Return To Search
AI Platform Engineer
Location: Seattle, WA
Job Type: Contract
Company: IDR
Category: Development and Architecture
Are you passionate about building innovative solutions at the intersection of artificial intelligence and scalable data platforms? Consider joining a leading technology team as an AI Platform Engineer (AI/ML Engineer), where you will architect, develop, and optimize AI-driven applications and data services within a dynamic, cloud-native environment. This full-time opportunity in Seattle, WA, allows you to leverage your expertise in AWS, Python, and enterprise metadata systems for an industry-leading organization that values technical excellence and career advancement.
As an AI Platform Engineer, you will play a key role in designing and developing robust, AI-powered applications that drive intelligent data discovery, search, and analytics capabilities for enterprise-scale use cases. You will utilize advanced AWS services such as Bedrock and SageMaker to create scalable, secure, and high-performance data access layers and APIs. Your solutions will enable efficient exposure of Redshift-based data lakes and enterprise metadata systems, fostering seamless integration and optimized performance across the organization’s data engineering platforms.
Collaboration is at the heart of this role. You will work closely with cross-functional Data Engineering teams to ensure seamless integration of AI and data services, and you will lead initiatives around natural language interfaces, intelligent search, and automated data classification. Your technical leadership will help drive innovative projects that enhance the organization’s competitive edge in the rapidly evolving AI space.
AI Platform Engineer - Summary
- Design, develop, and optimize AI-powered applications and scalable data services in a cloud-native, enterprise technology environment in Seattle, WA.
- Leverage AWS technologies, including Bedrock and SageMaker, to build secure and high-performance data access layers and robust APIs.
- Integrate enterprise metadata platforms to enhance data discovery, search, and analytics capabilities.
- Lead AI initiatives focused on advanced natural language processing, intelligent search functionalities, and automated data classification.
- Collaborate with Data Engineering teams to drive seamless integration and continuous improvement of AI/data platforms.
Duties & Responsibilities
- Architect, implement, and maintain secure, scalable APIs and service layers utilizing AWS Lambda, API Gateway, and containerized environments.
- Build and optimize data access layers that expose Redshift-based data lakes and integrate with enterprise metadata systems.
- Drive development of AI-powered applications using Python, leveraging REST and GraphQL for modern API design.
- Lead innovative projects involving natural language interfaces, intelligent search algorithms, and automated data classification systems.
- Partner with Data Engineering and cross-functional teams to ensure seamless platform integration and data pipeline optimization.
- Champion best practices in MLOps, including model deployment, monitoring, and lifecycle management.
- Integrate machine learning frameworks, large language models (LLMs), and vector search technologies to advance enterprise AI solutions.
Salary & Benefits
- Competitive compensation package designed for experienced technology professionals.
- Comprehensive benefits including Medical, Vision, Dental, and more.
- Eligibility for Employee Stock Ownership Program and robust insurance options.
- Opportunity to contribute to and grow within an industry-leading organization with a strong reputation and long-standing market presence.
Qualifications & Requirements
- Advanced proficiency in Python and modern API development (REST and GraphQL).
- Hands-on experience with AWS Bedrock, SageMaker, Lambda, API Gateway, and container-based architectures.
- Demonstrated ability to build high-performance, scalable data services and secure APIs in cloud-native environments.
- Thorough understanding of MLOps practices, including model deployment, monitoring, and lifecycle management.
- Experience with machine learning frameworks, LLMs, and vector search technologies.
Ideal Candidate Snapshot
- Self-motivated and results-driven technology professional eager to work at the forefront of AI and data platforms.
- Excellent problem-solving skills and the ability to lead innovative AI initiatives from concept to implementation.
- Strong collaborative mindset, able to work effectively with Data Engineering and cross-functional teams.
- Demonstrated commitment to continuous learning and staying current with emerging AI/ML trends and cloud technologies.
Other Relevant Information
- Full-time employment opportunity based in Seattle, WA, with a chance to work in one of the nation’s premier technology hubs.
- Company recognized for its commitment to employee success, industry leadership, and award-winning workplace culture.
- Long-standing expertise in technology consulting and staffing, providing a stable and growth-oriented environment.
- Inclusive and equitable hiring practices: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
- Compliance with all governmental recordkeeping, reporting, and civil rights administration requirements.
If you are ready to elevate your career as an AI Platform Engineer and leverage your expertise to drive impactful AI solutions, click the apply button to submit your application today!