What are the responsibilities and job description for the Sr Software Architect - Java, AI/ML Integration - Contract-to-Hire position at Softworld, a Kelly Company?
Solutions Architect AI and ML Integration
Contract - possibly to - Hire
We are partnering with an innovative organization seeking a senior Solutions Architect to lead the design of intelligent, scalable enterprise systems that combine modern microservices architecture with advanced AI and machine learning capabilities. This role offers the opportunity to shape next-generation platforms and drive real impact through applied AI.
Key Responsibilities
• Lead architecture and design of high performance distributed systems built on Java microservices
• Drive integration of AI and ML models into enterprise applications with a focus on scalability and reliability
• Partner with data science and engineering teams to operationalize models into production environments
• Provide technical leadership across architecture, development standards, and best practices
• Optimize system performance, latency, and throughput across complex environments
• Guide teams on API design, microservices patterns, and AI driven solution development
• Ensure high code quality, security, and maintainability across platforms
• Troubleshoot complex system issues across application and AI integration layers
• Contribute to architecture strategy and innovation in AI enabled systems
Required Experience
• 15 plus years in software engineering with strong architecture experience
• Deep expertise in Java and microservices based systems
• Proven experience integrating AI and ML models into production applications
• Strong understanding of distributed systems, APIs, and event driven architecture
• Experience working with cloud platforms and containerized environments
• Hands on experience collaborating with data science teams on model deployment
• Strong problem solving and leadership capabilities
Preferred Background
• Experience with frameworks such as TensorFlow, PyTorch, or similar
• Knowledge of MLOps practices including model deployment and monitoring
• Experience with streaming or real time data processing
• Financial Services industry experience with enterprise scale environments with high reliability requirements
What Makes This Opportunity Unique
• Direct influence on AI driven enterprise transformation
• Opportunity to architect systems at scale with real business impact
• Exposure to cutting edge AI integration challenges
• Strong growth trajectory into enterprise architecture leadership
Salary : $85 - $90