Senior Associate - AI Engineer

Location Designation: Hybrid - 3 days per week 

New York Life’s AI and Data team delivers innovative data, insights, and AI solutions across the organization. The AI team works on a diverse portfolio of AI and GenAI initiatives, combining agile and entrepreneurial ways of working with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we partner closely with business stakeholders through all stages of model development—from ideation to deployment. The team brings together product managers, data scientists, MLOps engineers, program managers, model validation and governance experts, and communications and development professionals.

You will contribute to the design, build, and maintenance of a platform that enables the development and deployment of AI and Data solutions, helping to evolve and support an industry-leading MLOps technology stack.

What You’ll Do:

• Contribute to the design, build, and support of a modern MLOps platform used across AI & Data teams
• Design, implement, and operate secure, scalable DevOps and MLOps CI/CD workflows for data and ML applications and services
• Develop and maintain on-premises and AWS-based data and ML infrastructure, including containerized training and inference and workflow orchestration (e.g., Airflow)
• Partner with Technology (IT), SRE, and Security teams to integrate networking, identity, secrets management, and observability while ensuring compliance and governance
• Serve as a platform subject matter expert by contributing to solution design, codifying best practices, and producing clear documentation and runbooks
• Work both independently and collaboratively as part of an agile team
• Support Scrum ceremonies by contributing to story creation, sprint planning, and sprint goals
• Communicate technical concepts clearly and effectively to a diverse set of stakeholders
• Stay current with emerging MLOps trends and technologies and identify opportunities to improve the platform and tooling

What You’ll Bring:

• 6+ years of industry experience in software engineering, data engineering, DevOps, MLOps, or a related field
• Expert-level experience with cloud compute environments, particularly AWS, and cloud-native tools; Terraform proficiency required
• Hands-on experience with containers (Docker), container orchestration (Kubernetes), and workflow orchestration/DAGs (e.g., Airflow)
• Strong experience with AWS services such as EKS, EC2, S3, IAM, and CloudWatch; familiarity with SageMaker or similar platforms is a plus
• Solid understanding of CI/CD and DevSecOps best practices, including Git branching strategies, pull requests, code reviews, and artifact or security scanning (e.g., Jenkins, GitHub Actions, GitLab CI)
• Good command of SQL with familiarity working with relational databases
• Experience supporting both batch and real-time inference using REST, gRPC, or streaming architectures
• Proficiency in Python and Bash, with working knowledge of infrastructure-as-code tools such as Terraform and Helm
• Agile mindset with experience working in iterative, collaborative delivery models
• Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across teams
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Preferred

• Understanding of machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
• Experience with big data or lakehouse platforms such as Redshift, Snowflake, Databricks, Hadoop/Spark, or EMR
• Experience in insurance or financial services, including familiarity with model validation and governance in regulated environments

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Pay Transparency

Salary Range: $124,000-$177,000 

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 here to 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.

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Job Requisition ID: 93359