
Senior AI Solutions Engineer, Data Science
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in New York.
• Design, develop, and manage applications and services powered by LLM, including agentic workflows, retrieval/RAG systems, and classification pipelines utilizing catalog, sales, and operational data.
• Establish and oversee MCP servers and tool integrations that connect AI models and assistants to internal data and systems in a secure and reliable manner.
• Take full ownership of services from start to finish, encompassing architecture, implementation, deployment, evaluation, and monitoring within the AWS/Databricks environment.
• Assess new AI tools and methodologies, conduct structured pilot programs, and spearhead the adoption of effective solutions.
• Enhance the team's AI engineering skills through collaborative sessions, internal demonstrations, pair programming with scientists, and development of internal tools that promote AI utilization.
• Over 3 years of experience in building and delivering production-quality software.
• Practical experience with machine learning or AI systems.
• Proven experience in setting up MCP servers or similar tool-integration layers for AI assistants.
• Familiarity with cloud ML platforms (AWS, Databricks), model APIs (Bedrock, Anthropic, OpenAI), and vector databases.
• Advanced degree (MS/PhD) in computer science, machine learning, or a related quantitative discipline.
• Experience applying AI/ML to commercial challenges such as demand forecasting, pricing strategies, sales and marketing optimization, recommendations, or search functionalities.
• Background in media, publishing, or other content-rich sectors.
• Proficiency in retrieval-augmented generation, embeddings, prompt engineering, agentic patterns, and thorough evaluation of generative systems.
• Strong skills in Python engineering.
• Familiarity with version control, testing, and continuous integration.
• Excellent communication abilities and a talent for mentoring and elevating teammates.
• A resume and cover letter are required for consideration.
• Annual profit award or bonus, contingent upon Company performance.
• Medical/Prescription drug insurance.
• Dental insurance.
• Vision insurance.
• Health Care/Dependent Care Flexible Spending Account.
• Health Savings Account.
• Pre-Tax and Roth 401(k) plans.
• Short- and Long-Term Disability Insurance.
• Life/AD&D Insurance.
• Commuter Benefits.
• Student Loan Repayment Program.
• Educational Assistance.
• Generous paid time off.
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