Organization: The Hartford
Location: Hartford, CT (Hybrid or Remote)
Employment Type: Full-time
Category: Information Technology
Job Reference: R2521543

About the Organization

The Hartford is an innovative insurance company committed to delivering solutions that go beyond traditional coverages and policies. With a strong focus on empowering employees and fostering professional growth, The Hartford cultivates an environment where teams can achieve their goals while driving meaningful impact across the organization.

Also Read: The Hartford Is Expanding Its Remote Insurance Sales Team – Earn Up to $64K

Position Overview

The Hartford is seeking an energetic and skilled AI Platform Engineer to join its AI Operations team. This role is pivotal in building AIOps, MLOps, FMOps, and LLMOps services to support enterprise-wide data science and business teams. The AI Platform Engineer will contribute to modern, sustainable data science products that generate measurable outcomes for functions including Actuarial, Product, Underwriting, and Sales.

Candidates in this role must embody The Hartford’s core values:

Solution-Oriented: Focus on designing end-to-end business solutions rather than isolated models.
Trust and Transparency: Collaborate closely while considering partners’ capacity for change.
Reliability: Deliver products with full monitoring and assurance of consistent performance.
Influence through Humility: Engage thoughtfully with customers and partners in problem-solving.
Practical and Evolutionary: Deploy minimally viable solutions initially and refine them iteratively based on feedback.

This role allows for hybrid or remote work arrangements. Employees near the Hartford office are expected to work onsite Tuesday through Thursday, while remote employees may be required to attend the office as business needs dictate.

Key Impact

Develop value-added features that extend core cloud platform capabilities.
Research, experiment with, and implement Generative AI algorithms, tools, and technologies.
Explore and leverage services in Google Cloud Platform, AWS, and Azure to support ML and GenAI workflows.
Enhance platform functionality using expertise in AI, ML, Agentic Frameworks, and modern data technologies.
Promote best practices in AI, ML, and data engineering across enterprise teams.
Architect and design end-to-end solutions at the component and system levels.
Collaborate with Enterprise Data, Data Science, Business, Cloud Enablement, and Enterprise Architecture teams.
Manage engineering tasks, drive execution, and independently optimize workflows.
Mentor team members, providing technical guidance and supporting career growth.
Review system-level engineering work to ensure deliverables meet project and business expectations.

Desired Candidate Profile

Education Requirements:

Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.

Preferred Qualifications:

8+ years of experience developing software or platform solutions for enterprises.
Proficiency in Python and 3+ years of experience with Terraform.
Extensive experience with Google Cloud Platform, including BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker.
Experience with other cloud providers, such as AWS, is advantageous.
Skilled in CI/CD pipelines, automated testing, deployments, Agile methodologies, and integration/unit testing.
Expertise in scalable serverless applications, distributed NoSQL databases, ETL processes, and data engineering.
Knowledge of conversational UX/UI design, Human-Agent Interaction (HAI), and vector/semantic search technologies is a plus.
Familiarity with LLM orchestration frameworks, embeddings, retrieval augmentation, and GenAI guardrails is desirable.
Foundational understanding of Natural Language Processing and Deep Learning.
Excellent problem-solving, communication, and collaborative skills.
Must be authorized to work in the US without company sponsorship.

Compensation

The annualized base pay range for this role is $116,160 – $189,240, reflecting market analysis and allowing flexibility based on experience, performance, and competencies. The Hartford’s total compensation package may also include short-term or annual bonuses, long-term incentives, and recognition awards.

Application Process

Interested candidates are encouraged to apply through The Hartford careers page here. Ensure that your application highlights relevant experience, technical skills, and alignment with The Hartford’s values and mission.

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Equal Opportunity Employer

The Hartford is an equal opportunity employer. All qualified applicants will receive consideration without regard to sex, race, color, veteran status, disability, sexual orientation, gender identity or expression, religion, or age.