AI/ML Tech Architect

ClinDCast•Oakland, AL
•Hybrid

About The Position

We are seeking a highly experienced AI/ML Tech Lead/Architect to design and lead enterprise AI/ML solutions across cloud and data platforms. The healthcare Industry is on the brink of a paradigm shift where patients are increasingly being viewed as empowered consumers, utilizing digital technologies to better understand and manage their own health. As a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience. ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.

Requirements

  • 15+ years experience in AI/ML, Data Engineering, or Cloud Architecture
  • Hands-on with AWS AI/ML services: SageMaker, Bedrock, Glue, Redshift, Kinesis, Lambda, Lake Formation
  • Proficient in Python, SQL & ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with IaC: AWS CDK, Terraform, CloudFormation
  • Deep understanding of ML algorithms, LLMs, embeddings, vector search, & model optimization
  • Proven experience building production-grade MLOps pipelines
  • Excellent communication with technical & executive stakeholders

Nice To Haves

  • AWS Certifications (ML Specialty, Solutions Architect Professional)
  • Experience with Generative AI, LLM fine-tuning, RAG architectures
  • Industry-specific AI experience: Finance, Healthcare, Retail, Manufacturing

Responsibilities

  • Design and lead enterprise AI/ML solutions across cloud and data platforms
  • Code review
  • Mentoring
  • Enforcing standards
  • Consulting
  • Customer advisory
  • Enterprise architecture
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