Agentic AI Architect

Agentic Architecture & Orchestration

• Design and implement multi-agent AI systems that coordinate specialized agents, tools, and enterprise workflows.
• Develop agent orchestration frameworks, including planning, reasoning, memory management, task decomposition, and autonomous decision-making capabilities.
• Define architectural patterns for agent governance, observability, evaluation, and safety controls in enterprise environments.
• Define enterprise architecture standards, reference implementations, and best practices for Agentic AI, GenAI, Knowledge Graphs, and retrieval systems.

Knowledge Graphs & Advanced Retrieval

• Design and implement Knowledge Graph and Graph RAG architectures to improve reasoning, contextual understanding, and retrieval accuracy.
• Build and maintain enterprise knowledge models using ontologies, semantic relationships, metadata, and graph databases.
• Develop advanced retrieval pipelines combining vector search, hybrid search, graph traversal, and semantic retrieval techniques.

Agent Evaluation & Operations

• Establish frameworks for measuring agent performance, reasoning quality, task completion accuracy, and retrieval effectiveness.
• Build evaluation pipelines for agentic systems, including hallucination detection, grounding validation, and response quality metrics.

• 8+ Years of Strong experience in Python-based AI systems
• Demonstrated experience building and deploying agentic AI systems in production environments.
• 3+ years architecting and deploying enterprise-scale agentic AI solutions using frameworks such as CrewAI, LangChain, LangGraph, AutoGen, Strands, or equivalent orchestration platforms
• Experience designing and implementing multi-agent architectures, agent workflows, tool-calling systems, planning/reasoning agents, and agent orchestration patterns
• Experience with Knowledge Graphs, semantic data models, and retrieval architecture, including technologies such as Neo4j, AWS Neptune, RDF, SPARQL, vector databases, graph-based RAG, or similar enterprise knowledge systems
• Strong understanding of advanced retrieval techniques including Graph RAG, hybrid search, knowledge-grounded AI systems, embeddings, vector search, and semantic retrieval strategies
• Bachelor’s in computer science or equivalent work experience

Additional Qualifications (Nice to Have)

• Experience building production grade AI systems (not just prototypes)
• Ability to explain AI decisions to non-technical stakeholders

Multiple Industry Domains experience

AWS, GCP, or NVIDIA AI stack experience

Knowledge of model governance and explainability

Experience with document intelligence pipelines

• Comfortable working with subject-matter experts
• Strong learning mindset and adaptability

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $122,648 - 283,906. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.