AI Solution Architect

Role Name: AI Solution Architect Qualifications • 5 to 8 Years of experience • Translate business requirements into technical architecture and design specifications • Define and document the solution architecture, including high-level components, interfaces, and data flows • Design and implement advanced frameworks using Lang Chain and related technologies. • Develop document ingestion, chunking, embedding, indexing, and retrieval pipelines. Implement hybrid search architectures • Familiar with Python software implementation and skilled in leveraging Lang graph workflow • Good exposure on Responsible AI principles and how that is put into practice on live AI systems • Evaluate technology options and recommend optimal tools, platforms and approaches • Ensure alignment with enterprise standards, security and governance policies • Collaborate with engineering, DevOps, and infrastructure teams to ensure successful implementation • Provide guidance and oversight during development, integration, and deployment phases • Engage with stakeholders to validate architecture decisions and manage trade-offs • Support troubleshooting of technical issues and provide solution-level guidance during project execution. Job Description Responsible for designing and overseeing the implementation of end-to-end technology solutions that align with business objectives and technical constraints. Acting as a key technical leader, the Solution Architect bridges business needs and technical execution, ensuring that solutions are scalable secure, cost-effective, and fit-for-purpose across the enterprise or project landscape. General Experience and Technical skills: • Strong architecture design skills across application, data, integration, and infrastructure domains • Proficiency in cloud platforms (e.g., AWS/Azure/GCP) , including cloud-native services • Hands-on experience with APIs, microservices and integration patterns • Knowledge of cybersecurity best practices and compliance requirements • Experience with DevOps, CI/CD pipelines, containerization (e.g., Docker, Kubernetes) • Ability to use modelling and documentation tools (e.g., ArchiMate, Lucidchart, Draw.io, UML) • Strong Ability of both monolithic and distributed system architecture.