Hcl Technologies
Overview
HCLTech is looking for a highly talented and self-motivated Enterprise Architect / Gen AI Software Engineer Architect to join in advancing the technological world through innovation and creativity. Job Title:
Enterprise Architect / Gen AI Software Engineer Architect Job ID:
2776496 Position Type:
Full-Time Employment Location:
Hartford, Connecticut, USA 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. Qualifications
Experience: 10+ years in software engineering, with at least 3 years in architectural roles. 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). 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, Python, Azure Architecture. Compensation & Benefits
A candidate’s pay within the range will depend on location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses. Benefits include medical, dental, vision, pharmacy, life, accidental death & dismemberment, disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (with possible need-based leave in some roles); and 10 paid holidays per year.
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HCLTech is looking for a highly talented and self-motivated Enterprise Architect / Gen AI Software Engineer Architect to join in advancing the technological world through innovation and creativity. Job Title:
Enterprise Architect / Gen AI Software Engineer Architect Job ID:
2776496 Position Type:
Full-Time Employment Location:
Hartford, Connecticut, USA 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. Qualifications
Experience: 10+ years in software engineering, with at least 3 years in architectural roles. 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). 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, Python, Azure Architecture. Compensation & Benefits
A candidate’s pay within the range will depend on location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses. Benefits include medical, dental, vision, pharmacy, life, accidental death & dismemberment, disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (with possible need-based leave in some roles); and 10 paid holidays per year.
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