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.