Senior GenAI Architect: Distributed AI Systems & Retrieval
NTT DATA North America
Charlotte (NC)
On-site
USD 150,000 - 200,000
Full time
14 days+
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Job summary
NTT DATA North America is seeking a Principal GenAI Architect in Charlotte, North Carolina. This role involves serving as the ultimate technical authority for GenAI architecture, leading the review of third-party AI integrations, and designing sophisticated systems like retrieval frameworks. Candidates should have extensive experience in programming, LLM optimization, Kubernetes, and GPU orchestration. This position offers an exciting opportunity to shape the future of AI solutions within a dynamic organization.
Qualifications
12–15 years of experience building large-scale distributed systems.
5–7 years of hands-on experience with LLM deployment strategies.
3–5 years experience in building complex agentic systems.
10–12 years of extensive experience with Kubernetes and cloud infrastructure.
8–10 years understanding of GPU resource management.
12–15 years ability to navigate complex organizations.
Responsibilities
Serve as the ultimate technical authority for GenAI architecture.
Lead architectural review for third-party AI integrations.
Design frameworks that incorporate robust workflow logic.
Architect sophisticated retrieval systems and agent data stacks.
Implement solutions for externalized long-term memory and contextual data.
Skills
Programming proficiency (Python, Go, C++)
LLM inference optimization
Agentic architectures design
Kubernetes management
GPU orchestration
Strategic communication
Job description
NTT DATA North America is seeking a Principal GenAI Architect in Charlotte, North Carolina. This role involves serving as the ultimate technical authority for GenAI architecture, leading the review of third-party AI integrations, and designing sophisticated systems like retrieval frameworks. Candidates should have extensive experience in programming, LLM optimization, Kubernetes, and GPU orchestration. This position offers an exciting opportunity to shape the future of AI solutions within a dynamic organization.