AI Solution Architect

Roles & Responsibilities

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.

Tell employers what skills you have

Ai
Security Governance
Kubernetes
AWS
High Level Design
Google Cloud Platform
Artificial Intelligence
Azure Cloud Services
Translate Into Technical Requirements
Interfaces
Microservices Design
Technology Evaluation
Solution Architecture
Standards Compliance
Docker
API
Integration Solution
Platforms
C++
Architecture & Deployment