Sr Applied AI​/ML Engineer

Sr Data Engineer - GE07BE
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 on a mission to create trustworthy, reliable, and transparent AIML systems, changing insurance and underwriting for good.  We are driven by a strong determination to create a meaningful impact and take pride in being an insurance company that extends far beyond the realms of policies and coverages. When you choose to be a part of our team, you open the door to endless opportunities for personal and professional growth, as well as the chance to empower others in reaching their aspirations.

You will help bring the transformative power of Generative AI capabilities, combine it with traditional ML to re-imagine the ‘art of possible’ and serve our internal customers and transform the business.
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* Skills:

*** Strong technical knowledge (AI solution leveraging Cloud and modern solutions).
* Able to communicate effectively with both technical and non-technical teams and influence leadership.
* Collaboration across teams, decision making, conflict resolution and relationship building skills.
* Experience in mentoring and developing Junior AI or ML Engineers.
* Knowledge of latest AI and AI Agent architectural patterns.
* Strong planning, organization, and execution skills.
* Ability to understand and align deliverables to the departmental and organization strategies and objectives.
* Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working.
* Innovative, curious, and focused on continuous learning, able to turn new ideas into practical solutions.
* Result oriented, demonstrating ownership, accountability, and urgency in delivering business outcomes.
** Education, Experience, Certification & Licenses:
*** A bachelor’s or master’s degree in computer science, Software Engineering, Data Science, or a closely related discipline.
* 8+ years of experience in Machine Learning, Software Engineering or related field, with at least 5+ years focused on AI or ML
* 2+ years of experience in GenAI/Agentic AI, RAG, semantic search, embedding models, representation & generative models (BERT, GPT).
* Strong programming skills in Python and experience with FastAPI, Asynio, & Pydantic.
* Experience with single and multi-agent frameworks such as ADK, Lang Chain, Lang Graph, and/or CrewAI.
* Strong hands-on experience in GenAI AI tools and platforms, including AWS Sagemaker/Bedrock, Google Vertex AI, Vertex AI Search and Vertex AI RAG Engine.
* Proven experience designing and delivering production-grade APIs, microservices & SDKs.
* Experience with software engineering best practices (Ex. SOLID, 12 FACTOR App, Arch Sagas, Design patterns)
* Experience in designing, building, and deploying data, ML, & RAG pipelines (FTI).
* Demonstrated proficiency with agile development methodologies, including SAFe.
* Experience with NodeJS , JavaScript, Typescript, React is a plus.
* Experience with IAM, MSFT Entra, Okta, oAuth
2.1, SAML, OIDC is a plus.
* Understanding data structures, big data technologies (i.e. Hadoop, Spark, Hive, etc.), No

SQL and RDBMS is a plus.
** Candidate 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.
** This role can have a Hybrid or Remote work arrangement.  Candidates who live near one of our office locations (Hartford, CT, Charlotte, NC, Columbus, OH, Frisco, TX, Chicago, IL) will have the expectation of working in an office 3 days a week (Tuesday through Thursday)  Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise
** 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…