AI Modeler/ Engineer

Zuven technologies Inc; Malvern (Chester County); On-site; USD 150,000 - 200,000; Full time

Job summary

Zuven Technologies Inc is seeking an experienced AI Architect to define standards for AI-ready data curation and drive the integration of AI into core business logic across Service Experience and Financials.

The role requires designing semantic layers, knowledge graphs, and scalable AI systems on AWS, with strong Python and distributed systems expertise. Collaboration with data science and engineering teams is essential.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Software Engineering, or related field.
• 8+ years of software engineering experience.
• 3+ years hands-on AI/ML engineering experience.
• Advanced Python programming skills.
• Strong experience building production-grade AI applications.
• Experience with Generative AI and Large Language Models.
• Experience designing Retrieval-Augmented Generation (RAG) architectures.
• Knowledge of vector databases and embedding models.
• Experience deploying AI solutions on AWS cloud platforms.
• Experience with CI/CD pipelines and DevOps practices.

Responsibilities

• Define the standards for 'AI-ready' data curation and data governance.
• Direct the integration of AI methodologies into existing business logic for Service Experience and Financials.
• Architect semantic layers and knowledge graphs to support AI initiatives.
• Lead cross-functional collaboration with engineering, data science, and product teams.

Skills

AI/ML design

Semantic layers

Knowledge graphs

Python

Distributed systems

CI/CD

AWS

GitHub Actions

Education

Bachelor’s or Master’s in CS/AI/DS/SE

Tools

Databricks

Kubernetes

Docker

AWS Cloud

Job description

Technical Stack & Requirements:

• AI/ML Stack: Amazon SageMaker, AWS Bedrock.
• Design Focus: Vector databases, knowledge graphs, and semantic layers.
• Databricks: Experience with Databricks and Databricks Genie is highly desirable.
• Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI methodologies into existing Service Experience and Financials business logic.

Qualifications:

• 6-8+ years of experience.
• Strong background in AI/ML design and implementation.
• Ability to architect semantic layers and knowledge graphs.
• Experience with GitHub Actions for managing codebases.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• 8+ years of software engineering experience.
• 3+ years of hands-on AI/ML engineering experience.
• Advanced Python programming skills.
• Strong experience building production-grade AI applications.
• Experience with Generative AI and Large Language Models.
• Experience designing Retrieval-Augmented Generation (RAG) architectures.
• Knowledge of vector databases and embedding models.
• Experience deploying AI solutions on AWS cloud platforms.
• Experience with CI/CD pipelines and DevOps practices.
• Strong understanding of distributed systems and scalable backend architectures.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience with Agentic AI frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel).
• Experience with AWS Bedrock, Amazon SageMaker, Azure OpenAI, or Vertex AI.
• Experience implementing Responsible AI frameworks.
• Financial services, fintech, or investment management domain experience.
• Experience building recommendation engines, intelligent assistants, or AI copilots.
• Knowledge of Kubernetes, Docker, and cloud-native microservices.
• AWS AI/ML certifications or equivalent.

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No