Ritwik Infotech

9 jobs near Columbus, OH

AI Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

Role : AI Architect with Healthcare Background Location: Atlanta,GA Duration: contract Job Summary We are seeking an experienced AI Architect with a strong healthcare background to design, develop ...

Senior ORMB Developer

Atlanta, GA · On-site

$52.50 - $69.25/hr

Title : Senior ORMB Developer Location : Atlanta, GA(Onsite) Technical Know-How: ORMB/ CC&B / C2M / Oracle MDM, Java, SQL Good understanding of the following Oracle modules and functions : (Order ...

Pega developer

Atlanta, GA · On-site

$54 - $71/hr

Pega developer. Atlanta, GA(Onsite) Contract (C2C) Design & Develop Pega Applications Healthcare Billing Domain is a must Analyze business requirements, create technical designs, workflows, UI, case ...

New

AWS Devops Architect

Atlanta, GA · On-site

$62.25 - $81.75/hr

Title : AWS Devops Architect Location: Atlanta, GA or Grand Prairie, TX office(Onsite) Need 15+ years of experience Skills: Kubernetes, Docker, Angular/NodeJS, AWS, Unix/Linux, Python, Blue Green ...

$60.50 - $79.75/hr

Other

Posted 7 days ago


Job description

Role:AI Architect with Healthcare Background
Location: Atlanta,GA
Duration: contract
Job Summary
We are seeking an experienced AI Architect with a strong healthcare background to design, develop, and implement enterprise-grade AI and Machine Learning solutions that improve clinical, operational, and business outcomes. The ideal candidate will have expertise in AI/ML technologies, cloud platforms, healthcare interoperability standards, and regulatory compliance, with experience delivering AI solutions in healthcare environments. Key Responsibilities
  • Design and implement scalable AI/ML architectures for healthcare applications.
  • Collaborate with clinical, business, and IT stakeholders to identify AI use cases and solution strategies.
  • Develop AI-powered solutions for clinical decision support, predictive analytics, medical imaging, patient engagement, and operational efficiency.
  • Build and deploy Generative AI, NLP, and Large Language Model (LLM) solutions for healthcare workflows.
  • Design data pipelines for structured and unstructured healthcare data.
  • Integrate AI solutions with EHR/EMR systems and healthcare applications.
  • Ensure AI solutions comply with healthcare security, privacy, and regulatory standards.
  • Establish MLOps processes for model deployment, monitoring, governance, and lifecycle management.
  • Evaluate emerging AI technologies and recommend best practices.
  • Lead architecture reviews, proof-of-concepts, and enterprise AI initiatives.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Healthcare Informatics, or a related field.
  • 8+ years of experience in software engineering, AI/ML, cloud architecture, or solution architecture.
  • 3+ years of experience architecting AI solutions within the healthcare industry.
  • Strong knowledge of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI.
  • Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agents.
  • Hands-on experience with Python, SQL, and AI frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, or similar.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience deploying AI solutions using Kubernetes, Docker, and MLOps tools.
Healthcare Domain Expertise
  • Experience working with Electronic Health Records (EHR/EMR) systems such as Epic, Cerner, or Meditech.
  • Strong understanding of healthcare interoperability standards including HL7, FHIR, CDA, and DICOM.
  • Knowledge of healthcare regulations including HIPAA, HITECH, and data privacy/security best practices.
  • Experience with clinical data, claims data, population health, or value-based care initiatives.
Preferred Skills
  • Experience with Azure OpenAI, OpenAI APIs, Google Vertex AI, or Amazon Bedrock.
  • Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or Milvus.
  • Experience with data engineering platforms such as Databricks, Snowflake, Spark, or Kafka.
  • Familiarity with DevOps, CI/CD, Infrastructure as Code (Terraform), and monitoring tools.
  • Strong communication, leadership, and stakeholder management skills.
Preferred Certifications
  • AWS Certified Solutions Architect
  • Microsoft Azure AI Engineer Associate
  • Google Professional Machine Learning Engineer
  • Healthcare-related certifications (preferred)
Desired Experience
  • 10+ years of IT experience with 5+ years in AI architecture.
  • Proven experience leading enterprise AI transformation initiatives in healthcare.
  • Experience delivering scalable, secure, and compliant AI platforms for hospitals, health systems, payers, or life sciences organizations.