AI Platform Engineer – Google Cloud Platform

The Hartford

. Develop value-added features tailored to company specific work, above and beyond the core capabilities of the cloud platform and relevant vendor tools .

Posted 4/21/2026full-timeHartford • Connecticut, Illinois, North Carolina, Ohio • 🇺🇸 United StatesSeniorLead💰 $117,200 - $175,800 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudDockerETLGoogle Cloud PlatformNoSQLPythonTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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
Experience building libraries, frameworks or platforms used across multiple teams is a plus
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
Knowledge about customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, HNSW, and product quantization is a plus
Experience with embeddings, ANN/KNN, vector stores, database optimization, & performance tuning is a plus
Experience with LLM orchestration frameworks like Langchain, LlamaIndex, LangSmith, LangGraph, Google Agent Development Kit, is a plus
Experience with Generative AI Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus
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

Comp & perks

Health insurance
Short-term or annual bonuses
Long-term incentives
On-the-spot recognition

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonTerraformGCP BigQueryCloud FunctionsAI PlatformAPI GatewayGKEDockerCI/CDAutomated Testing

Soft Skills

problem-solvingcollaborationcommunicationtechnical mentorshipworkflow optimizationengineering task management