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

NTT DATA is seeking a Solution Architect (Java, Cloud & AI) to join our hybrid team in Dallas, Texas.

About the role

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We accelerate client success and positively impact society through responsible innovation, offering unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services.

Responsibilities

• 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.

Requirements

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

Nice to Have

• 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.

Pay

The starting pay range for this role is $102,675.00 to $171,125.00. Actual compensation will depend on relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

Benefits

• Medical, dental, and vision insurance with employer contribution.
• Flexible spending or health savings account.
• Life and AD&D insurance.
• Short and long term disability coverage.
• Paid time off.
• Employee assistance program.
• 401k program with company match.
• Additional voluntary or legally-required benefits.

Schedule

This position requires a hybrid work model. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs.