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Lead AI Engineer
Guardian Life. Architect enterprise-scale Agentic AI solutions .
Posted 11/6/2026full-timeNew York City • New York • United StatesSenior💰 $121,350 - $199,365 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced expertise in machine learning engineering, distributed systems, and cloud infrastructure, with a strong focus on developing and deploying scalable AI solutions that align with enterprise security and compliance requirements. Proven ability to mentor junior engineers and collaborate effectively across teams to enhance operational efficiency and customer satisfaction.
Highest-signal resume keywords
Machine Learning EngineeringDistributed SystemsCloud InfrastructureLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG) Pipelines
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Machine Learning EngineeringDistributed SystemsCloud InfrastructureLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG) PipelinesModel Orchestration FrameworksAgentic FrameworksSecure API SolutionsAI Solutions AlignmentEnterprise Security Compliance
Soft Skills
CollaborationMentoringDecision-Making
Tools & Technologies
AI PlatformsModel Orchestration FrameworksAgentic FrameworksSecure APIs
Industry Keywords
Enterprise AIDigital EnterpriseGovernanceComplianceOperational Efficiency
Tech Stack
Tools & technologiesCloudDistributed Systems
About the role
Key responsibilities & impact- Architect enterprise-scale Agentic AI solutions
- Develop, deploy, and support scalable AI systems
- Build systems using LLMs, RAG pipelines, model orchestration frameworks, Agentic frameworks, and secure APIs
- Automate Guardian’s business processes and improve decision-making
- Ensure AI solutions align with enterprise security, governance, and compliance requirements
- Collaborate with data scientists, software engineers, infrastructure teams, product teams, and business partners
- Evaluate emerging technologies
- Contribute to the enterprise AI and digital enterprise roadmaps
- Build core AI capabilities
- Mentor junior engineers
- Improve operational/process efficiency, customer/client satisfaction, and enterprise/corporate automation capabilities
Requirements
What you’ll need- Advanced knowledge of machine learning engineering
- Advanced knowledge of distributed systems
- Advanced knowledge of cloud infrastructure
- Advanced knowledge of various AI platforms
- Experience with Large Language Models (LLMs)
- Experience with retrieval-augmented generation (RAG) pipelines
- Experience with model orchestration frameworks
- Experience with Agentic frameworks
- Experience with secure API solutions
- Ability to align AI solutions with enterprise security, governance, and compliance requirements
- Legally authorized to work in the United States without employer sponsorship now or in the future
Benefits
Comp & perks- Skill-building opportunities
- Leadership development opportunities
- Philanthropic opportunities
- Supportive, flexible, and inclusive benefits and resources
- Benefits for full-time eligible employees