Senior AI Solutions Architect: End-to-End, Secure AI Delivery

KData Inc.; United States; Remote; USD 180,000 - 250,000; Full time

Job summary

KData Inc. seeks an experienced AI Architecture Lead to own end-to-end AI delivery, from discovery to production monitoring and retirement.

You will partner across business, product, data science, engineering, operations, security and privacy to deliver measurable value through architectural decisions and hands-on validation. Responsibilities include translating business needs into AI use cases, designing data and knowledge pipelines, and evaluating build vs buy options.

Qualifications

• Typically 10+ years of relevant technology experience with architecture responsibility.
• End-to-end architecture spanning models, data, retrieval, apps, cloud, security and ops.
• Strong knowledge of foundation models, RAG, embeddings, vector search, tool use.
• Experience with cloud AI services, API/event integration, identity, networking, containers.
• Working knowledge of responsible AI, data governance, model risk and human oversight.
• Strong communication, facilitation and stakeholder-management skills.

Responsibilities

• Lead end-to-end architecture and delivery assurance of AI solutions.
• Translate business needs into AI use cases and acceptance criteria.
• Design models, data pipelines, embeddings, retrieval, orchestration and APIs.
• Evaluate build vs buy vs hosted options for safety, latency and cost.
• Validate designs with prototypes, tests and release thresholds.
• Guide MLOps/LLMOps, versioning, deployment and observability.
• Coordinate with cross-functional teams and align with enterprise standards.

Skills

AI architecture

MLOps

RAG & vector search

Prompt orchestration

Cloud AI services

Security & privacy

Stakeholder management

Model governance

Education

BS in CS/Engineering or related field

Tools

Azure AI / ML / OpenAI

APIs & microservices

Kubernetes / containers

Model hosting & deployment

Job description

KData Inc. seeks an experienced AI Architecture Lead to own end-to-end AI delivery, from discovery to production monitoring and retirement.

You will partner across business, product, data science, engineering, operations, security and privacy to deliver measurable value through architectural decisions and hands-on validation. Responsibilities include translating business needs into AI use cases, designing data and knowledge pipelines, and evaluating build vs buy options.