We are looking for a Solution Architect (AWS | Application & AI/ML/Generative AI) to design and deliver enterprise-scale solutions for a strategic client. The ideal candidate will be a blend of an Application Architect and an AI/ML/Generative AI Architect, with the ability to design robust cloud-native applications while driving innovation through Agentic AI and emerging AI technologies.

Key Responsibilities :

- Translate client business problems into end-to-end solution architectures.

- Design cloud-native applications and AI-driven solutions using AWS services.

- Create solution diagrams, architecture blueprints, and detailed design documents (HLD & LLD).

- Architect and guide the delivery of Generative AI and Agentic AI solutions (AWS Bedrock, SageMaker, LLMOps).

- Define data pipelines and integration patterns using AWS-native services.

- Ensure solutions follow AWS Well-Architected best practices for scalability, performance, and security.

- Act as a technical leader for engineering teams, ensuring design-to-delivery alignment.

- Stay ahead of emerging AI/ML technologies and bring innovative approaches to client engagements.

- Collaborate with business and IT stakeholders to align technology with business goals.

Skills & Experience :

- Strong experience in application architecture (cloud-native, microservices, APIs, integration patterns).

- Hands-on expertise with AWS services for applications, data, and AI/ML.

- Strong knowledge of Generative AI, Agentic AI, and LLMOps.

- Proven ability to create end-to-end solution designs (HLD/LLD) and lead technical delivery.

- Experience in enterprise data platforms (data lakes, ETL, analytics) on AWS.

- Excellent consulting, communication, and client-facing skills.

Preferred Certifications :

- AWS Solution Architect Professional (or Associate as minimum).

- AWS Machine Learning Specialty.