✦ Luna Orbit — AI & Machine Learning

Principal AI Software & Data Engineer, AI-Enabled Data Engineering Pipeline

at Hartford Financial Services Group

📍 3 Locations Hybrid 💰 $168K – $252K USD / year Posted March 14, 2026
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Position Details

Salary $168K – $252K USD / year
Type Full-Time
Experience senior
Exp. Years 10+ years
Education Not specified
Category AI & Machine Learning

About this role

This role involves designing and leading the development of AI-enabled data engineering pipelines leveraging cloud platforms like GCP and AWS, with a focus on Generative AI and automation.

Key Responsibilities

  • Architect AI data pipelines
  • Lead AI solution development
  • Collaborate on multi-cloud strategies
  • Promote automation and innovation
  • Mentor engineering teams

Technical Overview

The technical environment includes cloud-native architectures, AI frameworks, multi-cloud ecosystems, and tools like Terraform, CloudFormation, and observability platforms.

Ideal Candidate

The ideal candidate is a senior AI/ML engineer with over 10 years of experience in building scalable, cloud-native AI solutions using GCP and AWS. They possess deep expertise in Generative AI, Agentic AI frameworks, and enterprise data platforms, with strong leadership and mentorship skills.

Must-Have Skills

10+ years experience as a Software/Data Engineer or ArchitectExperience with GCP and AWSProficiency in PythonExperience with AgenticAI frameworksKnowledge of cloud-native solutionsExperience with GenAI and Machine LearningExperience with Infrastructure-as-Code (TerraformCloudFormation)

Nice-to-Have Skills

Snowflake Cortex AIStreamlitReactSplunkDynatraceAI automationEnterprise data solutions

Tools & Platforms

Google Cloud PlatformAWSVertexAISnowflake Cortex AITerraformCloudFormationSplunkDynatrace

Required Skills

GCPAWSVertexAISnowflake Cortex AIPythonStreamlitReactTerraformCloudFormationMicroservicesAPI managementEvent-driven architecturesAgenticAI frameworksSplunkDynatraceGenAIMachine LearningAdvanced Analytics

Hard Skills

Google Cloud PlatformGCPAmazon Web ServicesAWSVertexAISnowflake Cortex AIPythonStreamlitReactTerraformCloudFormationMicroservicesAPI managementEvent-driven architecturesAgenticAI frameworksSplunkDynatraceGenAIMachine LearningAdvanced Analytics

Soft Skills

LeadershipMentorshipCollaborationInnovationProblem-solvingCommunication

Industry & Role

Industry Insurance
Job Function Lead the development of AI-enabled data engineering solutions in a cloud environment
Role Subtype AI & Machine Learning Engineer
Tech Domains Google Cloud Platform, Amazon Web Services, Python, Terraform, CloudFormation, Microservices, API management, Event-driven architectures

Keywords for Your Resume

AI engineerMachine LearningGCPAWSVertexAISnowflake Cortex AIPythonAgenticAICloud-native solutionsGenAIAdvanced AnalyticsTerraformCloudFormationSplunkDynatraceData EngineeringData ArchitectEnterprise DataAI automationScalable Data PipelinesCloud-native

Deal Breakers

Lack of experience with GCP or AWS, Less than 10 years experience, No experience with AgenticAI frameworks, Inability to work in hybrid environment, No cloud-native architecture experience

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