AI Architect (Onsite - Tarrytown, NY)

Overview

On Site
$70
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Artificial Intelligence
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Microsoft Azure
Amazon Web Services
PyTorch
Python
Microservices
Deep Learning
HIPAA
Cloud Computing
Use Cases
Regulatory Compliance
Scalability
Systems Architecture
TensorFlow
Continuous Delivery
Collaboration

Job Details

AI Architect (Onsite - Tarrytown, NY)
We are looking to hire a candidate with the skills sets mentioned and experience for one of our clients within the pharmaceutical Industry. This is a onsite position (Tarrytown, NY)

Job Summary :

We are seeking a visionary and hands-on Machine Learning & Generative AI Architect to lead the design, development, and deployment of cutting-edge AI/ML and GenAI solutions in the healthcare and biotech domain. The ideal candidate will have deep expertise in transformer-based architecture, generative models (LLMs, GANs, Diffusion Models), and MLOps, with a strong understanding of regulatory compliance (e.g., HIPAA) and healthcare data systems.

Key Responsibilities:
 Generative AI & LLMs

  • Architect and implement transformer-based generative models tailored for biomedical data, optimizing training pipelines for domain-specific nuances.
  • Compare and evaluate generative models (GANs, VAEs, Diffusion Models) for synthetic medical image generation, selecting the most suitable based on use case.
  • Design scalable GenAI systems for generating synthetic patient records with built-in HIPAA compliance and data anonymization.
  • Fine-tune pre-trained LLMs for domain-specific applications such as drug discovery, clinical trial summarization, and medical literature analysis.
  • Develop strategies to mitigate hallucinations in LLMs, especially for clinical decision support systems.

System Architecture & Integration

  • Design GenAI-powered platforms that integrate seamlessly with existing EHR systems, supporting real-time inference and secure data exchange.
  • Define and implement APIs for GenAI services optimized for multi-cloud and hybrid environments, ensuring scalability and interoperability.
  • Ensure robust model versioning, traceability, and reproducibility in compliance with regulatory standards.

MLOps & Deployment

  • Lead the development of CI/CD pipelines and MLOps workflows for model training, evaluation, and deployment.
  • Collaborate with data scientists and engineers to optimize model performance using TensorFlow, PyTorch, and Hugging Face.
  • Manage cloud-native microservices using Python, FastAPI, and container orchestration tools (e.g., Kubernetes).

Required Skills & Qualifications:

  • Minimum of 10 years of experience in design, development, and deployment.
  • Strong foundation in AI/ML, deep learning, and GenAI architectures.
  • Hands-on experience with LLMs, RAG systems, LangChain, LangGraph, and vector databases.
  • Proficiency in Python, FastAPI, and cloud platforms (AWS, Azure, Google Cloud Platform).
  • Experience with MLOps tools and practices (MLflow, Kubeflow, CI/CD).
  • Deep understanding of healthcare data standards (FHIR, HL7) and compliance frameworks (HIPAA, GDPR).
  • Excellent communication and leadership skills.

Other Job Details:

  • Location: Tarrytown, NY
  • Duration: 1 year Minimum. High possibility of extension.
  • Pay Rate: $70/hr. W2 OR $80/hr. C2C.
  • Docs required: ID proof will be required.


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