Associate Software Engineer - Tech Catalyst Program; Columbus
Listed on 2026-07-21
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Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software
Tech Catalyst Program – Associate Software Engineer
Launch your career building the future of technology—powered by cloud, AI, and modern engineering practices!
The Hartford's Tech, Data, Analytics & Cyber organization is hiring early career engineers who are excited to solve real business problems and contribute to meaningful, enterprise-scale solutions.
The Tech Catalyst Program is a structured, immersive experience designed to accelerate your development as a modern software engineer. You will gain hands-on experience delivering technology solutions while building foundational and emerging skills across full-stack engineering, cloud platforms, and AI-enabled systems.
This program reflects our commitment to building a future-ready workforce—equipping early career talent with the capabilities needed to thrive in a rapidly evolving technology landscape.
This is a hybrid role based in Columbus, OH.
What You'll DoContribute to modern engineering teams
- Design, develop, test, and deploy scalable applications using technologies such as Java, .NET, React, and Angular
- Participate in the full software development lifecycle (SDLC), from ideation through production support
- Apply engineering best practices, including clean code, test automation, and CI/CD
- Collaborate with cross-functional teams including product, design, and data partners
Build cloud and platform capabilities
- Develop and deploy applications using cloud-native architectures (AWS, with GCP for AI capabilities)
- Work with APIs, microservices, and containerized solutions
- Support cloud modernization and platform engineering initiatives
Apply AI and data-driven engineering
- Leverage foundational AI/ML concepts within software solutions
- Utilize AI-assisted development tools (including Google Vertex) to enhance productivity
- Support integration of AI and automation into business workflows and applications
- Develop awareness of responsible AI and ethical engineering practices
Deliver business impact while growing your capabilities
- Translate business problems into technical solutions
- Communicate technical concepts to both technical and non-technical audiences
- Contribute to inclusive, collaborative team environments
- Demonstrate adaptability and continuous learning in a fast-changing technology landscape
Structured learning and real-world application
- 10-week immersive onboarding and technical training experience
- Continued capability-building focused on modern engineering, cloud, and AI
Hands-on delivery and exposure
- Placement on Agile engineering teams delivering real business outcomes
Support and career growth
- Mentorship, coaching, and peer learning designed to accelerate development
- Opportunities to build a strong internal network and long-term career path
- Continued formal technical and professional development enablement through your first nine months
- Passionate about building technology that delivers business and customer value
- Curious and motivated to learn emerging technologies including AI, cloud, and automation
- Comfortable working in environments with ambiguity and change
- Strong problem solver with analytical thinking skills
- Effective communicator and collaborative team member
- Bachelor's degree (expected graduation: May 2027) in:
Computer Science, Engineering, Information Technology, or a related field - Minimum GPA of 3.0 at time of graduation
- Authorization to work in the U.S. without sponsorship now or in the future
- Foundational programming experience in Java, Python, JavaScript, or similar languages
- Exposure to web development (HTML, CSS, JavaScript frameworks)
- Understanding of software development principles and Agile methodologies
- Familiarity or experience with AI concepts
- Experience with cloud platforms (AWS preferred; GCP or Azure helpful)
- Exposure to APIs, microservices, or distributed systems
- AI/ML coursework, certifications, or applied projects
- Familiarity with Git and CI/CD pipelines
- Designed to launch and accelerate early career engineering talent
- Aligned to The Hartford's long-term technology and workforce strategy
- Focus on building in-demand skills across AI, cloud, and modern engineering
- Strong emphasis on mentorship, inclusion, and career development
- Opportunity to contribute to real solutions that drive business outcomes
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:
$70,000 - $105,000
Equal Opportunity…
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