Platform Architect
4 weeks ago
We're seeking a skilled Platform Engineer to join our dedicated Generative AI platform engineering team. As a key member of this team, you'll play a crucial role in building our internal GENAI workbench and foundational Generative AI Apps and tools.
This role requires versatility and expertise across a wide range of skills, including designing and building data-intensive solutions using distributed computing, knowledge of AWS cloud, and experience with Terraform/AWS Cloud Formation.
Responsibilities include building ETL pipelines for grounding the GenAI model with domain data, working with the DevSecOps team to build the CICD/IAC pipeline, and designing a Generative AI foundational Infrastructure that conforms to our strict security standards/guardrails.
As a Platform Engineer, you'll work closely with the data science team to improve the accuracy of the LLM models and collaborate with the team to achieve our goals.
This role offers a hybrid or remote work arrangement, with the expectation of working in an office 3 days a week for those living near one of our office locations.
Qualifications include a Bachelor's degree in Computer Science, Computer Engineering, or a technical field, at least 1-2 years of experience designing and building data-intensive solutions, and knowledge of AWS cloud and Terraform/AWS Cloud Formation.
Additional qualifications include experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools, and knowledge of data engineering, ETL technology, and NoSql.
Excellent problem-solving skills, the ability to work in a collaborative team environment, and excellent communication skills are also essential for this role.
The listed annualized base pay range is $97,600 - $146,400, and the role offers a total compensation package that includes short-term or annual bonuses, long-term incentives, and on-the-spot recognition.
The Hartford is an Equal Opportunity Employer and welcomes applications from diverse candidates.
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