Responsibilities
- Design and deploy generative AI applications using large language models to enable capabilities such as question answering, text summarization, data extraction, and content classification through prompt engineering and structured output formatting.
- Construct retrieval-augmented generation (RAG) pipelines involving document ingestion, text chunking, embedding generation, and similarity search using vector databases to ensure responses are grounded in enterprise-specific knowledge sources.
- Develop autonomous agent workflows that perform tool usage, task delegation, and multi-step reasoning using established frameworks and design patterns for agentic behavior.
- Integrate artificial intelligence components with internal enterprise systems using secure APIs, authentication protocols, and authorized access controls while adhering to organizational engineering standards.
- Ensure system reliability by implementing logging, telemetry, and monitoring solutions, and actively contribute to testing and evaluation processes to detect regressions and maintain production stability.
- Leverage AI-powered coding assistants (e.g., Copilot, Cursor-style tools) to enhance development speed while preserving code quality and participating in peer review practices.
Work Arrangement
Hybrid
Other
We prioritize local hiring near company offices or client locations to ensure responsive and customized support. Remote or hybrid arrangements are available for many roles but may change based on client demands. Employees near physical locations may be asked to attend in-person meetings or events as needed. Flexibility remains central to meeting both client and employee needs. Recruiters will never request payment or financial details and will only contact via @nttdata.com or @talent.nttdataservices.com domains. Report any suspicious requests through the official contact form at https://us.nttdata.com/en/contact-us.
