NTT DATA AIVista

AI Engineer

• Design and deploy agentic systems, infrastructure, and workflows for enterprise AI products
• Customize foundation models to customer domains using tuning, RAG, and related techniques
• Build scalable, reliable software systems for production enterprise workloads
• Deploy capabilities alongside customers and partner with cross-functional and customer teams
• Improve capabilities, troubleshoot technical issues, and turn customer feedback into product improvements
• Ship agents that run regulated back-office processes using systems of record, policies, risk classifications, and human approval steps
• Build domain-specialization layers for foundation models and validate them on real customer cases
• Design orchestration, tool integration, memory, and context infrastructure for reliable agent operation
• Establish evaluation and guardrail harnesses for production readiness
• Instrument governance and observability so agent decisions are auditable and policy-aligned
• Reduce latency and cost of enterprise-scale agentic workflows without sacrificing reliability

Member of Technical Staff – Applied AI Engineering

Software Engineer

• Build production services — design and ship scalable, reliable backend services and APIs that power the AIVista platform.
• Integrate with the enterprise — build the connections, data pipelines, and plumbing that let our platform work inside real customer systems.
• Build the infrastructure agents run on — develop the deployment, orchestration, and tooling that keep agentic workflows running reliably in production.
• Own quality — write well-tested, maintainable code, and help raise the engineering bar across the team.
• Collaborate and iterate — partner with product, AI, and customer teams, and turn feedback and production signals into improvements.

Member of Technical Staff – Applied AI Engineering

Member of Technical Staff – Enterprise Engineering