Senior Solution Architect/Solution Architect: Java with AI

Solution Architect

Responsibilities

• Design and develop AI-driven solutions and agentic platforms that deliver measurable business value
• Lead application modernization initiatives that incorporate AI technologies to enhance and transform existing systems
• Assess legacy systems and recommend modernization strategies that enable AI integration
• Collaborate with cross-functional teams to understand client requirements and translate them into technical solutions
• Implement and optimize Retrieval-Augmented Generation (RAG) models for enterprise applications
• Conduct research to stay updated on the latest trends and advancements in AI technologies and modernization patterns
• Design migration pathways from monolithic to microservices, cloud-native, or AI-enabled architectures
• Ensure seamless integration of AI solutions with existing systems and platforms
• Communicate effectively with clients and stakeholders to present solutions and gather feedback

Requirements

• Proven experience of 15-20 years as a Solution Architect, particularly in AI technologies and application modernization
• Hands-on experience with Retrieval-Augmented Generation (RAG) models in production environments
• Expertise in application modernization, including legacy system assessment, refactoring strategies, and monolith-to-microservices transformation
• Excellent communication and presentation skills
• Strong research skills to stay abreast of the latest AI trends, modernization patterns, and technologies
• Ability to work collaboratively in a team environment
• Strong problem-solving and analytical skills

Nice to have

• Familiarity with AI and machine learning frameworks and tools such as TensorFlow, PyTorch, and scikit-learn
• Previous experience in developing agentic platforms
• Familiarity with containerization, orchestration, and cloud platforms such as Docker, Kubernetes, and AWS, Azure, GCP
• Background in cloud migration and cloud-native architecture design
• Experience with enterprise integration patterns and middleware technologies
• Experience with hybrid or multi-cloud environments
• Familiarity with FinOps, observability, and cloud governance
• Background in supporting production workloads with high availability and disaster recovery considerations
• Experience with Hybris ecommerce