AI Implementation Consultant

Santriya Technologies; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Santriya Technologies Ltd is seeking an experienced AI Implementation Consultant to lead end-to-end deployment of AI solutions across enterprise and mid-market clients. The role involves requirement gathering, solution design, vendor evaluation, model integration, change management, and post-go-live optimisation.

The position requires coordinating with data and ML engineers, leading stakeholder workshops, and ensuring project milestones are met while staying current with AI frameworks and

Responsibilities

• Assess client business processes and identify AI automation opportunities
• Design and deliver AI implementation roadmaps aligned to client objectives
• Configure and deploy AI platforms (e.g., Microsoft Azure AI, AWS SageMaker, Google Vertex AI, OpenAI APIs)
• Integrate AI solutions with existing ERP, CRM, and data platforms
• Lead stakeholder workshops and present solution architecture to executive audiences
• Manage project timelines, risks, and delivery milestones
• Provide hands-on technical support during UAT and hypercare phases
• Create implementation playbooks, runbooks, and client-facing documentation
• Collaborate with data engineers and ML engineers on model deployment pipelines
• Monitor AI system performance and recommend continuous improvements
• Stay current with emerging AI frameworks, tools, and industry best practices

Job description

Job Summary

Santriya Technologies is seeking an experienced AI Implementation Consultant to lead end-to-end deployment of AI solutions across enterprise and mid-market clients. The role involves requirement gathering, solution design, vendor evaluation, model integration, change management, and post-go-live optimisation.

Responsibilities

• Assess client business processes and identify AI automation opportunities
• Design and deliver AI implementation roadmaps aligned to client objectives
• Configure and deploy AI platforms (e.g., Microsoft Azure AI, AWS SageMaker, Google Vertex AI, OpenAI APIs)
• Integrate AI solutions with existing ERP, CRM, and data platforms
• Lead stakeholder workshops and present solution architecture to executive audiences
• Manage project timelines, risks, and delivery milestones
• Provide hands-on technical support during UAT and hypercare phases
• Create implementation playbooks, runbooks, and client-facing documentation
• Collaborate with data engineers and ML engineers on model deployment pipelines
• Monitor AI system performance and recommend continuous improvements
• Stay current with emerging AI frameworks, tools, and industry best practices