Infrastructure AI Engineer; GCP – Remote
Position: Infrastructure AI Engineer (GCP) - Remote Senior Staff Software Engineer - IE07HE 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. as we help shape the future. The Hartford seeks energetic and passionate AI Platform Engineers to build AI Operations (AIOps, MLOps, FMOps, LLMOps) services for our AI Platform team. Our team supports data science and business teams across the enterprise, driving streamlined processes and smarter decision-making in functions like Actuarial, Product, Underwriting, and Sales. As an AI Platform Engineer within the AI Operations organization, you will play a significant role in delivering modern and sustainable data science products generating meaningful outcomes for the enterprise. We are looking for talent who embraces our core values:
- Solution-Oriented: We build solutions, not just models, focusing on end-to-end business problems and systems design.
- Trust and Transparency:We collaborate closely with partners, mindful of their capacity to absorb change.
- Reliability:
Our products come with full monitoring solutions to ensure they deliver as expected.
- Influence through Humility: We listen carefully to our customers and become partners in problem-solving.
- Practical and Evolutionary: We deliver minimally viable products first and expand their sophistication over time based on feedback. This role can have a Hybrid or
Remote work schedule. Candidates who live near one of our office locations 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.
Responsibilities
- Provide technical mentorship and career growth opportunities for team members.
- Drive the development and implementation of Gen AI and AI solutions on the AI platform.
- Develop the design and lead the development and scaling of large platforms, focusing on reliability, scalability, and security.
- Architect and design end-to-end solutions at a component level.
- Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies.
- Collaborate with cross-functional teams to efficiently implement AI platform components.
- Develop core AI platform capabilities.
- Leverage strong engineering expertise in platform functionality, AI, ML, and modern data technologies.
- Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance.
- Explore new services and capabilities in AWS, Google Cloud Platform, and Azure to support GenAI and ML services.
- Develop and promote best practices in AI, ML, and data engineering across teams.
- Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.
- Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.
- Execute the vision and roadmap for AI solutions on the platform.
- Review work of systems-level engineers to calibrate deliverables against project and business expectations.
Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
- 5+ years of Proven experience with Google Cloud Platform (Vertex AI, Gemini, Cloud Run).
- 2+ years of experience with Terraform.
- 3+ years of experience with Docker & Kubernetes (K8s).
- Proven experience in working with other cloud providers such as AWS cloud is a plus.
- 8+ years of experience with Python
- At least 4 years of experience designing and building data-intensive solutions using distributed system design and event-driven architecture.
- 5+ years building and shipping software and/or platform infrastructure solutions for enterprises.
- 2+ years of experience building GEN AI applications
- 3+ years of Experience with developing CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.
- Experience with building scalable serverless applications (real-time/batch) on GCP stack (Cloud… Apply tot his job
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