AI/ML Engineer
Lam Research
At a glance
AI generatedThe Hartford is hiring an Applied AI Engineer at the GE08AE level for its Employee Benefits Applied AI and Analytics (EB AIA) team. This role involves designing, building, and maintaining complex AI components and data pipelines that support enterprise-scale solutions with significant business impact. The engineer will work on batch and real-time data/AI pipelines, ensuring production assets align with established architecture standards while collaborating closely with senior engineers and architects to implement approved solution designs. Key responsibilities include deploying, monitoring, and maintaining AI services in production environments, applying CI/CD practices for quality assurance, and integrating diverse data sources for analytics use cases. The ideal candidate has 3-6 years of experience in software or data engineering, proficiency in Python and SQL, and familiarity with cloud platforms like AWS, Azure, or GCP. This role requires expertise in AI-driven solutions across the policy lifecycle, from sales to renewal, focusing on predictive analytics and generative AI techniques for scalable and transparent enterprise applications.
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What you'll do
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Market check
How this pay compares to similar roles
This role pays less than 97% of similar roles. Most pay $167,500–$246,150 — the shaded band above. At the midpoint, this role pays about $126k versus about $207k for comparable roles.
Based on 240 similar postings.
Employer
The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services
The Hartford currently has 50 open roles on FindRole.
Listed pay typically runs $128,800–$193,200 across 50 roles with salary data.
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