What are the responsibilities and job description for the Gen AI Architect position at Galent?
Job Title: Gen AI Architect
Location: Jersey City, NJ (Hybrid)
Job Type: Full time
Experience:
Extensive years of experience in ML/Engineering
Preference from Finance industry.
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.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf