Senior AI Engineer

Job Posting Organization:
The organization is the largest nonprofit dedicated to combating poverty, disease, and inequity globally. Founded on the principle that everyone deserves the opportunity to lead healthy and productive lives, the foundation emphasizes diversity among its employees to reflect the populations it serves. It offers a comprehensive benefits package that includes medical, dental, and vision coverage without premiums, generous paid time off, paid family leave, retirement contributions, regional holidays, and opportunities for community engagement. The foundation is committed to fostering a workplace environment that supports both personal and professional growth.

Job Overview:
As a Senior AI Engineer, you will play a crucial role in designing, building, and deploying AI solutions that cater to the needs of foundation and affiliate staff worldwide. This position requires a strong technical background and a hands-on approach to developing scalable, secure, and reliable AI systems that address real organizational challenges. You will be responsible for translating defined problem statements into effective technical solutions, collaborating closely with team members, and contributing directly to the implementation and delivery of AI initiatives. Your work will involve designing solutions, integrating systems, and ensuring that the solutions are production-ready and adhere to engineering best practices. You will also be expected to identify opportunities for improving performance, usability, and scalability of AI capabilities, while contributing to code quality and documentation to strengthen the team's engineering discipline.

Duties and Responsibilities:
Your responsibilities will include developing and implementing agentic AI systems, designing and deploying scalable AI/ML solutions using Python and Microsoft Azure services, integrating AI capabilities into enterprise applications, and translating business and technical requirements into robust solutions. You will collaborate with engineers and stakeholders to ensure alignment with requirements, contribute to solution design discussions, and utilize AI-assisted development tools to enhance efficiency. Additionally, you will be responsible for deploying, monitoring, and optimizing AI solutions, troubleshooting issues, and contributing to reusable components and engineering standards for AI development. Your role will also involve supporting data preparation and prompt engineering processes to improve model performance and staying updated with emerging AI technologies to enhance solutions.

Required Qualifications:
Candidates must possess a Bachelor’s degree or equivalent experience, typically requiring an advanced degree or equivalent experience along with a minimum of 8 years of relevant experience. Strong analytical and problem-solving skills are essential, along with a commitment to operational excellence and continuous learning. Proficiency in Python programming is required, as well as hands-on experience with AI-assisted coding tools and state-of-the-art LLMs. A deep understanding of data privacy, security" style="border-bottom: 1px dotted #007bff !important;">security, and compliance considerations in AI systems is necessary, along with excellent communication skills to engage with teams and stakeholders effectively. Experience with cloud technologies, particularly Azure, is preferred, and knowledge of ethics in AI and agile development methodologies is beneficial.

Educational Background:
The position requires a Bachelor’s degree or equivalent experience, with a preference for candidates holding an advanced degree. The educational background should ideally include coursework or training in computer science, artificial intelligence, data science, or related fields that provide a strong foundation for the technical skills required in this role.

Experience:
Candidates should have a minimum of 8 years of prior relevant experience, with at least 3 years of professional experience working with cloud technologies, preferably Azure. Experience in deploying, monitoring, and maintaining ML/LLM systems in production environments is crucial, along with a proven ability to prototype and productionize innovative AI solutions that deliver measurable business value.

Languages:
While the job description does not specify mandatory languages, proficiency in English is likely essential given the nature of the role and the organization. Additional language skills may be beneficial but are not explicitly required.

Additional Notes:
This is a limited-term position for 24 months, located in Seattle, Washington, with a hybrid work model requiring 50% in-office presence. The salary range for this role is between $157,400 to $236,000 USD, with higher ranges for Seattle and Washington D.C. The foundation emphasizes a commitment to diversity, equity, and inclusion in its hiring practices and provides accommodations for candidates with disabilities. Employment is contingent upon successful completion of a background check, and candidates must be legally authorized to work in the United States without visa sponsorship.