Senior Associate, Senior Engineer - Institutional Life Technology

FlagshipKansas; Overland Park (KS); Hybrid; USD 120,000 - 150,000; Full time

Job summary

New York Life Insurance Company is seeking a Senior Engineer, Institutional Life Technology, to design and maintain AWS data infrastructure, Salesforce integrations, and AI-enabled solutions in a regulated financial-services environment. You will work hands-on across data, cloud, and AI platforms to deliver secure, scalable capabilities.

The role emphasizes collaboration with architects and business partners, incident response, monitoring improvements, and ensuring data governance, security, and

Qualifications

• Bachelor’s degree or equivalent experience.
• 6+ years of professional experience in software, data, cloud engineering, or related tech.
• 1+ year hands-on experience building or supporting AI/LLM solutions (prod or advanced prototyping).
• Hands-on AWS engineering experience with services like S3, Glue/PySpark, Redshift, Lambda, Step Functions, EventBridge, CloudWatch, and Secrets Manager, plus SQL, DBT, Terraform, CI/CD, and automated testing.
• Salesforce development or integration experience with Apex, Flow Builder, Change Data Capture, SFDX, and enterprise data integration patterns.
• Practical AI experience with Amazon Bedrock including RAG implementation, prompt engineering, and tool/function calling; familiarity with agentic AI concepts and multi-step orchestration.
• Strong Python and SQL skills with experience developing data pipelines, APIs, integrations, automation, or production applications.
• Experience troubleshooting production systems and collaborating across teams to resolve complex issues and improve processes.

Responsibilities

• Design, build, and support AWS data solutions with Glue/PySpark, Redshift, Lambda, and Terraform.
• Develop and support Salesforce solutions using Apex, Flow Builder, CDC, and SFDX; integrate Salesforce with AWS and downstream platforms.
• Build AI-enabled and RAG solutions using Amazon Bedrock and IL Quick; apply prompt engineering and knowledge retrieval patterns.
• Develop IL Quick applications, workflows, automations, agents, and analytics with proper security and governance.
• Troubleshoot production issues, improve monitoring and runbooks, and collaborate to improve reliability and engineering practices.

Skills

AWS data infra

Salesforce integration

Python

SQL

AI/LLM

Production support

Problem solving

Cloud engineering

Education

Bachelor’s degree or equivalent

Tools

Apex

SFDX

dbt

Terraform

Job description

at New York Life Insurance Company in Overland Park, Kansas, United States

Job Description

Job Requisition ID: [[id]]

Role Overview:

As a Senior Engineer, Institutional Life Technology, you will be a hands‑on engineer supporting and enhancing Institutional Life’s technology ecosystem across AWS data infrastructure, Salesforce CRM , IL Quick, AI‑enabled solutions, integration services, and production operations. You will apply advanced engineering expertise to solve complex technical problems, recommend effective solutions, and collaborate across teams to deliver secure, reliable, and governed technology capabilities in a regulated financial‑services environment.

What You’ll Do:

• Design, build, enhance, and support AWS data solutions using services such as Glue/PySpark, Redshift, Lambda, Step Functions, EventBridge, DBT , and Terraform, including data reconciliation, testing, deployment, and performance optimization.
• Develop and support Salesforce solutions using Apex, Flow Builder, Change Data Capture, and SFDX , and collaborate on integrations between Salesforce, AWS , and downstream data platforms.
• Build and enhance AI‑enabled and RAG solutions using Amazon Bedrock and IL Quick, applying established patterns for prompt engineering, knowledge retrieval, agent workflows, testing, guardrails, and human review.
• Develop IL Quick applications, workflows, automations, agents, and analytics that address business requirements while applying appropriate security, data access, provenance, and compliance controls.
• Troubleshoot complex production issues, improve monitoring and runbooks, participate in incident response, and collaborate with architects, engineers, and business partners to recommend improvements to reliability and engineering practices.

What You’ll Bring:

You bring advanced hands‑on engineering expertise and the ability to work independently across cloud, data, integration, and AI‑enabled technologies. You use sophisticated analytical thinking to diagnose complex issues, evaluate alternatives, and recommend practical solutions. You communicate technical concepts effectively, collaborate across related disciplines, and understand how security, reliability, data governance, and regulatory requirements influence technology design and delivery.

Required Skills:

• Bachelor’s degree and/or equivalent experience.
• 6+ years of relevant professional experience in software engineering, data engineering, cloud engineering, or related technology disciplines.
• 1+ year of hands‑on experience building or supporting AI/ LLM solutions (production or advanced prototyping)
• Hands‑on AWS engineering experience with services such as S3, Glue/PySpark, Redshift, Lambda, Step Functions, EventBridge, CloudWatch, and Secrets Manager, along with SQL , DBT , Terraform, CI/CD, and automated testing.
• Salesforce development or integration experience with technologies such as Apex, Flow Builder, Change Data Capture, SFDX , and enterprise data integration patterns.
• Practical AI experience with Amazon Bedrock including RAG implementation, prompt engineering, and tool/function calling; familiarity with agentic AI concepts and multi‑step orchestration
• Strong Python and SQL skills with experience developing data pipelines, APIs, integrations, automation, or production applications.
• Experience troubleshooting production systems and collaborating across technical and business teams to resolve complex issues and improve processes.

Preferred Skills:

• Experience with IL Quick/QuickSight, agentic AI frameworks, MCP , vector databases, streaming technologies, or LLM evaluation tooling.
• AWS and/or Salesforce certifications, such as AWS Solutions Architect or Salesforce Platform Developer II.
• Exposure to agentic AI frameworks such as LangChain, LlamaIndex, LangGraph, or CrewAI
• Experience with vector databases, streaming technologies, or data governance platforms
• Experience with security controls, observability, SRE practices, or AI governance in enterprise environments.
• Life insurance, BOLI / COLI , financial services, or other regulated‑industry experience.

#LI-SV1

#LI- HYBRID

Pay Transparency

Salary Range: [[cust_salaryRangePosting]]

Discretionary bonus eligible: [[cust_merit]]

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.

Company Overview

At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI‑enabled organization, we remain grounded in the values that drive lasting impact.

Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem‑solving, and purpose‑driven innovation. Here, you’ll find the rare balance of long‑standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.

As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.

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.

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.

Recognized as one 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 (http://www.newyorklife.com/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 theCareers (https://www.newyorklife.com/about/careers/) page of www.NewYorkLife.com .

Visit ourNewsroom (https://www.newyorklife.com/newsroom) to learn more about how our company is constantly evolving to meet our clients’ and employees’ needs.