Full-Stack & AI Tech Lead - Onsite

Req ID:
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 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 programming skills in at least one backend language: Java, C#, Python, (TypeScript/JavaScript), or Go.
• Strong frontend experience: React, Angular, or 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: (TypeScript), Python (FastAPI), Java (Spring Boot), or .NET.
• Frontend: React + TypeScript, , state management (Redux, Zustand).
• Datastores: Postgres, MongoDB, Redis, Elasticsearch.
• AI Stack: OpenAI / Azure OpenAI, LangChain, LlamaIndex, Pinecone / Weaviate, Hugging Face.
• DevOps: Docker, Kubernetes, Helm, GitHub Actions, Terraform.
• Observability: Prometheus, Grafana, Datadog, ELK/EFK.
• Testing: unit, integration, e2e (Jest, PyTest, Cypress, Playwright).

Soft Skills & Leadership Traits

• 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. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is 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 and email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form,

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