Home › Companies › Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 › Senior Assistant Vice President
Senior Assistant Vice President
Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 · United States; US New Jersey (JCO) C79 · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Title | Senior Assistant Vice President |
| Normalized title | - |
| Department / team | Data Analytics |
| Location | United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-22 / 2026-06-23 |
| Changed / last seen | 2026-06-23 / 2026-06-23 |
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 Data Analytics. | Open |
| Work model jobs | Active Hybrid 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
Background
We are looking for a Staff Generative AI Engineer to design, build, and ship production-grade Generative AI and Agentic AI applications that delivery business value across the organization. This role is focused on building AI applications and services at scale. You will be responsible for building robust, secure, and highly scalable systems that integrate with leading cloud-based AI services.
As a senior individual contributor, you will bring deep technical expertise, drive high-quality engineering practices, and serve as a mentor for junior to mid-level engineers. You will work closely with software engineers, data scientists, and product teams to translate business problems into production-grade AI applications and services.
Responsibilities
Key Responsibilities Application and Solution Engineering
Design, build, and ship production-grade Generative and Agentic AI applications and services for internal and external users
Develop high-quality backend services in Python, with strong software engineering rigor around testing, performance, and maintainability
Champion reusability and abstraction in everything you build by designing and building modular, well-abstracted components and libraries
Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK
Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock
Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking
Build clean, well-tested RESTful and/or gRPC APIs with a strong focus on reliability, security, and performance
Implement observability, tracing, evaluation, guardrails for Generative and Agentic AI applications
Deploy and operate services on major cloud providers (e.g., GCP, AWS, and Azure) leveraging managed services
Contribute to platform architecture decisions and engineering best practices
Take applications from prototype through production deployment, hardening, and ongoing operation
Qualifications
Mentorship and Team Development
Mentor and coach junior and mid-level engineers through code reviews, architecture discussions, and pair programming
Foster a culture of engineering excellence, knowledge sharing, and continuous improvement
Participate in technical design reviews and contribute to the professional growth of team members
Required Qualifications
10-15 years of professional software engineering experience with at least 3-5 years of experience building AI/ML software products
Bachelor’s degree in Computer Science or a related field (Master’s degree preferred)
Strong proficiency in Python, with deep software engineering fundamentals (abstraction, modularity, system design, testing, performance)
Hands-on experience building and shipping Generative and Agentic AI applications, including LLM integration, prompt engineering, and/or agentic workflows
Practical experience integrating cloud-hosted LLM APIs such as Azure OpenAI, Vertex AI, and/or AWS Bedrock
Experience with agent frameworks (e.g., LangChain, LangGraph, Google ADK, Claude Agent SDK) and vector databases (e.g., Pinecone, Weaviate, pgvector, Open Search, AlloyDB)
Hands-on experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), or Azure
Strong understanding of API design, distributed systems, and cloud-native architecture
Proven track record of taking systems from design through production deployment and operation
Preferred Qualifications
Experience with containerization and orchestration (Docker, Kubernetes)
Knowledge of Generative AI Risk Management frameworks (NIST RFM)
Experience supporting developer platforms or internal tooling
Experience writing design documents or helping define engineering standards
Full job record
| Job ID | 1fb8df06cbcafb2c2a3113a2a8fed31e27927daf |
| 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 | 15867 |
| Title | Senior Assistant Vice President |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | United States; US New Jersey (JCO) C79 |
| Department | Data Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | Description Background We are looking for a Staff Generative AI Engineer to design, build, and ship production-grade Generative AI and Agentic AI applications that delivery business value across the organization. This role is focused on building AI applications and services at scale. You will be responsible for building robust, secure, and highly scalable systems that integrate with leading cloud-based AI services. As a senior individual contributor, you will bring deep technical expertise, drive high-quality engineering practices, and serve as a mentor for junior to mid-level engineers. You will work closely with software engineers, data scientists, and product teams to translate business problems into production-grade AI applications and services. Responsibilities Key Responsibilities Application and Solution Engineering Design, build, and ship production-grade Generative and Agentic AI applications and services for internal and external users Develop high-quality backend services in Python, with strong software engineering rigor around testing, performance, and maintainability Champion reusability and abstraction in everything you build by designing and building modular, well-abstracted components and libraries Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking Build clean, well-tested RESTful and/or gRPC APIs with a strong focus on reliability, security, and performance Implement observability, tracing, evaluation, guardrails for Generative and Agentic AI applications Deploy and operate services on major cloud providers (e.g., GCP, AWS, and Azure) leveraging managed services Contribute to platform architecture decisions and engineering best practices Take applications from prototype through production deployment, hardening, and ongoing operation Qualifications Mentorship and Team Development Mentor and coach junior and mid-level engineers through code reviews, architecture discussions, and pair programming Foster a culture of engineering excellence, knowledge sharing, and continuous improvement Participate in technical design reviews and contribute to the professional growth of team members Required Qualifications 10-15 years of professional software engineering experience with at least 3-5 years of experience building AI/ML software products Bachelor’s degree in Computer Science or a related field (Master’s degree preferred) Strong proficiency in Python, with deep software engineering fundamentals (abstraction, modularity, system design, testing, performance) Hands-on experience building and shipping Generative and Agentic AI applications, including LLM integration, prompt engineering, and/or agentic workflows Practical experience integrating cloud-hosted LLM APIs such as Azure OpenAI, Vertex AI, and/or AWS Bedrock Experience with agent frameworks (e.g., LangChain, LangGraph, Google ADK, Claude Agent SDK) and vector databases (e.g., Pinecone, Weaviate, pgvector, Open Search, AlloyDB) Hands-on experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), or Azure Strong understanding of API design, distributed systems, and cloud-native architecture Proven track record of taking systems from design through production deployment and operation Preferred Qualifications Experience with containerization and orchestration (Docker, Kubernetes) Knowledge of Generative AI Risk Management frameworks (NIST RFM) Experience supporting developer platforms or internal tooling Experience writing design documents or helping define engineering standards |
| 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/15867 |
| Apply URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/15867 |
| First Seen At | 2026-06-23 11:32:31Z |
| Last Seen At | 2026-06-23 11:32:31Z |
| Last Checked At | 2026-06-23 11:32:31Z |
| Last Changed At | 2026-06-23 11:32:31Z |
| Inactive At | — |
| Source Posted At | 2026-06-22 15:39:57Z |
| 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=2026-06-23/2026-06-23T11-30-40-357Z-106e949419079a6adb278c0eb778a1d909cace2d318b9ccc10423d5ab70d565e.json |
Event Fields
{
"content_hash": "2838ab77f4ff4a7b37e07ba8146bbd928c3f23a18ed90c21e3f3213cf4d8bc46",
"source_hash": "a83f8e9ffa4707ba105ab702d46ade1d562ae5b78b9201a42b8128c38ce7fa0b",
"last_changed_at": "2026-06-23T11:32:31.497Z",
"active_status": "active"
}Parsed Structured
{
"dedupe": null,
"language": "en",
"location": {
"raw": "United States",
"city": null,
"region": null,
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-23T11:32:30.826Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "United States",
"city": null,
"region": null,
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": "hybrid",
"salary_period": null,
"workplace_type": "hybrid",
"salary_currency": null
}Extensions
{}Native Structured
{
"detail": {
"Id": "15867",
"Title": "Senior Assistant Vice President",
"media": [],
"skills": [
{
"Skill": "Attention To Consistency",
"SkillId": "300003950544752",
"SectionId": "300000135879451",
"SkillType": "SOFT_SKILL",
"SectionName": "Skill",
"ContentItemId": null
},
{
"Skill": "Cloud Database Solutions",
"SkillId": "300003950544753",
"SectionId": "300000135879451",
"SkillType": "HARD_SKILL",
"SectionName": "Skill",
"ContentItemId": null
},
{
"Skill": "Data Modeling",
"SkillId": "300003950544754",
"SectionId": "300000135879451",
"SkillType": "HARD_SKILL",
"SectionName": "Skill",
"ContentItemId": null
},
{
"Skill": "Internal Communications",
"SkillId": "300003950544755",
"SectionId": "300000135879451",
"SkillType": "SOFT_SKILL",
"SectionName": "Skill",
"ContentItemId": null
},
{
"Skill": "Interpersonal Relationship Building",
"SkillId": "300003950544756",
"SectionId": "300000135879451",
"SkillType": "SOFT_SKILL",
"SectionName": "Skill",
"ContentItemId": null
},
{
"Skill": "Leadership Capabilities",
"SkillId": "300003950544757",
"SectionId": "300000135879451",
"SkillType": "SOFT_SKILL",
"SectionName": "Skill",
"ContentItemId": null
},
{
"Skill": "Machine Learning Libraries",
"SkillId": "300003950544758",
"SectionId": "300000135879451",
"SkillType": "HARD_SKILL",
"SectionName": "Skill",
"ContentItemId": null
},
{
"Skill": "Statistical Software Development",
"SkillId": "300003950544759",
"SectionId": "300000135879451",
"SkillType": "HARD_SKILL",
"SectionName": "Skill",
"ContentItemId": null
},
{
"Skill": "Strategic Planning",
"SkillId": "300003950544760",
"SectionId": "300000135879451",
"SkillType": "HARD_SKILL",
"SectionName": "Skill",
"ContentItemId": null
},
{
"Skill": "Warehouse Design",
"SkillId": "300003950544761",
"SectionId": "300000135879451",
"SkillType": "HARD_SKILL",
"SectionName": "Skill",
"ContentItemId": null
},
{
"Skill": "Working under Pressure",
"SkillId": "300003950544762",
"SectionId": "300000135879451",
"SkillType": "SOFT_SKILL",
"SectionName": "Skill",
"ContentItemId": null
}
],
"JobType": null,
"Category": "Data Analytics",
"JobGrade": null,
"JobLevel": null,
"JobShift": null,
"WorkDays": null,
"WorkHours": null,
"WorkYears": null,
"Department": null,
"HotJobFlag": false,
"StudyLevel": "Bachelor's Degree",
"WorkMonths": null,
"WorkerType": null,
"GeographyId": 300000000467584,
"JobFamilyId": 300001172146126,
"JobFunction": "Business Analytics",
"JobSchedule": "Full time",
"BusinessUnit": null,
"ContractType": null,
"Organization": null,
"TrendingFlag": false,
"workLocation": [
{
"Country": null,
"Region1": null,
"Region2": null,
"Region3": null,
"Building": null,
"Latitude": "40.72053",
"Longitude": "-74.04624",
"LocationId": 300000002980557,
"PostalCode": null,
"TownOrCity": null,
"AddressLine1": null,
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "US New Jersey (JCO) C79"
}
],
"ContentLocale": "en",
"HiringManager": null,
"LegalEmployer": null,
"RequisitionId": 300003950544748,
"WorkplaceType": "Hybrid",
"BusinessUnitId": 300000002965433,
"OrganizationId": 300000002988873,
"GeographyNodeId": 300001186829838,
"JobFunctionCode": "EXL_JFN_2002818629",
"LegalEmployerId": 300000002988873,
"PrimaryLocation": "United States",
"RequisitionType": "Professional",
"NumberOfOpenings": null,
"WorkplaceTypeCode": "ORA_HYBRID",
"BeFirstToApplyFlag": true,
"otherWorkLocations": [],
"secondaryLocations": [],
"ExternalContactName": null,
"ShortDescriptionStr": "AI Engagement Lead.",
"ExternalContactEmail": null,
"ExternalPostedEndDate": null,
"OtherRequisitionTitle": null,
"requisitionFlexFields": [],
"ApplyWhenNotPostedFlag": false,
"DomesticTravelRequired": null,
"ExternalDescriptionStr": "<strong>Background</strong>\n<p>We are looking for a Staff Generative AI Engineer to design, build, and ship production-grade Generative AI and Agentic AI applications that delivery business value across the organization. This role is focused on building AI applications and services at scale. You will be responsible for building robust, secure, and highly scalable systems that integrate with leading cloud-based AI services. </p>\n<p>As a senior individual contributor, you will bring deep technical expertise, drive high-quality engineering practices, and serve as a mentor for junior to mid-level engineers. You will work closely with software engineers, data scientists, and product teams to translate business problems into production-grade AI applications and services.</p>",
"ObjectVerNumberProfile": "1",
"PrimaryLocationCountry": "US",
"CorporateDescriptionStr": "",
"ExternalPostedStartDate": "2026-06-22T15:39:57+00:00",
"ExternalQualificationsStr": "Mentorship and Team Development\n<ul>\n <li>Mentor and coach junior and mid-level engineers through code reviews, architecture discussions, and pair programming</li>\n <li>Foster a culture of engineering excellence, knowledge sharing, and continuous improvement</li>\n <li>\n <p>Participate in technical design reviews and contribute to the professional growth of team members</p>\n <p> </p></li>\n</ul><strong>Required Qualifications </strong>\n<ul>\n <li>10-15 years of professional software engineering experience with at least 3-5 years of experience building AI/ML software products</li>\n <li>Bachelor’s degree in Computer Science or a related field (Master’s degree preferred)</li>\n <li>Strong proficiency in Python, with deep software engineering fundamentals (abstraction, modularity, system design, testing, performance)</li>\n <li>Hands-on experience building and shipping Generative and Agentic AI applications, including LLM integration, prompt engineering, and/or agentic workflows</li>\n <li>Practical experience integrating cloud-hosted LLM APIs such as Azure OpenAI, Vertex AI, and/or AWS Bedrock</li>\n <li>Experience with agent frameworks (e.g., LangChain, LangGraph, Google ADK, Claude Agent SDK) and vector databases (e.g., Pinecone, Weaviate, pgvector, Open Search, AlloyDB)</li>\n <li>Hands-on experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), or Azure</li>\n <li>Strong understanding of API design, distributed systems, and cloud-native architecture</li>\n <li>Proven track record of taking systems from design through production deployment and operation </li>\n</ul>\n<p> </p><strong>Preferred Qualifications </strong>\n<ul>\n <li>Experience with containerization and orchestration (Docker, Kubernetes)</li>\n <li>Knowledge of Generative AI Risk Management frameworks (NIST RFM)</li>\n <li>Experience supporting developer platforms or internal tooling</li>\n <li>Experience writing design documents or helping define engineering standards</li>\n</ul>",
"InternalQualificationsStr": "Mentorship and Team Development\n<ul>\n <li>Mentor and coach junior and mid-level engineers through code reviews, architecture discussions, and pair programming</li>\n <li>Foster a culture of engineering excellence, knowledge sharing, and continuous improvement</li>\n <li>\n <p>Participate in technical design reviews and contribute to the professional growth of team members</p>\n <p> </p></li>\n</ul><strong>Required Qualifications </strong>\n<ul>\n <li>10-15 years of professional software engineering experience with at least 3-5 years of experience building AI/ML software products</li>\n <li>Bachelor’s degree in Computer Science or a related field (Master’s degree preferred)</li>\n <li>Strong proficiency in Python, with deep software engineering fundamentals (abstraction, modularity, system design, testing, performance)</li>\n <li>Hands-on experience building and shipping Generative and Agentic AI applications, including LLM integration, prompt engineering, and/or agentic workflows</li>\n <li>Practical experience integrating cloud-hosted LLM APIs such as Azure OpenAI, Vertex AI, and/or AWS Bedrock</li>\n <li>Experience with agent frameworks (e.g., LangChain, LangGraph, Google ADK, Claude Agent SDK) and vector databases (e.g., Pinecone, Weaviate, pgvector, Open Search, AlloyDB)</li>\n <li>Hands-on experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), or Azure</li>\n <li>Strong understanding of API design, distributed systems, and cloud-native architecture</li>\n <li>Proven track record of taking systems from design through production deployment and operation </li>\n</ul>\n<p> </p><strong>Preferred Qualifications </strong>\n<ul>\n <li>Experience with containerization and orchestration (Docker, Kubernetes)</li>\n <li>Knowledge of Generative AI Risk Management frameworks (NIST RFM)</li>\n <li>Experience supporting developer platforms or internal tooling</li>\n <li>Experience writing design documents or helping define engineering standards</li>\n</ul>",
"OrganizationDescriptionStr": "",
"primaryLocationCoordinates": [
{
"Latitude": "39.82844",
"Longitude": "-98.57939",
"CountryCode": "US",
"GeographyId": 300000000467584,
"GeographyNodeId": 300001186829838
}
],
"ExternalResponsibilitiesStr": "<strong>Key Responsibilities</strong> Application and Solution Engineering\n<ul>\n <li>Design, build, and ship production-grade Generative and Agentic AI applications and services for internal and external users</li>\n <li>Develop high-quality backend services in Python, with strong software engineering rigor around testing, performance, and maintainability</li>\n <li>Champion reusability and abstraction in everything you build by designing and building modular, well-abstracted components and libraries </li>\n <li>Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK</li>\n <li>Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock</li>\n <li>Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking</li>\n <li>Build clean, well-tested RESTful and/or gRPC APIs with a strong focus on reliability, security, and performance</li>\n <li>Implement observability, tracing, evaluation, guardrails for Generative and Agentic AI applications</li>\n <li>Deploy and operate services on major cloud providers (e.g., GCP, AWS, and Azure) leveraging managed services</li>\n <li>Contribute to platform architecture decisions and engineering best practices</li>\n <li>Take applications from prototype through production deployment, hardening, and ongoing operation</li>\n</ul>",
"InternalResponsibilitiesStr": "<strong>Key Responsibilities</strong> Application and Solution Engineering\n<ul>\n <li>Design, build, and ship production-grade Generative and Agentic AI applications and services for internal and external users</li>\n <li>Develop high-quality backend services in Python, with strong software engineering rigor around testing, performance, and maintainability</li>\n <li>Champion reusability and abstraction in everything you build by designing and building modular, well-abstracted components and libraries </li>\n <li>Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK</li>\n <li>Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock</li>\n <li>Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking</li>\n <li>Build clean, well-tested RESTful and/or gRPC APIs with a strong focus on reliability, security, and performance</li>\n <li>Implement observability, tracing, evaluation, guardrails for Generative and Agentic AI applications</li>\n <li>Deploy and operate services on major cloud providers (e.g., GCP, AWS, and Azure) leveraging managed services</li>\n <li>Contribute to platform architecture decisions and engineering best practices</li>\n <li>Take applications from prototype through production deployment, hardening, and ongoing operation</li>\n</ul>",
"InternationalTravelRequired": null
},
"list_job": {
"Id": "15867",
"Title": "Senior Assistant Vice President",
"JobType": null,
"Distance": 1782086400000,
"JobShift": null,
"Language": "US",
"WorkDays": null,
"JobFamily": null,
"Relevancy": 9,
"WorkHours": null,
"Department": null,
"HotJobFlag": false,
"PostedDate": "2026-06-22",
"StudyLevel": null,
"WorkerType": null,
"GeographyId": 300000000467584,
"JobFunction": null,
"JobSchedule": null,
"BusinessUnit": null,
"ContractType": null,
"ManagerLevel": null,
"Organization": null,
"TrendingFlag": false,
"workLocation": [
{
"Country": null,
"Region1": null,
"Region2": null,
"Region3": null,
"Building": null,
"Latitude": 40.72053,
"Longitude": -74.04624,
"LocationId": 300000002980557,
"PostalCode": null,
"TownOrCity": null,
"AddressLine1": null,
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "US New Jersey (JCO) C79"
}
],
"LegalEmployer": null,
"MediaThumbURL": null,
"WorkplaceType": "Hybrid",
"BusinessUnitId": 300000002965433,
"OrganizationId": 300000002988873,
"PostingEndDate": null,
"LegalEmployerId": 300000002988873,
"PrimaryLocation": "United States",
"WorkDurationYears": null,
"WorkplaceTypeCode": "ORA_HYBRID",
"BeFirstToApplyFlag": true,
"WorkDurationMonths": null,
"otherWorkLocations": [],
"secondaryLocations": [],
"ShortDescriptionStr": "AI Engagement Lead.",
"requisitionFlexFields": [],
"DomesticTravelRequired": null,
"PrimaryLocationCountry": "US",
"ExternalQualificationsStr": null,
"ExternalResponsibilitiesStr": null,
"InternationalTravelRequired": null
},
"detail_meta": {
"url": "https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2215867%22,siteNumber=cx_2",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 13369
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/1fb8df06cbcafb2c2a3113a2a8fed31e27927daf?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/3ea3b397-9a23-408a-8421-50fd1d902746JSONGET https://api.bluedoor.sh/job-postings/v1/sources/907773df-d032-42dc-b60a-978734f5ac21JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/1fb8df06cbcafb2c2a3113a2a8fed31e27927daf/eventsJSON