Solution Architect (Java, Cloud & AI) - FTE / Hybrid

NTT America, Inc.; Dallas (TX); Hybrid; USD 103,000 - 171,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

HSA/FSA

Life and AD&D insurance

Disability insurance

Paid time off

Employee assistance program

401k match

Job summary

NTT DATA is seeking a senior architect to design and lead scalable, secure enterprise applications using Java, Spring Boot, and microservices.

You will drive cloud-native modernization across AWS/Azure/Google Cloud, integrate AI capabilities, and collaborate with cross-functional teams to meet security and compliance standards.

Qualifications

• 12+ years in software engineering or solution architecture, incl. 5+ years in enterprise-scale solutions.
• 8+ years with Java, Spring Boot, REST APIs, microservices, and distributed systems.
• 4+ years delivering cloud solutions on AWS/Azure/Google Cloud.
• 3+ years with Docker, Kubernetes/OpenShift, IaC, and DevOps practices.
• 2+ years designing or integrating AI with LLMs, generative AI, or vector databases.
• Experience with Kafka, API gateways, relational and NoSQL databases.

Responsibilities

• Design end-to-end architecture for scalable, secure enterprise apps with Java, Spring Boot, microservices, APIs, and event-driven patterns.
• Lead cloud-native modernization and migrations across AWS/Azure/Google Cloud, incl. containerization.
• Define solution blueprints, data flows, non-functional requirements, and architecture standards.
• Architect and integrate AI-enabled capabilities (generative AI, RAG, vector stores, agents).
• Evaluate cloud services, AI models, frameworks, and ensure security, observability, and compliance.
• Collaborate with product owners, architects, developers, data teams, DevOps, and security groups.
• Provide technical leadership through reviews, PoCs, troubleshooting, and mentoring.
• Define CI/CD, IaC, deployment, monitoring, and production support for cloud apps.

Skills

Java

Spring Boot

REST APIs

Microservices

Distributed systems

Enterprise integration patterns

Docker

Kubernetes/OpenShift

Kafka

APIs gateways

Education

Bachelor's degree in Computer Science/IT/Engineering or related field

Tools

OpenShift

CI/CD pipelines

Job description

Req ID: 384715

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

Day to Day Job Duties:

• Design end-to-end architecture for scalable, secure, resilient enterprise applications using Java, Spring Boot, microservices, APIs, and event-driven patterns.

• Lead cloud-native application modernization and migration initiatives across AWS, Microsoft Azure, or Google Cloud, including containerization and platform transformation.

• Define solution blueprints, integration patterns, data flows, non-functional requirements, and architecture standards aligned with enterprise technology and security guidelines.

• Architect and integrate AI-enabled capabilities such as generative AI, intelligent agents, retrieval-augmented generation, prompt workflows, and enterprise knowledge assistants.

• Evaluate and select appropriate cloud services, AI models, frameworks, vector databases, and integrate technologies based on scalability, latency, security, cost, and business requirements.

• Collaborate with product owners, business stakeholders, enterprise architects, developers, data teams, DevOps, infrastructure, and cybersecurity teams throughout the delivery lifecycle.

• Provide technical leadership to engineering teams through design reviews, code reviews, proof-of-concept development, troubleshooting, performance optimization, and mentoring.

• Ensure solutions incorporate security, privacy, responsible AI, observability, high availability, disaster recovery, and regulatory compliance requirements.

• Define CI/CD, infrastructure-as-code, deployment, monitoring, logging, and production support approaches for cloud-based Java and AI applications.

• Support technical estimations, proposal development, architecture presentations, vendor evaluations, risk identification, and delivery planning.

Basic Qualifications:

• Minimum 12+ years of experience in software engineering, application architecture, or solution architecture, including at least 5+ years designing enterprise-scale solutions.

• Minimum 8+ years of hands-on experience with Java, Spring Boot, REST APIs, microservices, distributed systems, and enterprise integration patterns.

• Minimum 4+ years of experience designing and delivering solutions on AWS, Microsoft Azure, or Google Cloud using cloud-native services.

• Minimum 3+ years of experience with Docker, Kubernetes or OpenShift, CI/CD pipelines, infrastructure-as-code, and DevOps practices.

• Minimum 2+ years of experience designing or integrating AI solutions using large language models, generative AI, AI agents, RAG, embeddings, prompt engineering, or vector databases.

• Strong experience with Kafka or other messaging platforms, API gateways, relational and NoSQL databases, caching, and event-driven architecture.

• Experience with AI platforms or frameworks such as OpenAI, Azure OpenAI, Amazon Bedrock, LangChain, LlamaIndex, Semantic Kernel, or equivalent technologies.

• Strong knowledge of application security and identity standards including OAuth 2.0, OpenID Connect, JWT, IAM, encryption, and role-based access controls.

• Demonstrated ability to communicate complex architecture concepts to technical and non-technical stakeholders and lead cross-functional engineering teams.

Travel: This position requires hybrid Model

Degree: Bachelor’s degree in computer science, Information Technology, Engineering, or a related field, or equivalent work experience.

Nice to Have: (But not a must)

• Experience with Python and AI application development using FastAPI, Flask, or similar frameworks.

• Experience building enterprise AI assistants, autonomous or semi-autonomous agents, and knowledge-based applications.

• Familiarity with model evaluation, hallucination and bias testing, AI governance, model monitoring, and MLOps practices.

• Experience with Snowflake, Databricks, data lakes, streaming platforms, or modern enterprise data architectures.

• Experience in financial services, retirement services, wealth management, insurance, or another highly regulated industry.

• Cloud architecture, Java, Kubernetes, or AI-related professional certifications.

• Pre-sales, consulting, proposal development, estimation, and client presentation experience.

#LI-NorthAmerica

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $102,675.00 to $171,125.00. Actual compensation will depend on a number of factors, including the candidate’s 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 including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, lifeand 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.

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.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users.

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 (http://us.nttdata.com/en/compliance#eeos). If you’d like more information on your EEO rights under the law, please click here (http://us.nttdata.com/en/compliance#know-your-rights). For Pay Transparency information, please click here (http://us.nttdata.com/en/compliance#ppnp).