Quick Overview
Work Type
On Site
Level
Mid Senior
Job Description
Role: AI Architect
Location: Oaks, PA (Hybrid-3 days onsite)
Full-time
Required Qualifications
- Experience with Financial services, Wealth management is preferred to have.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
- 10+ years of experience in data science, machine learning, or advanced analytics
- 5+ years in a leadership or people-management role overseeing AI/ML teams
- Strong hands-on experience with ML models, statistical methods, and AI frameworks
- Experience deploying AI solutions in production environments at scale
- Hands on RAG experience: embeddings, retrieval strategies, chunking, metadata/routing, evals, and guardrails.
- Open source frameworks: strong with LangChain (or similar), plus experience with FastAPI/Flask and async patterns.
- Azure: practical experience with Azure OpenAI/Models, Azure AI Search, Azure ML, AKS/Container Apps, Key Vault, App Insights/Log Analytics, and Hybrid Private Networking.
- Terraform: modules, CI/CD integration, and handling nested data structures.
- MLOps/DevOps: Docker/Kubernetes, CI/CD (Gitlab or Azure DevOps), secrets management, and automated testing.
- Solid understanding of LLMs (prompting, function/tool calling, structured outputs, rate limiting, token/cost management).
- Proficiency with Python, SQL, and modern data/ML platforms (cloud-based preferred)
- Strong understanding of data governance, model risk management, and responsible AI practices
- Excellent communication skills with the ability to translate complex AI concepts for non-technical audiences
Best Regards,
Saif Ahmad
Senior Recruiter IT Staffing USA
VBeyond Corporation |
Skills
Docker
FastAPI
Flask
SQL
MLOps
Machine Learning
Azure
Kubernetes
Python
Terraform
Vault
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