AI Solution Architect

Role 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.

Job Requirements:

• 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 LangChain 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 Langgraph 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.