Staff AI Engineer - Enterprise Agentic Systems

NTT DATA AIVista; Palo Alto (CA); Hybrid; USD 300,000 - 400,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) plan

Significant company HSA contribution

Paid holidays and flexible PTO

Job summary

NTT DATA AIVista is seeking a highly experienced Member of Technical Staff – Applied AI Engineering to design agentic infrastructure and workflows for enterprise AI products. You will customize models to customer domains, build scalable software, and deploy inside large enterprises with strong governance and reliability.

You will own end-to-end capabilities from prototype to production, collaborating across engineering, product, and research to deliver performant, auditable AI solutions at scale.

Qualifications

• Bachelor’s degree in a technical field or equivalent experience.
• Production-quality software engineering in Python and other languages.
• Experience taking AI capabilities from prototype to production in enterprise settings.
• Hands-on experience deploying services on major cloud platforms with containers.
• Experience building LLM-powered agentic applications and RAG workflows.
• Strong ownership, bias for action, and clear communication with customers.

Responsibilities

• Design and deploy agentic infrastructure and workflows.
• Customize models to customer domains via tuning and RAG.
• Engineer scalable, reliable software for production AI products.
• Deploy with customers and partner with cross-functional teams.
• Iterate and improve capabilities based on customer feedback.

Skills

AI product development

Production software engineering

Python

Cloud deployment

LLM-powered apps

RAG

Agent frameworks

Container orchestration

Education

Bachelor’s degree in a technical field

MS or PhD in Computer Science or related field

Tools

Docker

Kubernetes

Helm

LangGraph

LlamaIndex

OpenAI API

Anthropic API

Amazon Bedrock

Job description

NTT DATA AIVista is seeking a highly experienced Member of Technical Staff – Applied AI Engineering to design agentic infrastructure and workflows for enterprise AI products. You will customize models to customer domains, build scalable software, and deploy inside large enterprises with strong governance and reliability.

You will own end-to-end capabilities from prototype to production, collaborating across engineering, product, and research to deliver performant, auditable AI solutions at scale.