Sr AI Machine Learning Engineer
At a glance
Senior Machine Learning Engineering role at The Hartford. Remote, United States · full-time · $117,200–$175,800 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Research and test generative AI and machine learning approaches, then put suitable ones into practice
- Design, build and maintain deployment systems for traditional machine learning and AI models
- Deliver model-deployment milestones in AWS or GCP and promote MLOps practices among data scientists
- Work with business, data, cloud and architecture partners to assess new data and technology opportunities
- Guide junior engineers, review work with partners and present new ideas to technical audiences
What you bring
- A related master’s degree or at least five years of comparable research or DevOps experience
- Hands-on cloud development in AWS or GCP, including API services, reusable architecture and CI/CD pipelines
- Python object-oriented development, Unix, Git, infrastructure-as-code tools and workflow automation experience
- Experience spanning model development through production monitoring, plus familiarity with generative AI and LLM workflows
- You are authorized to work in the United States without employer sponsorship
Who this fits
This senior engineering role suits someone who can carry AI and machine learning systems from design into production and support peers. It requires office attendance three days a week, Tuesday through Thursday, in Columbus, Chicago, Hartford or Charlotte. Candidates need U.S. work authorization; the company will not endorse a STEM OPT I-983 Training Plan.
From the employer
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 is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team.
The Hartford is developing industry‑leading AI and machine learning capabilities to improve the various facets of the Global Specialty underwriting experience. On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to accelerate the processes that our partners touch day to day and advance the speed and intelligence with which we make our decisions. As a Senior Machine Learning AI Engineer, you will play a critical role in designing, building, and operationalizing production‑grade AI solutions—partnering closely with product, engineering, and platform leaders to deliver measurable impact.
Our core values
- We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.
- We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.
- We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.
- We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.
- We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.
Responsibilities
- Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
- Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
- Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
- Accountable for deployment design, development and maintenance of both traditional ML and AI models.
- Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.
- Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams
- Delivery of critical milestones for model deployment in the AWS and GCP clouds.
- Adopt and promote MLOps best practices to the Data Science community.
Minimum Requirements
- Must be authorized to work in the U.S. now and in the future.
- Master’s degree in related field or 5+ years of equivalent experience in a research or DevOps function.
- Development experience developing solutions within AWS, GCP or both.
- Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
- Experience building and deploying API services within the Cloud.
- Experience building CICD pipeline using Jenkins or equivalent
- Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents
- Experience in Unix, git, and strong object oriented development experience using Python
- Experience in end to end model development lifecycle, from ideation through post production monitoring.
- Experience with workflow automation platforms (Apache Airflow, Autosys, similar)
- Basic understanding of Data Science model development life cycle
- Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$117,200 - $175,800Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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