Full-Stack & AI Tech Lead - Onsite

Req : 346764

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 Full-Stack & AI Tech Lead - Onsite to join our team in Houston ,
Texas (US-TX) ,
United States (US) .

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 Dev Ops and Agile practices. This role requires strong technical depth, excellent communication, stakeholder management, and practical experience integrating AI tools and models into production applications.

• 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, Dev Ops), 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.

• 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 programming skills in at least one backend language:
  Java, C#, Python, Node.js (Type Script/JavaScript), or Go .

• Strong frontend experience:
  React, Angular, or Vue.js and modern CSS frameworks.

• Solid knowledge of RESTful APIs , Web Sockets/gRPC, and API design best practices.

• Experience with relational and No
  
  SQL databases:
  Postgre
  
  SQL, MySQL, Mongo
  
  DB, 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, Git Hub Actions, Git Lab CI, or Azure Dev Ops .

• 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.

• 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 Lang Chain ,
  Llama Index , or similar orchestration frameworks for chaining prompts, tools, and…