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20 часов назад

Senior Data & AI Engineer (AI)

139 400 - 230 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data & AI Engineer (AWS/Databricks): Building scalable, cloud-native data pipelines and production-grade multi-agent AI applications with an accent on AWS, Databricks, Snowflake, dbt, RAG, and vector databases. Focus on integrating structured and unstructured data through MCP and tool-calling patterns, enabling data-grounded AI applications, and ensuring production readiness and system reliability.

Location: Hartford, Connecticut, United States

Annual base salary: $139,400–$230,000, plus eligibility for performance-based cash incentive awards.

Company

hirify.global is a property and casualty insurer with more than 170 years of industry experience, focused on customer service, innovation, and collaboration.

What you will do

  • Build, operationalize, and optimize complex data solutions, including transformations, data cleansing, and quality improvements.
  • Design scalable data architectures that incorporate new sources and align with enterprise data strategies.
  • Analyze complex data sources and determine their value for analytical processes.
  • Apply data governance, security, and quality practices across data products and pipelines.
  • Serve as a data and technology subject matter expert, partnering with business teams and educating users on data and analytics environments.
  • Analyze and resolve complex data and system defects and incidents while supporting delivery and production readiness.

Requirements

  • Bachelor’s degree in computer science, a related STEM field, or equivalent education and experience.
  • At least six additional years of data engineering experience; the broader profile requests ten years of related experience.
  • Expertise building scalable, self-healing, cloud-native distributed data pipelines with AWS native services and/or Databricks, loading enterprise platforms such as Snowflake.
  • Hands-on experience with dbt and framework-based cloud-native pipeline architectures.
  • Experience designing production-grade multi-agent AI applications with AWS AgentCore, Databricks AgentBricks, or similar orchestration frameworks.
  • Knowledge of LLM APIs, RAG, vector databases, embeddings, MCP, tool-calling patterns, automated testing, and modern software engineering practices.

Culture & Benefits

  • Health insurance for employees and eligible family members from the first day of employment.
  • Dollar-for-dollar 401(k) matching up to the first 5% of eligible pay, plus a hirify.global-funded pension plan.
  • At least 20 paid time-off days annually and nine paid company holidays.
  • Wellness resources, mental health counseling, health coaching, and caregiving support.
  • Volunteer and charitable giving programs, including matching gifts and volunteer rewards.

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