Location : India
Experience : 8 to 12 years in Cloud, Application & AI solutions
About the Role :
Mandatory to have : AWS Bedrock, Agentic AI, Python, GenAI
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.(ref : hirist.tech)