Senior AI Architect – GenAI, RAG & LLMOps Lead

ciandt; United States; Hybrid; USD 180,000 - 270,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Life insurance

Meal allowance

Childcare support

Paternity leave

Profit sharing

Wellness program

Learning platform

Discount club

Accessibility support

Job summary

CIANDT is seeking a senior AI architect to lead the design and deployment of production-grade AI solutions for enterprise clients and internal teams. You will shape architecture across generation, retrieval, and deployment, with emphasis on LLMOps, RAG, and multi-agent systems.

You will combine hands-on engineering with technical leadership, drive measurable business impact, and collaborate across global teams using Python and modern AI tooling such as LangChain, vector databases, and cloud

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related field.
• Advanced English proficiency for global collaboration.
• Proven experience developing and deploying Generative AI solutions in production.
• Background designing technical architectures for complex, business-critical enterprise systems.
• Demonstrated technical leadership across multidisciplinary initiatives.
• Advanced proficiency in Python.

Responsibilities

• Architect AI solutions balancing performance, scalability, security, governance, cost, and long-term sustainability.
• Build AI-powered products and platforms that meet enterprise engineering standards and business objectives.
• Design intelligent and multi-agent systems covering planning, reasoning, task orchestration, and tool usage.
• Develop advanced RAG architectures using embeddings, vector databases, GraphRAG, hybrid search, reranking, and grounding.
• Integrate AI capabilities with enterprise ecosystems such as ERPs, CRMs, data platforms, and transactional systems.
• Evaluate large language models, small language models, and multimodal components, defining quality and evaluation metrics.
• Implement observability and monitoring across performance, cost, latency, usage, and model behavior.
• Establish LLMOps pipelines covering development, testing, versioning, deployment, and ongoing monitoring.
• Act as a technical reference, shaping architectural decisions and promoting engineering best practices.

Skills

Python

LangChain

LangGraph

Semantic Kernel

LlamaIndex

OpenAI / Azure OpenAI

RAG architectures

Vector databases

Education

Bachelor's degree in CS/CE/SE/IS

Tools

Azure

AWS

GCP

APIs / microservices

Job description

CIANDT is seeking a senior AI architect to lead the design and deployment of production-grade AI solutions for enterprise clients and internal teams. You will shape architecture across generation, retrieval, and deployment, with emphasis on LLMOps, RAG, and multi-agent systems.

You will combine hands-on engineering with technical leadership, drive measurable business impact, and collaborate across global teams using Python and modern AI tooling such as LangChain, vector databases, and cloud