AI Solution Architect

Santriya Technologies; United States; Remote; USD 130,000 - 180,000; Full time

Job summary

Santriya Technologies is recruiting an AI Solution Architect to design scalable, robust AI and data platforms for clients across banking, fintech, and technology sectors. The candidate will translate business requirements into comprehensive AI architecture blueprints covering data ingestion, model training, inference pipelines, and integration layers.

The role involves leading technical pre-sales engagements, defining governance and security frameworks, and mentoring junior architects to ensure

Responsibilities

• Design end-to-end AI and ML system architectures including data pipelines, feature stores, model registries, and serving layers
• Evaluate and select appropriate AI/ML frameworks, cloud platforms (AWS, Azure, GCP), and MLOps tooling
• Develop reference architectures and proof-of-concept solutions
• Lead technical pre-sales engagements and support client discovery workshops
• Define AI governance, security, and compliance frameworks within solution designs
• Oversee integration of AI models into microservices, APIs, and enterprise applications
• Collaborate with data scientists, engineers, and product teams to ensure feasibility and scalability
• Create architecture documentation, technology blueprints, and decision records
• Advise clients on AI readiness, cloud migration, and platform modernisation strategies
• Mentor junior architects and developers on AI design patterns and best practices.

Job description

Job Summary

Santriya Technologies is recruiting an AI Solution Architect to design scalable, robust AI and data platforms for clients across banking, fintech, and technology sectors. The candidate will translate business requirements into comprehensive AI architecture blueprints covering data ingestion, model training, inference pipelines, and integration layers.

Responsibilities

• Design end-to-end AI and ML system architectures including data pipelines, feature stores, model registries, and serving layers
• Evaluate and select appropriate AI/ML frameworks, cloud platforms (AWS, Azure, GCP), and MLOps tooling
• Develop reference architectures and proof-of-concept solutions
• Lead technical pre-sales engagements and support client discovery workshops
• Define AI governance, security, and compliance frameworks within solution designs
• Oversee integration of AI models into microservices, APIs, and enterprise applications
• Collaborate with data scientists, engineers, and product teams to ensure feasibility and scalability
• Create architecture documentation, technology blueprints, and decision records
• Advise clients on AI readiness, cloud migration, and platform modernisation strategies
• Mentor junior architects and developers on AI design patterns and best practices.