Home › Companies › Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 › AI Solution Architect
AI Solution Architect
Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 · United States; Exl - Texas · On Site · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Title | AI Solution Architect |
| Normalized title | - |
| Department / team | Advanced AI & ML |
| Location | United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-04-28 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Advanced AI & ML. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Source | 907773df-d032-42dc-b60a-978734f5ac21 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
We are seeking a seasoned AI Solution Architect to design and lead end‑to‑end AI solutions for healthcare clients. This role requires a strong blend of AI/ML & GenAI architecture , healthcare domain knowledge , and client‑facing solutioning experience . The architect will work closely with business stakeholders, data science teams, engineering, and compliance to deliver scalable, secure, and compliant AI solutions that drive measurable business outcomes.
Responsibilities
Design end‑to‑end AI / GenAI solution architectures covering data ingestion, feature engineering, model development, deployment, and monitoring. Lead solutioning for healthcare use cases such as: Prior Authorization & Utilization Management Claims processing & Payment Integrity Care Management & Population Health Clinical document processing and summarization Provider & member analytics Architect agentic AI and RAG‑based solutions using LLMs for unstructured healthcare data (clinical notes, policies, contracts, medical records). Translate business problems into AI‑driven architectures , ensuring alignment with ROI, scalability, and regulatory requirements. Define reference architectures , NFRs, and technology standards for AI platforms. Collaborate with data science teams on: Model selection and evaluation Prompt engineering and orchestration strategies Human‑in‑the‑loop (HITL) workflows Ensure solutions comply with HIPAA, PHI/PII, security, governance, and AI risk frameworks . Provide technical leadership during pre‑sales, client workshops, proposals, and solution walkthroughs . Mentor engineers and junior architects; review designs and ensure architectural best practices. Stay current with emerging trends in GenAI, agentic workflows, healthcare AI regulations, and cloud AI services .
Qualifications
Core Technical Skills
Strong foundation in AI/ML, Deep Learning, and GenAI architectures Hands‑on experience with LLMs, RAG pipelines, vector databases, and AI agents Experience with unstructured data processing (NLP, OCR, Intelligent Document Processing) Solid understanding of data engineering & analytics stacks
(Data lakes, data warehouses, ETL/ELT pipelines) Proficiency with cloud platforms (AWS / Azure / GCP) and AI services Experience with microservices, APIs, containerization (Docker/Kubernetes) Healthcare Domain Expertise(Preferred)
Knowledge of payer and provider workflows Exposure to regulatory and compliance requirements in healthcare Proven experience delivering AI solutions in healthcare operations or clinical workflows
Full job record
| Job ID | cddaaafb154ebc6ca3673b8363ea5ce22a7a286a |
| Org ID | 3ea3b397-9a23-408a-8421-50fd1d902746 |
| Source ID | 907773df-d032-42dc-b60a-978734f5ac21 |
| Board ID | 907773df-d032-42dc-b60a-978734f5ac21 |
| Provider | oracle_hcm |
| Provider Job Key | 12726 |
| Title | AI Solution Architect |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | United States; Exl - Texas |
| Department | Advanced AI & ML |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | Description We are seeking a seasoned AI Solution Architect to design and lead end‑to‑end AI solutions for healthcare clients. This role requires a strong blend of AI/ML & GenAI architecture , healthcare domain knowledge , and client‑facing solutioning experience . The architect will work closely with business stakeholders, data science teams, engineering, and compliance to deliver scalable, secure, and compliant AI solutions that drive measurable business outcomes. Responsibilities Design end‑to‑end AI / GenAI solution architectures covering data ingestion, feature engineering, model development, deployment, and monitoring. Lead solutioning for healthcare use cases such as: Prior Authorization & Utilization Management Claims processing & Payment Integrity Care Management & Population Health Clinical document processing and summarization Provider & member analytics Architect agentic AI and RAG‑based solutions using LLMs for unstructured healthcare data (clinical notes, policies, contracts, medical records). Translate business problems into AI‑driven architectures , ensuring alignment with ROI, scalability, and regulatory requirements. Define reference architectures , NFRs, and technology standards for AI platforms. Collaborate with data science teams on: Model selection and evaluation Prompt engineering and orchestration strategies Human‑in‑the‑loop (HITL) workflows Ensure solutions comply with HIPAA, PHI/PII, security, governance, and AI risk frameworks . Provide technical leadership during pre‑sales, client workshops, proposals, and solution walkthroughs . Mentor engineers and junior architects; review designs and ensure architectural best practices. Stay current with emerging trends in GenAI, agentic workflows, healthcare AI regulations, and cloud AI services . Qualifications Core Technical Skills Strong foundation in AI/ML, Deep Learning, and GenAI architectures Hands‑on experience with LLMs, RAG pipelines, vector databases, and AI agents Experience with unstructured data processing (NLP, OCR, Intelligent Document Processing) Solid understanding of data engineering & analytics stacks (Data lakes, data warehouses, ETL/ELT pipelines) Proficiency with cloud platforms (AWS / Azure / GCP) and AI services Experience with microservices, APIs, containerization (Docker/Kubernetes) Healthcare Domain Expertise(Preferred) Knowledge of payer and provider workflows Exposure to regulatory and compliance requirements in healthcare Proven experience delivering AI solutions in healthcare operations or clinical workflows |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12726 |
| Apply URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12726 |
| First Seen At | 2026-05-31 18:05:11Z |
| Last Seen At | 2026-06-06 11:44:11Z |
| Last Checked At | 2026-06-06 11:44:11Z |
| Last Changed At | 2026-05-31 18:05:11Z |
| Inactive At | — |
| Source Posted At | 2026-04-28 23:36:07Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com|cx_2/date=2026-06-06/2026-06-06T11-42-28-116Z-9f6f0c60410cbd3bee6b0a060a8e65cb535d3b1d1066f0984f31827798e22ea6.json |
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