GenAI Architect

Veridian Tech Solutions, Inc.; Exton (PA); Hybrid; USD 150,000 - 180,000; Full time

Job summary

Veridian Tech Solutions, Inc. is seeking a Principal Engineer - Technology Architect specializing in Generative AI solutions. The role involves leading architecture and technical design, focusing on cloud-native systems using Azure and AWS.

With 13-15 years of experience, candidates should excel in solution architecture, full-stack engineering, and deployment of GenAI applications. The position offers a hybrid work environment in Exton, PA.

Qualifications

• 10+ years in solution architecture and full‑stack engineering.
• Strong hands‑on experience with Azure and/or AWS cloud services.
• Expertise in containers, Kubernetes, and cloud‑native application patterns.

Responsibilities

• Lead architecture and technical design for GenAI solutions.
• Build cloud native systems using Azure, AWS, and Kubernetes.
• Architect and guide development of LLM/RAG pipelines.

Skills

Solution architecture

Full-stack engineering

Cloud services (Azure/AWS)

Containers

Kubernetes

Generative AI design

API development

Event-driven architecture

Python

Node.js

Java

Job description

Role: Principal Engineer - Technology Architect - Generative AI

Duration: Long Term

Location: Exton, PA

Arrangements: Hybrid 3 days office - Exton, Pennsylvania

Experience: 13-15 Years

Job Description

Key Responsibilities

• Lead architecture and technical design for GenAI solutions across the enterprise.
• Build cloud native systems using Azure, AWS, Kubernetes/AKS/EKS, containers, and microservices patterns.
• Architect and guide development of LLM/RAG pipelines, embeddings, vector/hybrid search, and metadata processing.
• Support delivery of GenAI enabled applications.
• Partner with cross‑functional teams to align on architecture, integration patterns, and standards.
• Provide hands‑on oversight across DevOps, APIs, connectors, and pipeline execution.
• Ensure designs meet enterprise security, governance, and operational requirements.

Required Experience

• 10+ years in solution architecture and full‑stack engineering.
• Strong hands‑on experience with Azure and/or AWS cloud services.
• Expertise in containers, Kubernetes, and cloud‑native application patterns.
• Practical experience designing Generative AI solutions using LLMs, RAG, embeddings, chunking, and search technologies.
• Proficiency in Python, Node.js, or Java, API development, and event‑driven architecture.
• Familiarity with integrations such as SharePoint/Blob connectors, Azure Search, metadata pipelines, and enterprise systems.

Preferred Experience

• Experience delivering enterprise AI chatbots and multi‑use case GenAI platforms.
• Knowledge of AI governance, security, and responsible AI practices.