Enterprise AI Solutions Engineer | Full-Stack & Cloud

PSEG.com; The Ironbound (NJ); Híbrido; USD 121 000 - 199 000; Tempo integral

Resumo da oferta

PSEG Services Corp in the United States is seeking an AI Solutions Engineer (Full Stack) to evaluate, prototype, design, develop, and deliver enterprise AI solutions across a rapidly evolving technology landscape.

The role partners with business stakeholders and IT teams to rapidly prototype, implement, and operationalize AI capabilities while ensuring security and governance across cloud-based architectures and enterprise platforms.

Qualificações

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 8+ years of experience in software engineering, full-stack development, cloud engineering, or AI/ML solutions.
• Experience prototyping and delivering AI or intelligent automation solutions.
• Strong understanding of cloud platforms, APIs, and modern development practices.
• Excellent communication and stakeholder engagement skills.

Responsabilidades

• Lead design, development, test, and deployment of enterprise AI solutions and AI-enabled apps.
• Architect scalable, secure AI solutions aligned with enterprise standards.
• Collaborate with business stakeholders and IT teams to prototype and operationalize AI capabilities.
• Ensure governance, security, monitoring, and operational readiness of AI solutions.
• Develop rapid proofs-of-concept to validate AI use cases and business value.

Conhecimentos

AI/ML experience

Full-stack development

Cloud engineering

Python

REST APIs

Formação académica

Bachelor’s degree in Computer Science or related field

Ferramentas

ServiceNow

Salesforce

SAP

API integration

Descrição da oferta de emprego

PSEG Services Corp in the United States is seeking an AI Solutions Engineer (Full Stack) to evaluate, prototype, design, develop, and deliver enterprise AI solutions across a rapidly evolving technology landscape.

The role partners with business stakeholders and IT teams to rapidly prototype, implement, and operationalize AI capabilities while ensuring security and governance across cloud-based architectures and enterprise platforms.