Location Designation: Hybrid - 3 days per quarter

Our New York Life culture has laid the foundation for over 180 years of commitment to our employees, agents, policy owners, and the communities where we live and work. Here you become a valued part of a welcoming, inclusive, and caring organization with a long-standing legacy in stability and growth. The strength revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance.

As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities. You will be part of an inclusive team guided by our belief to always be there for each other-providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.

You are our future, and we commit to investing in you accordingly.

As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth - driving the company's success.

What you'll do

Designing, developing, implementing, and maintaining a product roadmap for Amazon's AI and Compute product lines.
The role will entail designing and implementing cloud solutions like AMI pipelines, best practice guides, user facing documentation on the use of these product lines.
Troubleshooting and problem solving, ensuring security and compliance, collaborating with stakeholders.
Staying up to date with cloud technologies.

What you'll bring

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
4+ years of experience designing and managing AWS cloud infrastructure, with a focus on compute, storage, and AI/ML services.
Hands-on experience with AWS services: EKS, EC2, ECS, ECR, Fargate, Lamda, and Image Builder, CloudFormation/Terraform.
Proficient in container technologies (Docker) and orchestration via Kubernetes (Amazon EKS).
Strong scripting/automation skills (Python, Bash, or similar).
AWS certifications (e.g., AWS Certified Solutions Architect - Associate/Professional, AWS Certified Machine Learning - Specialty).
Experience with MLOps tools such as SageMaker Pipelines, MLflow, or Argo Workflows.
Exposure to DevOps practices, CI/CD pipelines, and Git-based workflow for infrastructure.
AWS Proficiency: Strong knowledge of at the AWS cloud platform and its associated services.
Compute Services: Kubernetes, EKS, EC2, ECS, ECR, Fargate, Lamda, and Image Builder
AI and ML Services: SageMaker,BedRock, Kendra, Lex, Textract, and other related AI and ML services
Cloud Architecture and Design: Understanding of cloud architecture principles, including infrastructure as code, microservices, and serverless computing.
IaC and Automation: Proficiency with Terraform, Lambda, and other languages like Python, Golang for automating tasks, managing infrastructure, and creating deployment pipelines.
Networking and Security: Understanding of networking concepts, security best practices, and how they apply to cloud environments.
Problem-Solving and Troubleshooting: Strong analytical and problem-solving skills to identify and resolve technical issues.
Communication and Collaboration: Excellent communication skills to effectively interact with technical and non-technical stakeholders.
Continuous Learning: A commitment to staying current with the rapidly evolving cloud landscape and learning new technologies.
Coding/Version Control: Familiar with the use of GitHub, GitLab, IDEs and other development version control and development technologies.

Pay Transparency

Salary Range: $144,000-$205,000

Overtime eligible: Exempt

Discretionary bonus eligible: Yes

Sales bonus eligible: No

Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

Our Benefits

We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion

At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.

Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.

Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.

Job Requisition ID: 92158

Corporate Vice President, Cloud Solution Engineer - AI/Compute

Job Type