[Remote] AI Platform Engineer (Google Cloud Platform)
Note: The job is a remote job and is open to candidates in USA. The Hartford is a leading insurance company committed to making a difference. They are seeking an AI Platform Engineer to build AI Operations services for their AI Platform team, supporting data science and business teams to drive streamlined processes and smarter decision-making across the enterprise.
Responsibilities
- 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
Skills
- Bachelor's degree in Computer Science, Computer Engineering, or a technical field
- 8+ years building and shipping software and/or platform solutions for enterprises
- 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
- 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. GCP is a plus
- Knowledge of distributed NoSQL database systems and data engineering, ETL technology
- 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. The company will not support the STEM OPT I-983 Training Plan endorsement for this position
- Programming experience with Python is preferred
- Experience building libraries, frameworks or platforms used across multiple teams is a plus
- Proven experience in working with other cloud providers such as AWS cloud is a plus
- Experience with 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
Company Overview