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Hartford Funds · 5 months ago

AI Platform Engineer (Google Cloud Platform)

Hartford, CT

Full-time

Hybrid

Senior Level, Lead/Staff

$126K/yr - $189K/yr

8+ years exp

The Hartford is an insurance company that seeks to make a difference by building innovative solutions. They are looking for AI Platform Engineers to develop AI Operations services, supporting data science and business teams to enhance decision-making across various functions.

Asset ManagementBankingCrowdfundingFinancial ServicesVenture Capital

No H1B

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

Qualification

Google Cloud PlatformPythonTerraformCI/CD pipelinesAutomated TestingData engineeringProblem-solvingCommunication

Required

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

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

Preferred

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