Senior Technical Architect bei HCL Technologies
HCL Technologies · Dallas, Vereinigte Staaten Von Amerika · Hybrid
- Senior
- Optionales Büro in Dallas
Skill (Primary)
Location
Job Family
Employee Group
Job
Job Description (Posting).
- Job Title: Software Engineering Architect / Gen AI Architect / Senior Technical Architect
- Job ID: 2763469
- Position Type: Full-Time Employment
- Location: Dallas, Texas, USA (Onsite/Hybrid Only)
JD for Software Engineering Architect:
Experience:
10+ years in software engineering, with at least 3 years in architectural roles
Key Responsibilities
- Lead the architecture, design, and development of enterprise-scale web applications with integrated Generative AI capabilities.
- Define technical standards, architectural patterns, and best practices for scalable and secure software systems.
- Collaborate with product, AI/ML, DevOps, and security teams to ensure alignment between business goals and technical execution.
- Oversee full-stack development lifecycle, ensuring robust design, performance tuning, and security compliance.
- Evaluate and integrate AI components such as LLMs, embedding services, and vector databases into product architecture.
Mandatory Technical Skills
- Cloud-Native Architecture & Microservices
Proven experience designing scalable, cloud-native applications using microservices and event-driven patterns on Azure Ecosystem.
- Performance Optimization
- GenAI Integration & LLM Orchestration
Hands-on with Generative AI technologies—Azure OpenAI, prompt engineering, RAG pipelines, embeddings, and vector search (e.g., Azure AI search, Azure PostgreSQL etc..).
- Backend Engineering (APIs, Data, Security)
Strong expertise in REST APIs with versioning, throttling, and gateway integrations., PostgreSQL/MongoDB, OAuth2/SSO, and secure coding aligned with GDPR/SOC2 standards.
- Frontend Development (React/Next.js)
Deep experience building enterprise-grade UIs using React.JS, component libraries, and modern design systems.
- DevOps & Infrastructure as Code
Proficiency in Azure CI/CD pipelines, Docker, and Kubernetes for automated, scalable deployments.
- Real-Time & Scalable UI Patterns
Experience with WebSockets/SSE, UI performance optimization, and handling large-scale dynamic frontends.
- Testing, Observability & Quality Engineering
Competence in automated unit/E2E testing, frontend performance profiling, and monitoring of Deployed solutions.
Skills:
- Gen AI
- AI-ML Modeling
- LLM
- Azure AI
- Azure Architecture