Sr. Staff AI Engineer (Remote Eligible)
Ladders · United States · 2 wk ago
RemoteRemoteEngineering$286k–$327k/yrFull-time
For our client, we are seeking a Sr. Staff AI Engineer (Remote Eligible) to join the team of a leader in the Finance & Insurance space. This role will help shape advanced AI capabilities that support large-scale financial services operations and customer-facing products. You will collaborate with engineering and cross-functional partners to design, optimize, and support AI systems that balance performance, safety, and scalability. The position also plays a key role in setting technical direction, strengthening deployment practices, and improving how data and model lifecycles are managed across the organization. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $286,200 – $326,700 annually Responsibilities Collaborate with cross-functional teams to deliver impactful AI products Design, develop, test, and support AI software components Utilize AI technologies and tools including AWS and Hugging Face Introduce optimization techniques for large-scale AI systems Contribute to the technical vision for AI systems Establish deployment standards for AI performance and safety Lead initiatives to unify data and model lifecycle management Qualifications Bachelor's or Master's degree in Computer Science, AI, Electrical Engineering, or a related field 8–10 years of AI/ML experience 10+ years of programming experience in Python, Go, Scala, CUDA, or Java Experience architecting AI platforms with considerations for cost and performance Proven leadership and mentoring experience across engineering teams Strong skills in developing and integrating complex AI systems Benefits Comprehensive health benefits Financial wellness programs Incentive compensation including cash bonuses Open to remote work arrangements Growth opportunities in an innovative AI team Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.