Job Title: AI Solutions Architect Gen AI, MCP & API Integration Location: RemoteJob Type: Contract Job Description: We are looking for an experienced and highly motivated AI Solutions Architect to join our team. This role is ideal for someone with deep expertise in Generative AI technologies, MCP (Modular Component Platform), and Agentic AI solutions, along with a solid understanding of API design, strategy, and integration best practices. You will be responsible for designing, developing, and implementing intelligent AI-driven solutions and driving innovation through advanced architectural approaches. Key Responsibilities: Design and implement scalable Generative AI solutions tailored to business needs. Apply deep knowledge of MCP technology to build modular, reusable components following best practices. Architect and build robust Agentic AI systems, enabling autonomous decision-making and task execution. Collaborate cross-functionally with engineering, product, and operations teams to align AI initiatives with strategic objectives. Lead architecture reviews, design discussions, and solution evaluations. Develop and maintain API strategies and frameworks for seamless internal and external integrations. Ensure compliance with industry standards and best practices in AI and API design. Provide technical mentorship and share knowledge on best practices across the organization. Required Skills: Strong understanding of Generative AI technologies (e.g., transformers, LLMs, prompt engineering, fine-tuning models). Deep expertise in MCP (Modular Component Platform) technologies, methodologies, and best practices. Proven experience in designing and developing Agentic AI systems. Ability to write high-quality technical documentation and architectural diagrams. Nice to Have: Hands-on experience designing and building RESTful and GraphQL APIs. Experience working with Enterprise Integration tools such as Apigee. Familiarity with industry standards and API development best practices (security, versioning, monitoring). Experience in API invocation frameworks, including performance optimization and error handling strategies. Background in cloud-native environments (e.g., GCP, AWS, or Azure). Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in AI solution development and architecture. Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. kindly share the updated resume for venkatesh.kulkarni@centstone.com