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Lead AI/ML Engineering (Flex)

Locations (4)

New Jersey, United States
Atlanta, Georgia, United States
Maryland, United States
Kentucky, United States

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $108,600/year to 231,084/year. Pay is based on several factors including but not limited to, market location and may vary depending on job-related knowledge, skills, and education/training and a candidate’s work experience. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. Hired applicants may be eligible for Medical/prescription drug coverage, Dental coverage, Vision coverage, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance & Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick and Family and Medical Leave time as required by law, and Discounted Employee Stock Purchase Program.

Responsibilities

Leads the design and implementation of enterprise AI, analytics, and intelligent software solutions across cloud and distributed environments.
Translates complex business problems into scalable solutions using generative AI, agentic AI, machine learning, analytics, and automation.
Leads development of AI agents and intelligent applications, including LLM integration, orchestration, retrieval-augmented generation (RAG), semantic retrieval, enterprise data, and tool integration.
Establishes reusable architectures, frameworks, engineering patterns, and components that accelerate delivery across business domains and use cases.
Collaborates across Business, Product, Architecture, Engineering, Data Science, Data Engineering, UX, and Security to deliver enterprise AI capabilities.

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related technical discipline, international equivalent, or equivalent job experience.

Skills

generative AI agentic AI machine learning AI agents LLM integration RAG semantic retrieval prompt engineering AI evaluation cloud-native architectures APIs data pipelines enterprise integrations MLOps LLMOps CI/CD

Benefits

Medical/prescription drug coverage
Dental coverage
Vision coverage
Flexible Spending Account
Health Savings Account

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AI Evaluation jobs

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