AI Platform Engineer (Google Cloud Platform)
The Hartford22 hours ago
Remote, United States +4 moreStaff+
Base Salary
$128k - $191k/yr
Responsibilities
- Develop company-specific AI platform features beyond core cloud and vendor capabilities.
- Research and implement GenAI algorithms, tools, and technologies.
- Explore AWS, Google Cloud Platform, and Azure services for GenAI and ML workloads.
- Enhance platform functionality across AI, ML, agentic frameworks, and modern data technologies.
- Develop and promote AI, ML, and data engineering best practices.
- Architect and design end-to-end solutions at the component level.
- Collaborate with Enterprise Data, Data Science, Business, Cloud Enablement, and Enterprise Architecture teams.
- Manage engineering execution and optimize workflows with minimal guidance.
- Provide technical mentorship and career growth opportunities.
- Review systems-level engineering work against project and business expectations.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
- 8+ years of experience building and shipping enterprise software or platform solutions.
- Python programming experience is preferred.
- 3+ years of experience with Terraform.
- Proven Google Cloud Platform experience, including GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE, and Docker.
- Experience with AWS or other cloud providers is a plus.
- Experience with CI/CD pipelines, automated testing and deployments, unit testing, and integration testing tools.
- Experience building scalable real-time or batch serverless applications.
- Knowledge of distributed NoSQL databases, data engineering, and ETL technology.
- Experience with conversational UX/UI, chatbots, human-agent interaction, information retrieval, vector embeddings, and hybrid or semantic search is a plus.
- Knowledge of RAG customization techniques, model fine-tuning, retrieval re-ranking, HNSW, and product quantization is a plus.
- Experience with embeddings, approximate or k-nearest-neighbor search, vector stores, database optimization, and performance tuning is a plus.
- Experience with LangChain, LlamaIndex, LangSmith, LangGraph, or Google Agent Development Kit is a plus.
- Experience with GenAI guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.
- Foundational understanding of natural language processing and deep learning.
- Strong problem-solving, collaboration, and communication skills.
- Must be authorized to work in the United States without company sponsorship; the company will not support the STEM OPT I-983 Training Plan endorsement.
Benefits
- Hybrid or remote work arrangement; employees near an office are expected to work onsite Tuesday through Thursday, while remote employees may need to visit an office as business needs arise.
- The role offers technical mentorship and career growth opportunities.
- Additional rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition.
Categories
About The Hartford
The Hartford Financial Services Group is a U.S. insurer providing property and casualty coverage, group benefits, and investment products to individuals and businesses. It distributes policies through independent agents, brokers, and employer-sponsored plans, and offers mutual funds through Hartford Funds. Founded in 1810 and headquartered in Hartford, Connecticut, the company is publicly traded on the NYSE under the ticker HIG.