Platform Engineer focusing on AWS services and infrastructure modernization for a cloud - based POS provider. Responsibilities include design, deployment, and mentoring in engineering best practices.
About the role
- AI Engineer developing AI Operations services for The Hartford's AI Platform team. Collaborating with data science and business teams to enhance decision-making and streamline processes.
Responsibilities
- Develop value-added features tailored to company specific work, above and beyond the core capabilities of the cloud platform and relevant vendor tools
- Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies
- Explore new services and capabilities in AWS, Google Cloud Platform, and Azure to support GenAI and ML services
- Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies
- Develop and promote best practices in AI, ML, and data engineering across teams
- Architect and design end-to-end solutions at a component level
- Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams
- Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance
- Provide technical mentorship and career growth opportunities for team members
- Review work of systems-level engineers to calibrate deliverables against project and business expectations
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or a technical field
- 8+ years building and shipping software and/or platform solutions for enterprises
- Programming experience with Python is preferred
- 3+ years of experience with Terraform
- Proven experience with Google Cloud Platform (GCP)
- Experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker is a must
- Proven experience in working with other cloud providers such as AWS cloud is a plus
- Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools
- Experience with building scalable serverless applications (real-time/batch) using cloud technologies
- Knowledge of distributed NoSQL database systems and data engineering, ETL technology
- Conversational UX/UI design (chatbots) and Human-Agent-Interaction (HAI) is a plus
- Experience with IR, vector embedding, and Hybrid/Semantic search technologies
- Foundational understanding of Natural Language Processing and Deep Learning
- Excellent problem-solving skills and the ability to work in a collaborative team environment
- Excellent communication skills
- Candidate must be authorized to work in the US without company sponsorship.
Benefits
- Other rewards may include short-term or annual bonuses
- long-term incentives
- on-the-spot recognition
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