NTT DATA, Inc.
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.
Full‑Stack & AI Tech Lead – Onsite, Houston, Texas, United States.
We are seeking a seasoned Full Stack Developer / Engineer with 10+ years of demonstrable experience to lead greenfield and modernization application development projects. The ideal candidate will be a hands‑on technical leader who can design architecture, implement scalable solutions across frontend and backend, integrate AI capabilities, mentor engineers, and drive delivery using modern DevOps and Agile practices. This role requires strong technical depth, excellent communication, stakeholder management, and practical experience integrating AI tools and models into production applications.
Key Responsibilities / Duties
Lead end‑to‑end application development : define architecture, set coding standards, design APIs, and own delivery from proof‑of‑concept to production.
Hands‑on development : contribute code across the full stack — frontend, backend, database, CI/CD pipelines, and automated testing.
Architectural ownership : make decisions on microservices vs monoliths, data models, caching, scaling, fault tolerance, security, and deployment strategy (containers, serverless, or VMs).
AI integration : design and implement AI/ML features (e.g., LLM‑based assistants, recommendation engines, RAG workflows), ensuring safe, scalable, and performant deployments.
Team leadership & mentoring : lead a cross‑functional delivery team (developers, QA, UI/UX, DevOps), conduct code reviews, pair programming, and career coaching.
Project management & delivery : work with product managers and stakeholders to define scope, estimate, prioritize backlog, and ensure on‑time, on‑budget delivery following Agile methodologies.
Quality, security & compliance : enforce automated testing, code quality checks, secure coding practices, and compliance (GDPR, SOC2, etc.) where applicable.
Operational excellence : set up monitoring, logging, incident response, performance tuning, and runbooks for SRE/devops handoff.
Continuous improvement : evaluate new technologies, recommend process improvements, and adopt engineering best practices.
Documentation & stakeholder communication : produce architecture docs, runbooks, and regular status reports to technical and non‑technical stakeholders.
Required Qualifications
Minimum 8+ years
of professional software development experience with significant time in full stack roles.
Proven experience
leading application development projects
and delivering production‑grade systems.
Strong frontend experience:
React, Angular, or Vue.js
and modern CSS frameworks.
Solid knowledge of
RESTful APIs , WebSockets/gRPC, and API design best practices.
Experience with relational and NoSQL databases:
PostgreSQL, MySQL, MongoDB, Redis
(or equivalent).
Operational experience with
Cloud platforms : AWS, Azure, or GCP — including compute, managed databases, IAM, and observability services.
CI/CD and automation experience:
Jenkins, GitHub Actions, GitLab CI, or Azure DevOps .
Containerization and orchestration:
Docker ,
Kubernetes
experience preferred.
Strong understanding of
software architecture patterns , scalability, performance tuning, and security best practices.
Excellent communication, stakeholder management, and leadership skills.
AI & ML Tooling Requirements
Practical experience integrating
AI/LLM services
into applications (e.g., OpenAI, Azure OpenAI, Anthropic, Cohere).
Familiarity with
prompt engineering , prompt templates, and managing prompt life‑cycle.
Experience building
Retrieval‑Augmented Generation (RAG)
workflows using vector/semantic search and embedding models.
Hands‑on with
vector databases :
Pinecone, Milvus, Weaviate, or self‑managed FAISS .
Familiarity with
LangChain ,
LlamaIndex , or similar orchestration frameworks for chaining prompts, tools, and memory.
Knowledge of LLM deployment/finetuning pipelines (fine‑tuning, instruction tuning) and model management approaches.
Experience with
MLops
and monitoring for AI features: model versioning, drift detection, inference latency, cost controls.
Use of developer productivity AI tools (e.g.,
GitHub Copilot , Tabnine) and security/quality tools for AI‑assisted development is a plus.
Awareness of AI safety, privacy, and ethical considerations (data leakage, hallucinations, bias) and implementation of mitigations.
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Experience with event‑driven architectures, streaming systems (Kafka, Kinesis).
Experience with mobile/web performance optimization and accessibility (WCAG).
Prior experience in regulated industries (finance, healthcare) or enterprise SaaS.
Certifications: AWS Certified Solutions Architect, Azure Solutions Architect, or equivalent.
Technical Stack Examples (typical)
Backend:
Node.js (TypeScript) ,
Python (FastAPI) ,
Java (Spring Boot) , or
.NET .
Testing: unit, integration, e2e (Jest, PyTest, Cypress, Playwright).
Ownership
mindset and ability to make pragmatic trade‑offs.
Strong
communication : translate technical concepts for business stakeholders.
Mentor and grow engineers; foster a culture of
knowledge sharing and code quality .
Comfortable with ambiguity and driving decisions.
Collaborative: works well with Product, UX, Security, and Ops teams.
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.
NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
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.
NTT DATA endeavors to make https://us.nttdata.com 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 https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
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Full‑Stack & AI Tech Lead – Onsite, Houston, Texas, United States.
We are seeking a seasoned Full Stack Developer / Engineer with 10+ years of demonstrable experience to lead greenfield and modernization application development projects. The ideal candidate will be a hands‑on technical leader who can design architecture, implement scalable solutions across frontend and backend, integrate AI capabilities, mentor engineers, and drive delivery using modern DevOps and Agile practices. This role requires strong technical depth, excellent communication, stakeholder management, and practical experience integrating AI tools and models into production applications.
Key Responsibilities / Duties
Lead end‑to‑end application development : define architecture, set coding standards, design APIs, and own delivery from proof‑of‑concept to production.
Hands‑on development : contribute code across the full stack — frontend, backend, database, CI/CD pipelines, and automated testing.
Architectural ownership : make decisions on microservices vs monoliths, data models, caching, scaling, fault tolerance, security, and deployment strategy (containers, serverless, or VMs).
AI integration : design and implement AI/ML features (e.g., LLM‑based assistants, recommendation engines, RAG workflows), ensuring safe, scalable, and performant deployments.
Team leadership & mentoring : lead a cross‑functional delivery team (developers, QA, UI/UX, DevOps), conduct code reviews, pair programming, and career coaching.
Project management & delivery : work with product managers and stakeholders to define scope, estimate, prioritize backlog, and ensure on‑time, on‑budget delivery following Agile methodologies.
Quality, security & compliance : enforce automated testing, code quality checks, secure coding practices, and compliance (GDPR, SOC2, etc.) where applicable.
Operational excellence : set up monitoring, logging, incident response, performance tuning, and runbooks for SRE/devops handoff.
Continuous improvement : evaluate new technologies, recommend process improvements, and adopt engineering best practices.
Documentation & stakeholder communication : produce architecture docs, runbooks, and regular status reports to technical and non‑technical stakeholders.
Required Qualifications
Minimum 8+ years
of professional software development experience with significant time in full stack roles.
Proven experience
leading application development projects
and delivering production‑grade systems.
Strong frontend experience:
React, Angular, or Vue.js
and modern CSS frameworks.
Solid knowledge of
RESTful APIs , WebSockets/gRPC, and API design best practices.
Experience with relational and NoSQL databases:
PostgreSQL, MySQL, MongoDB, Redis
(or equivalent).
Operational experience with
Cloud platforms : AWS, Azure, or GCP — including compute, managed databases, IAM, and observability services.
CI/CD and automation experience:
Jenkins, GitHub Actions, GitLab CI, or Azure DevOps .
Containerization and orchestration:
Docker ,
Kubernetes
experience preferred.
Strong understanding of
software architecture patterns , scalability, performance tuning, and security best practices.
Excellent communication, stakeholder management, and leadership skills.
AI & ML Tooling Requirements
Practical experience integrating
AI/LLM services
into applications (e.g., OpenAI, Azure OpenAI, Anthropic, Cohere).
Familiarity with
prompt engineering , prompt templates, and managing prompt life‑cycle.
Experience building
Retrieval‑Augmented Generation (RAG)
workflows using vector/semantic search and embedding models.
Hands‑on with
vector databases :
Pinecone, Milvus, Weaviate, or self‑managed FAISS .
Familiarity with
LangChain ,
LlamaIndex , or similar orchestration frameworks for chaining prompts, tools, and memory.
Knowledge of LLM deployment/finetuning pipelines (fine‑tuning, instruction tuning) and model management approaches.
Experience with
MLops
and monitoring for AI features: model versioning, drift detection, inference latency, cost controls.
Use of developer productivity AI tools (e.g.,
GitHub Copilot , Tabnine) and security/quality tools for AI‑assisted development is a plus.
Awareness of AI safety, privacy, and ethical considerations (data leakage, hallucinations, bias) and implementation of mitigations.
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Experience with event‑driven architectures, streaming systems (Kafka, Kinesis).
Experience with mobile/web performance optimization and accessibility (WCAG).
Prior experience in regulated industries (finance, healthcare) or enterprise SaaS.
Certifications: AWS Certified Solutions Architect, Azure Solutions Architect, or equivalent.
Technical Stack Examples (typical)
Backend:
Node.js (TypeScript) ,
Python (FastAPI) ,
Java (Spring Boot) , or
.NET .
Testing: unit, integration, e2e (Jest, PyTest, Cypress, Playwright).
Ownership
mindset and ability to make pragmatic trade‑offs.
Strong
communication : translate technical concepts for business stakeholders.
Mentor and grow engineers; foster a culture of
knowledge sharing and code quality .
Comfortable with ambiguity and driving decisions.
Collaborative: works well with Product, UX, Security, and Ops teams.
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.
NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
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.
NTT DATA endeavors to make https://us.nttdata.com 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 https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
#J-18808-Ljbffr