we’re proud of our history, we’re even more excited about our future. With business and technology transformation on the horizon, there’s never been a better time to be part of BECU.

You bring more than your expertise to your role, and that matters here. Your story, perspectives, and lived experiences help shape belonging at BECU and deepen how we connect with and support our employees, our members, and our communities.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on diversityjobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer Ā· Coffee With Developers

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters Ā· WWC 2023

1:02 min

Applying an ETL methodology to infrastructure configuration management

Axel Barbier Ā· WWC 2023

1:49 min

Augmenting junior and principal engineering roles with AI

Neel Sundaresan Neel Sundaresan +1 Ā· WWC Europe 2026

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 Ā· Coffee With Developers

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou Ā· Coffee With Developers

Videos

See all

Related articles

See all