Senior Java AI Engineer

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world’s largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world’s largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology

We are looking for:

At SS&C, we are embarking on an exciting journey to reimagine software engineering through Artificial Intelligence, and we’re looking for an experienced AI Engineer to help lead that transformation.

As an AI Engineer, you will design, develop, and implement AI-enabled solutions that accelerate and automate activities across the entire application delivery lifecycle—from requirements analysis and solution design to software development, testing, production support, and operational excellence.

This is a rare greenfield opportunity to help build and shape the future of AI-driven software delivery within our organization. You will work at the forefront of AI-assisted engineering, helping establish new practices, platforms, and automation capabilities that modernize how software is delivered and supported.

What You’ll Do

You will partner closely with business stakeholders, architects, developers, QA teams, and technology leaders to identify opportunities where AI can drive meaningful productivity gains and improve software quality.

Using tools such as Claude Code and other AI-assisted development technologies, you will design and implement practical solutions that reduce manual effort, automate repetitive tasks, accelerate delivery, and enhance engineering outcomes.

You will also help us evolve from traditional Software Development Life Cycle (SDLC) practices toward an Agentic Application Development Lifecycle (ADLC), introducing intelligent automation and AI agents that support planning, development, testing, code reviews, troubleshooting, and operational support.

What We’re Looking For

You are a highly experienced software engineer with 10+ years of hands-on development experience in Java and Python and a passion for leveraging AI to solve real engineering challenges.

You have practical experience using AI-powered development tools such as Claude Code and understand how Agentic AI can be applied to improve productivity, software quality, and operational efficiency. You enjoy building new capabilities, influencing engineering practices, and working collaboratively across teams to drive innovation and measurable business value.

Key Responsibilities

• Design and implement Agentic-enabled workflows that improve developer productivity and software quality.
• Leverage Claude Code and AI-assisted development tools to accelerate project deliverables from requirement analysis till Production activities.
• Apply AI-assisted approaches throughout the application development lifecycle while maintaining engineering quality standards.
• Contribute to the evolution of software delivery processes from traditional SDLC approaches toward Agentic-driven Application Development Lifecycle (ADLC) models.
• Implement AI agents and automation capabilities that support:
  • Planning
  • Development
  • Testing
  • Review
  • Integration
  • Deployment
  • Operational support
• Identify opportunities to reduce manual effort and repetitive engineering tasks through AI-driven automation.
• Support production applications and assist with troubleshooting complex technical issues.
• Use AI-assisted techniques to accelerate root cause analysis and incident resolution.
• Create and maintain technical documentation, operational procedures, and knowledge artifacts.
• Collaborate with operations and support teams to improve application stability and operational efficiency.
• Work closely with Product Owners, Business Analysts, Architects, QA teams, and Developers throughout the delivery lifecycle.
• Contribute to technical design discussions and implementation planning.
• Promote best pract…