Role: AI Architect
Location: USA _ Onsite
Contract 12 months
Only on W2
Please share the resume at
Role Overview
We are seeking a Senior Data Scientist / AI Engineer with strong expertise in Knowledge Graphs, Large Language Models (LLMs), and advanced Machine Learning. This role involves designing and deploying production-ready AI systems that solve complex business problems in data-rich environments.
Key Responsibilities
Design and develop advanced ML models (NLP, predictive modeling, optimization, statistical learning).
Build and deploy end-to-end MLOps pipelines (data ingestion, training, deployment, monitoring, CI/CD).
Develop and fine-tune LLMs for classification, summarization, RAG, and agent-based workflows.
Design and scale Knowledge Graph driven AI systems (ontology design, RDF/OWL, graph embeddings, reasoning).
Collaborate with engineering and product teams to deliver scalable AI solutions in production.
Required Skills
Master s or PhD in Computer Science, AI, ML, Data Science, or related field.
Strong hands-on experience in:
Machine Learning & Statistics (supervised/unsupervised learning, optimization)
NLP (semantic search, embeddings, text modeling)
LLMs & Transformers (fine-tuning, RAG, prompt engineering)
Knowledge Graphs (RDF, OWL, SPARQL, Neo4j, graph ML)
MLOps (MLflow, Kubeflow, Airflow, Docker, CI/CD)
Proficiency in Python
Experience with PyTorch or TensorFlow
Hands-on with HuggingFace, LangChain
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
Preferred
Healthcare Insurance / Managed Care (MCO) domain experience
Experience with vector databases (Pinecone, Weaviate, FAISS)
Knowledge of hybrid semantic-neural architectures
Experience with explainable or responsible AI systems
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