We Love AI JobsGenerative AI Architect
GalentAs a Generative AI Architect at Galent, you will lead the architecture and development of enterprise web applications that integrate cutting-edge generative AI technologies. With a focus on Azure solutions, you'll collaborate with diverse teams to align goals, ensuring production readiness and scalability while driving best practices in full-stack development.
Skills & Expertise
Key Responsibilities
Lead architecture and development of enterprise web applications with integrated Generative AI.
Define scalable, secure architectural patterns and implementation standards.
Ensure production readiness—security, networking, monitoring, performance, and compliance.
Full Description
JOB DESCRIPTION
ROLE : Gen AI Architect
LOCATION: NYC / NJ Area
Experience
* 10+ years in ML/Engineering.
* At least 5 years in architecture roles.
* Proven experience delivering production-grade solutions on Azure.
* Hands-on ownership of end-to-end application lifecycle—from design to deployment.
Responsibilities
* Lead architecture and development of enterprise web applications with integrated Generative AI.
* Define scalable, secure architectural patterns and implementation standards.
* Work closely with product, AI/ML, DevOps, security, and network teams to align business and technical goals.
* Drive full-stack development best practices across backend, frontend, and infrastructure.
* Architect and integrate LLMs, embeddings, RAG pipelines, and vector databases into production systems.
* Ensure production readiness—security, networking, monitoring, performance, and compliance.
Mandatory Technical Skills
Cloud Architecture (Azure)
* Deep experience designing cloud-native, microservices and event-driven architectures.
* Expertise with Azure App Services, AKS, Functions, API Management, Event Grid, Service Bus, Storage, and Key Vault.
* Strong understanding of subscription design, resource hierarchy, and environment isolation.
Networking & Security
* Hands-on experience with:
* VNETs, subnets, private endpoints, service endpoints.
* NSGs, ASGs, routing, firewalls, and VPN/ExpressRoute connectivity.
* Whitelisting, IP restrictions, certificates, TLS, and enterprise-grade authentication flows.
* Experience implementing Zero Trust, RBAC, managed identities, and secure secrets handling.
Performance & Scalability
* Expertise in caching (Redis/CDN), async processing (RabbitMQ/Kafka), load balancing, auto-scaling, and performance tuning.
GenAI Integration
* Hands-on experience with Azure OpenAI, RAG patterns, embeddings,
* prompt engineering, vector search (Azure AI Search, PostgreSQL
* extensions).
* Experience orchestrating LLM pipelines in real-world production
* environments.
Backend Engineering
* Strong REST API design (versioning, throttling, API gateways).
* Expert in PostgreSQL/MongoDB, data modeling, query optimization.
* Experience with OAuth2, SSO, and secure coding aligned to GDPR/SOC2.
Frontend Engineering
* Deep experience with React/Next.js, component libraries, and enterprise UI patterns.
DevOps & IaC
* Strong proficiency with:
* Azure DevOps or GitHub Actions CI/CD.
* Docker, Kubernetes (AKS), Helm.
* Terraform or Bicep for infrastructure automation.
* Experience managing production roll-outs, blue-green deployments, and canary releases.
Real-Time & Scalable UI
* Knowledge of WebSockets/SSE, state management, and high-performance UI rendering.
Testing & Observability
* Experience with automated unit/E2E testing.
* Strong knowledge of logging, tracing, monitoring (App Insights, Log Analytics), and alerting.
JOB DESCRIPTION
ROLE : Gen AI Architect
LOCATION: NYC / NJ Area
Experience
* 10+ years in ML/Engineering.
* At least 5 years in architecture roles.
* Proven experience delivering production-grade solutions on Azure.
* Hands-on ownership of end-to-end application lifecycle—from design to deployment.
Responsibilities
* Lead architecture and development of enterprise web applications with integrated Generative AI.
* Define scalable, secure architectural patterns and implementation standards.
* Work closely with product, AI/ML, DevOps, security, and network teams to align business and technical goals.
* Drive full-stack development best practices across backend, frontend, and infrastructure.
* Architect and integrate LLMs, embeddings, RAG pipelines, and vector databases into production systems.
* Ensure production readiness—security, networking, monitoring, performance, and compliance.
Mandatory Technical Skills
Cloud Architecture (Azure)
* Deep experience designing cloud-native, microservices and event-driven architectures.
* Expertise with Azure App Services, AKS, Functions, API Management, Event Grid, Service Bus, Storage, and Key Vault.
* Strong understanding of subscription design, resource hierarchy, and environment isolation.
Networking & Security
* Hands-on experience with:
* VNETs, subnets, private endpoints, service endpoints.
* NSGs, ASGs, routing, firewalls, and VPN/ExpressRoute connectivity.
* Whitelisting, IP restrictions, certificates, TLS, and enterprise-grade authentication flows.
* Experience implementing Zero Trust, RBAC, managed identities, and secure secrets handling.
Performance & Scalability
* Expertise in caching (Redis/CDN), async processing (RabbitMQ/Kafka), load balancing, auto-scaling, and performance tuning.
GenAI Integration
* Hands-on experience with Azure OpenAI, RAG patterns, embeddings,
* prompt engineering, vector search (Azure AI Search, PostgreSQL
* extensions).
* Experience orchestrating LLM pipelines in real-world production
* environments.
Backend Engineering
* Strong REST API design (versioning, throttling, API gateways).
* Expert in PostgreSQL/MongoDB, data modeling, query optimization.
* Experience with OAuth2, SSO, and secure coding aligned to GDPR/SOC2.
Frontend Engineering
* Deep experience with React/Next.js, component libraries, and enterprise UI patterns.
DevOps & IaC
* Strong proficiency with:
* Azure DevOps or GitHub Actions CI/CD.
* Docker, Kubernetes (AKS), Helm.
* Terraform or Bicep for infrastructure automation.
* Experience managing production roll-outs, blue-green deployments, and canary releases.
Real-Time & Scalable UI
* Knowledge of WebSockets/SSE, state management, and high-performance UI rendering.
Testing & Observability
* Experience with automated unit/E2E testing.
* Strong knowledge of logging, tracing, monitoring (App Insights, Log Analytics), and alerting.