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AI Solutions Architect

Richmond, VA, US • Posted 19 hours ago • Updated 19 hours ago

Contract W2

12 Months

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

API
Collaboration
Computer Vision
Databricks
Deep Learning
Amazon Web Services
Artificial Intelligence
Generative Artificial Intelligence (AI)
Cloud Computing
Docker
Innovation
Enterprise Architecture
Google Cloud
Google Cloud Platform
Kubernetes
LangChain
PyTorch
Python
Microsoft Azure
Natural Language Processing
Optimization
Machine Learning Operations (ML Ops)
Management
Mentorship
Large Language Models (LLMs)
Snow Flake Schema
Stakeholder Management
Leadership
Vertex
Machine Learning (ML)
Regulatory Compliance
Vector Databases

Summary

AI Solutions Architect (W2 Only | Onsite)

Job Title: AI Solutions Architect

💼 Employment Type: W2 Only
🏢 Work Model: Onsite

Job Summary

We are seeking an experienced AI Solutions Architect to lead the design and implementation of enterprise AI and Generative AI solutions. The ideal candidate will have deep expertise in Machine Learning, Large Language Models (LLMs), cloud platforms, and AI architecture while guiding development teams in delivering scalable, secure, and production-ready AI applications.

Required Qualifications

15+ years of overall IT experience.
5+ years of experience designing AI/ML solutions.
Strong experience with Python.
Hands-on experience with Generative AI and Large Language Models (LLMs).
Experience with Retrieval-Augmented Generation (RAG).
Experience with LangChain and/or LangGraph.
Experience with OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
Strong knowledge of vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.
Experience deploying AI applications using Docker and Kubernetes.
Cloud experience with AWS, Azure, or Google Cloud Platform.
Experience with MLOps tools and AI deployment pipelines.
Strong understanding of API integration and enterprise architecture.

Preferred Skills

TensorFlow or PyTorch.
Hugging Face Transformers.
NLP, Deep Learning, and Computer Vision.
Databricks or Snowflake.
Experience with AI governance, security, and Responsible AI.
Strong leadership and stakeholder management skills.

Responsibilities

Design enterprise AI and Generative AI architectures.
Build scalable AI solutions using LLMs and RAG frameworks.
Define AI architecture standards and best practices.
Lead technical discussions and mentor engineering teams.
Collaborate with business leaders to identify AI opportunities.
Oversee AI model deployment, monitoring, and optimization.
Ensure security, compliance, and governance of AI solutions.
Drive innovation and adoption of modern AI technologies.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10477291
Position Id: 9011472
Posted 19 hours ago

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