AI Platform Engineer (Google Cloud Platform)
The Hartford1 month ago
Chicago, IL, USA +3 moreSenior
Base Salary
$117k - $176k/yr
Responsibilities
- Develop company-specific AI platform features beyond the capabilities of cloud platforms and vendor tools.
- Research, experiment with, and implement GenAI algorithms, tools, and technologies.
- Explore and apply 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 across teams.
- 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 support to team members.
- 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 and/or platform solutions.
- Preferred programming experience with Python.
- 3+ years of experience with Terraform.
- Proven Google Cloud Platform experience, including GCP BigQuery, Cloud Functions, AI Platform, API Gateway, and GKE/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 and batch serverless applications using cloud technologies.
- Knowledge of distributed NoSQL databases, data engineering, and ETL technology.
- Preferred experience with conversational UX/UI, chatbots, and Human-Agent-Interaction.
- Experience with information retrieval, vector embeddings, hybrid or semantic search, vector stores, ANN/KNN, and database optimization.
- Preferred knowledge of RAG customization, model fine-tuning, retrieval re-ranking, HNSW, and product quantization.
- Preferred experience with LangChain, LlamaIndex, LangSmith, LangGraph, or Google Agent Development Kit.
- Preferred experience with generative AI guardrails, responsible AI, adversarial attack mitigation, and red teaming.
- Foundational understanding of Natural Language Processing and Deep Learning.
- Strong problem-solving, collaboration, and communication skills.
- Must be authorized to work in the US without company sponsorship.
Benefits
- Hybrid or remote work arrangement; candidates near an office are expected to work onsite Tuesday through Thursday, while remote candidates may need to visit an office as business needs arise.
- The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
- Additional compensation may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition.
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