Remote AI Solution Architect: Scalable, Secure AI Delivery

KData Inc.; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

KData Inc. seeks a Senior AI Architect to lead end-to-end architecture and delivery assurance for secure, scalable AI solutions remotely in the United States.

You will partner across business, product, data science, and security to validate designs and drive measurable value through robust architecture decisions. Responsibilities include translating business needs into AI use cases, designing data and model pipelines, and overseeing MLOps, feedback loops and governance.

Qualifications

• Typically 10+ years of technology experience with architecture responsibility.
• End-to-end architecture spanning models, data, cloud, security and ops.
• Strong knowledge of foundation models, RAG, embeddings and prompts.

Responsibilities

• Translate business needs into AI use cases with measurable outcomes.
• Design models, data pipelines, embeddings, prompts and orchestration.
• Define access controls, guardrails and human oversight for AI systems.
• Evaluate build vs buy, hosted vs embedded AI options for risk and cost.
• Guide MLOps/LLMOps, versioning, deployment and monitoring pipelines.
• Monitor quality, drift, safety, usage and costs across lifecycle.

Skills

AI architecture

MLOps/LLMOps

Cloud deployment

Stakeholder management

Data governance

Security & privacy

Requirement analysis

Prototype evaluation

Education

Bachelor's degree in Computer Science, Engineering, Data Science or related field

Tools

Azure AI

Azure Machine Learning

Azure OpenAI

API management

Job description

KData Inc. seeks a Senior AI Architect to lead end-to-end architecture and delivery assurance for secure, scalable AI solutions remotely in the United States.

You will partner across business, product, data science, and security to validate designs and drive measurable value through robust architecture decisions. Responsibilities include translating business needs into AI use cases, designing data and model pipelines, and overseeing MLOps, feedback loops and governance.