AI Agent Engineer

Summary

NTT DATA Services provides IT and business services and seeks an AI Agent Engineer to develop enterprise-grade AI agents for high-volume customer interactions across contact center and digital customer experience environments. The role involves building, integrating, testing, deploying, and improving conversational or autonomous AI agents while collaborating with CX, product, client, and technical stakeholders.

Responsibilities

• Design, build, and deploy enterprise-grade AI agents that support high-volume customer interactions across contact center and digital CX environments
• Partner closely with CX, product, and client stakeholders to translate business and customer requirements into robust AI agent solutions
• Build AI agents from the ground up, including conversation flows, knowledge retrieval, API integrations, and backend/frontend components
• Test and validate agent behavior across a wide range of real-world scenarios, including edge cases and failure modes
• Contribute to best practices around agent architecture, prompt design, testing, deployment, and versioning
• Build agents programmatically using extensive coding workflows across development, testing, deployment, and version control
• Collaborate with stakeholders to ensure agents meet functional, technical, and experiential requirements
• Balance deep engineering execution with solution-oriented thinking, especially as platforms evolve toward more configurable and composable approaches

Skills

• **3+ years of hands-on software engineering experience, building and shipping production-grade systems.**
• Prior experience in senior-level engineering roles, with the ability to work independently across the full development lifecycle
• Strong communication skills, including the ability to tailor technical concepts for non-technical and executive audiences
• Bachelor's degree in Computer Science or a related field, or equivalent professional experience
• Experience working in or with customer-facing products, ideally within contact centers, CX platforms, or enterprise SaaS
• **Strong proficiency in React and TypeScript (intermediate to advanced).**
• Experience building and integrating API-driven systems, including authentication, permissions, and data access
• Solid understanding of Git and standard engineering workflows (branching, PRs, CI/CD)
• Comfortable working from the terminal and navigating modern developer tooling
• Working knowledge of LLMs and prompt engineering fundamentals, including how to evaluate and iterate on model behavior
• Ability to design, test, and deploy software using code-first workflows
• Experience developing code-based conversational or autonomous AI agents
• Familiarity with agent testing strategies, including simulations, scenario testing, and conversation evaluation
• Understanding of how AI agents operate within customer support journeys, knowledge retrieval systems, and backend integrations
• Exposure to contact center concepts such as intents, escalation paths, agent assist, deflection, and customer satisfaction metrics
• Experience building or deploying conversational AI solutions using AI-Native or equivalent platforms

Qualifications

Must Haves

• **3+ years of hands-on software engineering experience, building and shipping production-grade systems.**
• Prior experience in senior-level engineering roles, with the ability to work independently across the full development lifecycle
• Strong communication skills, including the ability to tailor technical concepts for non-technical and executive audiences
• Bachelor's degree in Computer Science or a related field, or equivalent professional experience
• Experience working in or with customer-facing products, ideally within contact centers, CX platforms, or enterprise SaaS
• **Strong proficiency in React and TypeScript (intermediate to advanced).**
• Experience building and integrating API-driven systems, including authentication, permissions, and data access
• Solid understanding of Git and standard engineering workflows (branching, PRs, CI/CD)
• Comfortable working from the terminal and navigating modern developer tooling
• Working knowledge of LLMs and prompt engineering fundamentals, including how to evaluate and iterate on model behavior
• Ability to design, test, and deploy software using code-first workflows
• Experience developing code-based conversational or autonomous AI agents
• Familiarity with agent testing strategies, including simulations, scenario testing, and conversation evaluation
• Understanding of how AI agents operate within customer support journeys, knowledge retrieval systems, and backend integrations
• Exposure to contact center concepts such as intents, escalation paths, agent assist, deflection, and customer satisfaction metrics
• Experience building or deploying conversational AI solutions using AI-Native or equivalent platforms

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Flexible spending or health savings account
• AD&D insurance
• Employee assistance
• Participation in a 401k program
• Additional voluntary or legally-required benefits
• Life insurance
• Short- and long-term disability coverage
• Paid time off
• Participation in a 401k program with company match