GenAI & Agentic AI Architect — Enterprise Platform Leader

KData Inc.; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

KData Inc. is seeking an AI Architect to lead enterprise-grade GenAI and agentic AI solutions in the United States.

You will translate business needs into secure, scalable architectures, establish patterns, and govern AI programs from experiments to production. The role requires designing end-to-end AI pipelines, evaluating foundation models, and delivering reusable architecture components with strong collaboration across product, data, security, and engineering teams.

Qualifications

• Experience designing and deploying production GenAI applications such as conversational assistants and document intelligence.
• Strong understanding of LLM behavior: tokenization, context windows, prompts, tool calling, and failure modes.
• Experience designing inference/serving patterns for latency, throughput, cost, including streaming and batching.
• Ability to evaluate build-versus-buy, hosted-versus-self-hosted, and model/platform trade-offs.

Responsibilities

• Define enterprise AI architecture strategy, reference architectures, and a pragmatic roadmap.
• Design end-to-end AI solutions spanning data ingestion, model access, retrieval, orchestration, APIs, and deployment.
• Architect production GenAI, RAG, and agentic workflows with quality, latency, availability, and cost controls.
• Assess foundation models and deployment patterns; document trade-offs and decisions.
• Establish reusable components and platform capabilities to accelerate delivery across teams.
• Lead technical discovery, prototypes, and production readiness reviews; mentor teams.

Skills

GenAI architectures

LLM prompts & tool calls

Performance optimization

Cloud deployment

Python programming

Education

Bachelor's degree in CS/Engineering

Tools

AWS

Azure

GCP

Docker

Kubernetes

LangChain

Vector stores (Pinecone/Weaviate/Elasticsearch)

Job description

KData Inc. is seeking an AI Architect to lead enterprise-grade GenAI and agentic AI solutions in the United States.

You will translate business needs into secure, scalable architectures, establish patterns, and govern AI programs from experiments to production. The role requires designing end-to-end AI pipelines, evaluating foundation models, and delivering reusable architecture components with strong collaboration across product, data, security, and engineering teams.