Agentic AI Architect

Job Description – Enterprise Agentic AI Architect Day to Day job Duties: As an AI Architect, You will design and build agentic AI systems across multiple Industries You will combine GenAI, ML, and systems engineering to create production ready AI agents that interact with machines, data streams, and enterprise systems. Key Responsibilities 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 . Basic Qualifications: 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 About NTT DATA 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. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, . NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here . Nearest Major Market: Dallas Nearest Secondary Market: Fort Worth Job Segment: Developer, Solution Architect, Information Technology, IT Architecture, Computer Science, Technology #J-18808-Ljbffr NTT DATA, Inc.