DATA INDICATORS

63 jobs near Columbus, OH

AI Architect

Dublin, OH · Remote

$64.50 - $85/hr

Partner with data, cloud, security, clinical, research, and application teams to move AI solutions into production. * Ensure AI solutions meet requirements for security, privacy, governance ...

New

AI Architect

Dublin, OH · Remote

$64.50 - $85/hr

Partner with data, cloud, security, clinical, research, and application teams to move AI solutions into production. * Ensure AI solutions meet requirements for security, privacy, governance ...

New

AI Architect

Dublin, OH · Remote

$64.50 - $85/hr

Partner with data, cloud, security, clinical, research, and application teams to move AI solutions into production. * Ensure AI solutions meet requirements for security, privacy, governance ...

New

Cloud Data Engineer (50576)

Atlanta, GA · On-site

$112K - $134K/yr

Data products include data collections, storage, reports, dashboards, metadata collection, analytics (including artificial intelligence [AI]/machine learning [ML]), public use data, indicators ...

Front-End Developer

Kalamazoo, MI · On-site

$140K - $175K/yr

... data indicators and triggers. • AI-powered features: summarization views, insight surfacing, and interfaces that consume outputs from our AI/RPA layer. • Team Member Expectations: • Must be ...

Apply data tags and classifications (e.g., data type, sensitivity level, personal data indicators) in alignment with established privacy and data governance standards. • Stakeholder Collaboration:

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AI Architect

DATA INDICATORS LLC

Dublin, OH • Remote

$64.50 - $85/hr

Full-time

Posted 2 days ago

New


Job description

AI ArchitectWe are seeking a senior AI Architect to lead the design and development of enterprise AI capabilities across a healthcare and cancer research organization. This role will define the architecture, standards, and roadmap for Generative AI, machine learning, enterprise search, RAG, AI assistants, and agentic AI.
Key Responsibilities
  • Define enterprise AI architecture, standards, reference designs, and technology roadmap.
  • Architect Generative AI, LLM, RAG, semantic/vector search, AI assistant, and agentic AI solutions.
  • Design secure integrations between AI platforms, enterprise applications, APIs, knowledge repositories, and data platforms.
  • Establish reusable AI services, model-selection patterns, guardrails, evaluation, monitoring, and human-in-the-loop controls.
  • Define standards for MLOps/LLMOps, deployment, model lifecycle management, and monitoring.
  • Partner with data, cloud, security, clinical, research, and application teams to move AI solutions into production.
  • Ensure AI solutions meet requirements for security, privacy, governance, auditability, and responsible AI.
  • Provide technical leadership and communicate architecture, risks, and technology decisions to senior stakeholders.
Required Skills
  • 10+ years in enterprise architecture, solution architecture, data/cloud architecture, software engineering, AI/ML, or related disciplines.
  • Strong enterprise architecture experience with Generative AI and LLM-based platforms.
  • Strong knowledge of:
    • LLMs and Generative AI
    • RAG and enterprise search
    • Embeddings and vector databases
    • AI agents / agentic workflows
    • APIs and enterprise integrations
    • Cloud AI platforms
    • MLOps / LLMOps
  • Strong understanding of modern data architecture, cloud platforms, APIs, containers/Kubernetes, and distributed systems.
  • Experience designing solutions involving sensitive or regulated data.
  • Knowledge of AI security, privacy, governance, model risk, and responsible AI.
  • Strong technical leadership and executive communication skills.
Preferred
  • Experience with Glean or similar enterprise AI search / knowledge-management platforms.
  • Healthcare, life sciences, cancer research, pharmaceutical, or other regulated-industry experience.
  • Familiarity with FHIR, HL7, DICOM, Epic, or clinical/research data environments.
  • Experience with Azure, AWS, or Google Cloud AI platforms.
  • Experience with enterprise RAG platforms, vector databases, knowledge graphs, model gateways, or agent frameworks.
Ideal Candidate
A senior architect who combines enterprise architecture leadership with hands-on technical depth in GenAI, RAG, LLMs, agents, cloud/data architecture, and AI governance.