AI Modeler- W2 only

Location

Malvern, PA (Hybrid)

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
• 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
• 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

Responsibilities

We are looking for a visionary AI Engineer to lead the integration of advanced artificial intelligence into our flagship products. You will be at the forefront of innovation, designing proprietary AI tools, executing high-impact Proof of Concepts (POCs), and architecting the data structures necessary for robust AI/ML scaling.