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, apply now.
We are currently seeking a Solution Architect (Java, Cloud & AI) - FTE / Hybrid
to join our team in Dallas, Texas (US-TX), United States (US).
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
#INDFSINS
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, 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.
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, @nttdatafed.com and @talent.nttdataservices.com
email addresses. If you are requested to provide payment or disclose banking
information, please submit a contact us
form, https://us.nttdata.com/en/contact-us
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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
[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].
