HCLTech
Base Pay range
$115,000.00/yr - $237,600.00/yr
Job Title Enterprise Architect / Gen AI Software Engineer Architect
Job ID 2776482
Position Type Full-Time Employment
Location Newark, New Jersey, USA
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 – Implementing caching strategies (Redis, CDN), asynchronous job processing (RabbitMQ, Kafka), and load‑balanced architectures using Kubernetes or serverless platforms.
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.).
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
AI‑ML Modeling
LLM
Seniority level Director
Employment type Full‑time
Job function Information Technology, Engineering, and Consulting
Industries Information Services, Architecture and Planning, and Software Development
Pay and Benefits Pay Range Minimum: $115,000 Pay Range Maximum: $237,600
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.
A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance‑based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need‑based leave with no designated number of leave days per year); and 10 paid holidays per year.
How You’ll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior‑level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
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Job Title Enterprise Architect / Gen AI Software Engineer Architect
Job ID 2776482
Position Type Full-Time Employment
Location Newark, New Jersey, USA
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 – Implementing caching strategies (Redis, CDN), asynchronous job processing (RabbitMQ, Kafka), and load‑balanced architectures using Kubernetes or serverless platforms.
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.).
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
AI‑ML Modeling
LLM
Seniority level Director
Employment type Full‑time
Job function Information Technology, Engineering, and Consulting
Industries Information Services, Architecture and Planning, and Software Development
Pay and Benefits Pay Range Minimum: $115,000 Pay Range Maximum: $237,600
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.
A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance‑based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need‑based leave with no designated number of leave days per year); and 10 paid holidays per year.
How You’ll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior‑level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
#J-18808-Ljbffr