Internship Automation Engineer Jobs in Hackensack, NJ

Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees. Grounded in New York Life's culture of long-term commitment, integrity and putting people at the center of what we do, our work reflects a purpose-driven approach to innovation.

We engineer complex systems that translate into measurable business outcomes. Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader with the opportunity to work with leading-edge technologies and help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.

Shape your future with a dynamic internship experience at New York Life. Your internship journey is designed to challenge you through hands-on work experience that will equip you with valuable skills you can use anywhere. You will build your network through collaboration and connection with talented interns and experienced employees through team-building activities, a collaborative intern capstone, and fun social events. By the end of your internship, you'll be equipped with new skills and a network that will propel you forward in your career journey.

What You'll Do: 

Focus on designing, developing, and enhancing software applications that support business and customer needs. Build and maintain secure, scalable, and high-performing solutions using modern programming languages, development frameworks, AI-driven development and cloud-native technologies. Collaborate with product owners, designers, and engineers throughout the software development lifecycle, including requirements gathering, coding, testing, deployment, and maintenance. Translate requirements into modular, testable components and apply Agile and DevOps practices to deliver features efficiently, while leveraging automation and intelligent assistance to improve productivity, code quality, and user experiences.

Required Skills: 

• Undergraduate or Graduate pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Electrical Engineering, Mathematics, Physics, or a related technical field
• Strong understanding of Linux/Unix and Windows environments, proficiency in at least one programming language (such as C, C++, Java, or C#)
• knowledge of data structures, algorithms, object-oriented programming, database concepts, and scripting

Eligibility Criteria: 

• Currently pursuing a bachelor's or master's degree with an expected graduation date of December 2027 or May 2028
• Available to work full-time for the entire duration of the 11-week Summer Internship Program (May 25 - August 6, 2027)
  
• Able to work in a hybrid environment, with three days per week on-site in New York City
  
• Passionate about technology, data, AI, and innovation, with a collaborative mindset and a desire to learn and make an impact

To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employment-based immigration sponsorship for this program. Likewise, this program is not available to those authorized to work under optional practical training (OPT) or curricular practical training (CPT). 

As part of the Technology, Data & Analytics Ventures (TDAV) Internship Program, this posting represents one of seven specialized internship opportunities: AI Engineer (MLOps), Software Engineer, Data Engineer, Platform Engineer, Security Engineer, Data Scientist, and Analyst. We encourage candidates to explore all available TDAV internship postings and apply for the role(s) that best align with their skills, interests, and career aspirations.

Curious what it's like to intern at NYL? Check out #NYLEarlyCareers on LinkedIn!

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