AI Architect

VDart Inc; Town of Florida (NY); Remote; USD 180,000 - 210,000; Full time

Job summary

VDart Inc. is seeking a hands-on AI Architect to design, develop, and deploy an enterprise AI platform powered by Large Language Models (LLMs). The role combines strong software engineering with Generative AI, Agentic AI, and AWS cloud expertise to deliver scalable, secure, and production-ready AI applications.

This position requires involvement in solution architecture, coding, cloud deployment, performance optimization, and mentoring engineering teams to drive AI initiatives forward.

Qualifications

• Experience designing enterprise AI platforms with LLMs and cloud integration.
• Hands-on development in Python and modern AI frameworks.
• Strong background in scalable, secure cloud-native architectures.

Responsibilities

• Lead design and development of an enterprise AI platform using LLMs.
• Architect scalable AI solutions with Agentic AI and RAG patterns.
• Build intelligent AI agents with reasoning, tool calling, and memory management.
• Develop secure, scalable cloud-native apps on AWS and expose via REST APIs.
• Mentor engineers, drive CI/CD, and enforce coding best practices.
• Evaluate new LLMs/frameworks and guide platform improvements.
• Collaborate with product and engineering teams to translate requirements.

Skills

Generative AI

Agentic AI

AWS Cloud

Python

REST APIs

Microservices

Docker

Kubernetes

CI/CD

Tools

Terraform

AWS CDK

CloudFormation

LangChain

LangGraph

CrewAI

Microsoft Semantic Kernel

AutoGen

SageMaker

Job description

AI Architect Generative AI, LLMs & AWS

Location: West Palm Beach, FL (Remote)

Fulltime

Role Summary

We are looking for a hands‑on AI Architect to lead the design, development, enhancement, and deployment of an enterprise AI platform powered by Large Language Models (LLMs). The ideal candidate will combine strong software engineering skills with deep expertise in Generative AI, Agentic AI, and AWS cloud services to build scalable, secure, and production‑ready AI applications.

This role requires active involvement in solution architecture, coding, cloud deployment, performance optimization, and mentoring engineering teams.

Key Responsibilities

• Design, develop, and enhance an enterprise AI platform integrating multiple Large Language Models (LLMs).
• Architect and implement scalable AI solutions using modern Agentic AI frameworks and Retrieval‑Augmented Generation (RAG) architectures.
• Build intelligent AI agents capable of reasoning, planning, tool execution, and workflow orchestration.
• Develop secure, scalable, and highly available cloud‑native AI applications on AWS.
• Design and implement REST APIs and microservices to expose AI capabilities to enterprise applications.
• Integrate AI services with enterprise systems, databases, APIs, and third‑party platforms.
• Deploy, monitor, and optimize AI workloads on AWS ensuring performance, scalability, security, and cost efficiency.
• Work closely with product owners and engineering teams to translate business requirements into technical solutions.
• Drive architecture reviews, code quality, CI/CD automation, and engineering best practices.
• Evaluate emerging LLMs, AI frameworks, and cloud services to continuously improve the AI platform.
• Mentor developers and provide technical leadership across AI initiatives.

Required Technical Skills

Generative AI

• Strong hands‑on experience with OpenAI GPT, Anthropic Claude, Llama, Mistral, Amazon Nova, or similar foundation models.
• Experience building enterprise‑grade LLM applications.
• Expertise in Retrieval‑Augmented Generation (RAG).
• Prompt engineering, prompt optimization, embeddings, semantic search, and model evaluation.
• Experience integrating multiple LLM providers and managing model orchestration.

Agentic AI

Hands‑on experience with one or more of:

• LangChain
• LangGraph
• CrewAI
• Microsoft Semantic Kernel
• AutoGen
• Amazon Bedrock Agents

Experience developing:

• Multi‑agent workflows
• Tool calling
• Function calling
• Memory management
• Planning and reasoning agents

AWS Cloud

Strong hands‑on experience with:

• Amazon Bedrock
• Amazon SageMaker
• AWS Lambda
• ECS/EKS
• API Gateway
• Step Functions
• Amazon S3
• DynamoDB
• Amazon OpenSearch
• Amazon Aurora
• CloudWatch
• IAM
• VPC
• EventBridge
• Secrets Manager

Experience with Infrastructure as Code (Terraform, AWS CDK, or CloudFormation) is highly desirable.

Programming

• Python (mandatory)
• FastAPI / Flask
• REST APIs
• Microservices
• Docker
• Kubernetes
• Git
• CI/CD pipelines

Databases & Search

Experience with:

• PostgreSQL
• DynamoDB
• OpenSearch
• Pinecone
• Weaviate
• Chroma
• FAISS
• Milvus

Preferred Qualifications

• Experience building AI products from concept to production.
• Strong understanding of LLMOps, MLOps, observability, and AI monitoring.
• Experience implementing AI guardrails, responsible AI, and enterprise security controls.
• Familiarity with event‑driven and serverless architectures.
• Knowledge of authentication, authorization, and API security.