The Hartford
Director Applied AI Engineering role at The Hartford
Overview We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford seeks an energetic and passionate Director and Lead Applied AI Engineer to lead the AI Operations (AIOps, MLOps, FMOps, LLMOps) practice for the AI Platform team that serves data science and business teams across the enterprise.
Our team has built industry‑leading capabilities, driving streamlined processes and smarter decision making. We support functions including Actuarial, Product, Underwriting, and Sales. As a Director and Lead Machine Learning Engineer within the AIOps organization, you will play a significant role ensuring reliable, reproducible software applications and standardization of the AIOps pipeline on the cloud.
Hybrid work schedule: you’ll be expected to work in an office (Columbus, OH; Chicago, IL; Hartford, CT; Charlotte, NC) 3 days a week (Tuesday–Thursday).
Core Values
We build solutions, not models. We support the end‑to‑end business problem with a systems‑design focus.
We are trusted and transparent. We collaborate tightly with partners and respect their capacity to absorb change.
We provide assets that are safe to buy. Our products include full monitoring to ensure continued performance.
We earn the right to influence. We listen carefully to learn from customers and become partners in problem solving.
We are practical and evolutionary. We first deliver a minimally viable product and then expand it based on feedback.
Responsibilities
Hands‑on role, actively working with teams and leveraging technical expertise.
Support the development of core AI platform capabilities.
Build and manage a world‑class high‑performance platform engineering team, fostering innovation, collaboration, and technical excellence.
Apply advanced engineering expertise in AI, ML, and modern data technologies to enhance platform functionality.
Lead the design, development, and scaling of large platforms with a focus on reliability, scalability, and security.
Drive the development and implementation of Gen AI and AI solutions on the platform using its capabilities.
Provide mentorship and career growth opportunities for technical teams as an inspirational people leader.
Demonstrate strong behavioral traits of enterprise‑level leadership, effectively influencing stakeholders, and driving execution.
Define and execute the vision and roadmap for AI solutions on the platform that align with strategic goals and customer needs.
Candidate must be authorized to work in the U.S. without company sponsorship. The company will not support the STEM OPT I‑983 Training Plan endorsement for this position.
Qualifications
4+ years leading AI, ML, or applied engineering teams with a strong track record of building AI‑driven solutions.
Hands‑on experience with cloud platforms: Google Cloud, AWS, Azure.
Strong understanding of GenAI, machine learning, and related technologies, along with business acumen.
Ability to collaborate and partner with business leaders and IT/Data Science teams.
Strong problem‑solving skills and ability to guide and mentor engineering teams.
Strong leadership and influencing skills at the senior management level.
Experience leading and managing teams focused on AI‑driven use‑case development.
Bachelor’s or Master’s degree in Computer Science or related field.
Strong written and verbal communication skills.
Demonstrate willingness to challenge the status quo and drive continuous improvements.
Preferred Skills
Development experience for WebService API with AWS, GCP, Azure and AI/GenAI tools.
Proficiency in embeddings, ANN/KNN, vector stores, quantization, database optimization, and performance tuning.
Strong understanding of RAG pipeline customization: model fine‑tuning, retrieval re‑ranking, hybrid search, and multimodal RAG.
Experience building applications using RAG, summarization patterns, prompt management, and agentic frameworks.
Experience with agentic systems using LangGraph, CrewAI.
Basic knowledge of ML frameworks: TensorFlow, Scikit‑Learn, SageMaker, Vertex AI.
Experience with Docker, Kubernetes, EC2 environments.
Experience enabling services like Amazon Q, Microsoft Copilot, or similar enterprise tools.
Familiarity with Python Flask or Spring Boot.
Compensation The annualized base pay range is $145,440 – $218,160. Base pay is one component of the total compensation package, which may include short‑term or annual bonuses, long‑term incentives, and on‑the‑spot recognition.
Equal Opportunity Employer – Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age.
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Overview We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford seeks an energetic and passionate Director and Lead Applied AI Engineer to lead the AI Operations (AIOps, MLOps, FMOps, LLMOps) practice for the AI Platform team that serves data science and business teams across the enterprise.
Our team has built industry‑leading capabilities, driving streamlined processes and smarter decision making. We support functions including Actuarial, Product, Underwriting, and Sales. As a Director and Lead Machine Learning Engineer within the AIOps organization, you will play a significant role ensuring reliable, reproducible software applications and standardization of the AIOps pipeline on the cloud.
Hybrid work schedule: you’ll be expected to work in an office (Columbus, OH; Chicago, IL; Hartford, CT; Charlotte, NC) 3 days a week (Tuesday–Thursday).
Core Values
We build solutions, not models. We support the end‑to‑end business problem with a systems‑design focus.
We are trusted and transparent. We collaborate tightly with partners and respect their capacity to absorb change.
We provide assets that are safe to buy. Our products include full monitoring to ensure continued performance.
We earn the right to influence. We listen carefully to learn from customers and become partners in problem solving.
We are practical and evolutionary. We first deliver a minimally viable product and then expand it based on feedback.
Responsibilities
Hands‑on role, actively working with teams and leveraging technical expertise.
Support the development of core AI platform capabilities.
Build and manage a world‑class high‑performance platform engineering team, fostering innovation, collaboration, and technical excellence.
Apply advanced engineering expertise in AI, ML, and modern data technologies to enhance platform functionality.
Lead the design, development, and scaling of large platforms with a focus on reliability, scalability, and security.
Drive the development and implementation of Gen AI and AI solutions on the platform using its capabilities.
Provide mentorship and career growth opportunities for technical teams as an inspirational people leader.
Demonstrate strong behavioral traits of enterprise‑level leadership, effectively influencing stakeholders, and driving execution.
Define and execute the vision and roadmap for AI solutions on the platform that align with strategic goals and customer needs.
Candidate must be authorized to work in the U.S. without company sponsorship. The company will not support the STEM OPT I‑983 Training Plan endorsement for this position.
Qualifications
4+ years leading AI, ML, or applied engineering teams with a strong track record of building AI‑driven solutions.
Hands‑on experience with cloud platforms: Google Cloud, AWS, Azure.
Strong understanding of GenAI, machine learning, and related technologies, along with business acumen.
Ability to collaborate and partner with business leaders and IT/Data Science teams.
Strong problem‑solving skills and ability to guide and mentor engineering teams.
Strong leadership and influencing skills at the senior management level.
Experience leading and managing teams focused on AI‑driven use‑case development.
Bachelor’s or Master’s degree in Computer Science or related field.
Strong written and verbal communication skills.
Demonstrate willingness to challenge the status quo and drive continuous improvements.
Preferred Skills
Development experience for WebService API with AWS, GCP, Azure and AI/GenAI tools.
Proficiency in embeddings, ANN/KNN, vector stores, quantization, database optimization, and performance tuning.
Strong understanding of RAG pipeline customization: model fine‑tuning, retrieval re‑ranking, hybrid search, and multimodal RAG.
Experience building applications using RAG, summarization patterns, prompt management, and agentic frameworks.
Experience with agentic systems using LangGraph, CrewAI.
Basic knowledge of ML frameworks: TensorFlow, Scikit‑Learn, SageMaker, Vertex AI.
Experience with Docker, Kubernetes, EC2 environments.
Experience enabling services like Amazon Q, Microsoft Copilot, or similar enterprise tools.
Familiarity with Python Flask or Spring Boot.
Compensation The annualized base pay range is $145,440 – $218,160. Base pay is one component of the total compensation package, which may include short‑term or annual bonuses, long‑term incentives, and on‑the‑spot recognition.
Equal Opportunity Employer – Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age.
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