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AARP

Software Engineer II, AI

AARP

Software Engineer II, AI developing AI solutions at AARP. Collaborating with teams to enhance technology processes and support operations.

Posted 7/27/2026full-timeRemote • Washington • 🇺🇸 United StatesMid-LevelSenior💰 $144,000 - $160,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Generative AI concepts, cloud-native technologies, and DevOps practices, with a strong focus on delivering technical solutions that align with business objectives. Proficient in architecting and developing large-scale distributed systems while ensuring robust integration and security throughout the platform lifecycle.

Highest-signal resume keywords
Generative AI ConceptsAmazon Web Services (AWS)DevOps PipelinesLarge-Scale Distributed SystemsProgramming Languages (Python, Java, Rust, SQL, Node.js)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Generative AI ConceptsDevOps PipelinesLarge-Scale Distributed SystemsProgramming Languages (Python, Java, Rust, SQL, Node.js)Infrastructure as Code (AWS CloudFormation)Agentic SystemsCloud-Native TechnologiesStatic and Dynamic Code AnalysisDeployment Strategies (Blue/Green Deployments)Vector Databases
Soft Skills
Problem SolvingCollaborationInnovationCommunicationContinuous Improvement
Tools & Technologies
AWS LambdaEKSS3GitHubBitbucket
Industry Keywords
Technical RoadmapIntegration ArchitectureData SecurityBusiness ArchitectureCapability Lifecycle

Tech Stack

Tools & technologies
AWSCloudJavaJavaScriptNode.jsPythonRustSQL

About the role

Key responsibilities & impact
  • Establishes a technical roadmap for the platform and/or capability strategy and lifecycle that considers value-based outcomes, costs to maintain, supportability, and performance.
  • Ensures sound integration, data, security, and business architecture design throughout all stages within the platform and/or capability lifecycle.
  • Provides rapid delivery and development of technical solutions that align with business and/or platform desired outcomes.
  • Troubleshoots and resolves technical issues related to platform or capability systems, solutions, and services.
  • Innovates and drives continuous improvements of implementation methodology and technical service offerings based on customer or employee experiences and enterprise objectives.
  • Participates in a Community of Interest for engineers across all capability and platform teams to share information and strengthen understanding of business needs and technology-based solutions.
  • Develops and maintains deep technical knowledge and expertise related to domain area systems, solutions, services, and applications.

Requirements

What you’ll need
  • Bachelor’s degree (or equivalent experience) in Information Technology, Computer Science, Engineering, or a related field.
  • 2+ years of experience with Generative AI concepts, including embeddings, large language models (LLMs), retrieval-augmented generation (RAG), vector databases, and tokenization
  • 3+ years of experience working with public cloud platforms, preferably Amazon Web Services (AWS)
  • 4+ years of experience with DevOps pipelines, including Git-based repositories (e.g., GitHub, Bitbucket), static and dynamic code analysis, Infrastructure as Code (e.g., AWS CloudFormation), and deployment strategies such as blue/green deployments
  • 2+ years of experience with agentic systems, including various agent architectures, frameworks such as LangGraph, orchestration patterns, and building/hosting agents (e.g., orchestrator agents, agents as tools)
  • 3+ years of experience architecting, designing, developing, deploying, and monitoring large-scale distributed and parallel systems using cloud-native technologies (e.g., AWS Lambda, EKS, S3)
  • 4+ years of hands-on programming experience with languages such as Python, Java, Rust, SQL, and/or Node.js

Benefits

Comp & perks
  • 401(k)
  • 100% company-funded pension plan
  • Health, dental, and vision plans
  • Life insurance
  • Paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave
  • Performance-based and peer-based recognition
  • Tuition reimbursement