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About the Role

We are seeking a senior software engineer with AI expertise to help design and deliver modern, cloud-native agentic AI solutions. This role sits within our core systems team and partners closely with engineers, architects, data scientists, and product teams to build scalable, secure, and highly available solutions leveraging AWS, GCP, APIs, DevSecOps, and AI. You will play a key role in advancing automation, developer productivity, and AI-enabled capabilities while contributing to enterprise standards and best practices.

Responsibilities

Design, build and deploy cloud-native applications and platforms on AWS and GCP
Apply AI and automation to improve developer experience and productivity
Design and consume APIs and reusable services
Ensure solutions meet security, performance, resilience, and compliance standards
Support already existing generative and agentic AI applications
Collaborate with cross-functional teams in an Agile delivery environment
Contribute to architecture evolution, technical standards, and engineering best practices in the space of agentic AI

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field
5-7 years of software engineering experience building production-grade systems
Hands-on experience with AWS or GCP, cloud-native architecture, and infrastructure as code (Terraform)
Previous work using agentic frameworks for multi-agent orchestration (e.g. LangChain, Google ADK)
Experience building and deploying AI or Agentic AI use cases in production environments
Proficiency in data orchestration, vector database management, and data evaluations to optimize usage with LLMs
Proficiency with modern programming and scripting languages (e.g., Python, JavaScript, TypeScript)
Experience with containerization (EKS/ECR), APIs development, and modern development tools (GitHub, Jira)
Strong communication skills and ability to work effectively with technical and business partners
Experience in financial services, insurance, or wealth management
Experience with LLM-based solutions and emerging AI technologies
Familiarity with DevSecOps platforms (e.g., Harness)
Relevant certifications in cloud, DevSecOps, or AI

Skills

AI
Cloud-native architecture
AWS
GCP
APIs
DevSecOps
Agentic AI
Automation
Infrastructure as code
Terraform
Agentic frameworks
LangChain
Google ADK
Data orchestration
Vector database management
Data evaluations
LLMs
Python
JavaScript
TypeScript
Containerization
EKS
ECR
GitHub
Jira

Location

Hybrid

Work Type

Hybrid - 3 days per week
Exempt

Experience Level

Senior
5-7 years

Education Level

Bachelor’s degree in Computer Science, Engineering, or related field

Salary/Compensations

$100,000-$143,000

Benefits

Leave programs
Adoption assistance
Student loan repayment programs
Annual discretionary bonus
Incentive program

About the Company

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.

Equal Opportunity

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.