Senior AI & Analytics Engineer for Automation

CVS Health; EE. UU.; A distancia; USD 120.000 - 170.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, vision coverage

Paid time off

Retirement savings plan

Wellness programs

Incentive program

Descripción de la vacante

CVS Health is seeking an AI/Analytics Engineer to develop AI and analytics solutions across the project lifecycle, from understanding business needs to evaluating outcomes. The role spans building models, agent-based tools, and conversational experiences to augment operations.

You will collaborate with engineering, architecture, product, and business partners to propose AI solutions, assess feasibility, and deliver with quality and on schedule.

Formación

• At least three years of AI or analytics experience.
• Three+ years of Python and SQL programming experience.
• Three+ years of experience with cloud technology.
• Experience developing AI or ML products or decision-support tools, including agents.

Responsabilidades

• Turn business challenges into AI solution proposals, including requirements, prompts, and platform capabilities.
• Deliver AI projects from initial planning through implementation, meeting timelines and quality expectations.
• Build agents or tools for operational automation and decision support, working with engineering, architecture, product, and business partners.
• Analyze structured and unstructured data using statistical and mathematical methods to address complex business questions.
• Develop predictive models, performance metrics, reports, and analyses; assess scenarios and possible outcomes.
• Present findings and recommendations to stakeholders and explain technical implications.

Conocimientos

AI analytics experience

Python programming

SQL programming

Educación

Bachelor's degree or equivalent in a relevant discipline

Herramientas

Cloud platforms (AWS/Azure/GCP)

Agent-based architectures

Descripción del empleo

CVS Health is seeking an AI/Analytics Engineer to develop AI and analytics solutions across the project lifecycle, from understanding business needs to evaluating outcomes. The role spans building models, agent-based tools, and conversational experiences to augment operations.

You will collaborate with engineering, architecture, product, and business partners to propose AI solutions, assess feasibility, and deliver with quality and on schedule.