The Hartford

AI Platform Engineer – Google Cloud Platform

The Hartford

full-time

Posted on:

Location Type: Hybrid

Location: ConnecticutIllinoisUnited States

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Salary

💰 $137,000 - $206,000 per year

Job Level

About the role

  • Develop value-added features tailored to company specific work, above and beyond the core capabilities of the cloud platform and relevant vendor tools
  • Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies
  • Explore new services and capabilities in AWS, Google Cloud Platform, and Azure to support GenAI and ML services
  • Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies
  • Develop and promote best practices in AI, ML, and data engineering across teams
  • Architect and design end-to-end solutions at a component level
  • Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams
  • Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance
  • Provide technical mentorship and career growth opportunities for team members
  • Review work of systems-level engineers to calibrate deliverables against project and business expectations

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, or a technical field
  • 8+ years building and shipping software and/or platform solutions for enterprises
  • Programming experience with Python is preferred
  • 3+ years of experience with Terraform
  • Proven experience with Google Cloud Platform (GCP)
  • Experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker is a must
  • Proven experience in working with other cloud providers such as AWS cloud is a plus
  • Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools
  • Experience with building scalable serverless applications (real-time/batch) using cloud technologies
  • Knowledge of distributed NoSQL database systems and data engineering, ETL technology
  • Conversational UX/UI design (chatbots) and Human-Agent-Interaction (HAI) is a plus
  • Experience with IR, vector embedding, and Hybrid/Semantic search technologies
  • Foundational understanding of Natural Language Processing and Deep Learning
  • Excellent problem-solving skills and the ability to work in a collaborative team environment
  • Excellent communication skills
  • Candidate must be authorized to work in the US without company sponsorship.
Benefits
  • Other rewards may include short-term or annual bonuses
  • long-term incentives
  • on-the-spot recognition
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonTerraformGoogle Cloud PlatformGCP BigQueryCloud FunctionsAI PlatformAPI GatewayGKEDockerNatural Language Processing
Soft Skills
problem-solvingcollaborativecommunicationtechnical mentorshipcareer growth facilitation