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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

FieldValue
CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
TitleSenior Assistant Vice President
Normalized title-
Department / teamData Analytics
LocationUnited States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-06-22 / 2026-06-23
Changed / last seen2026-06-23 / 2026-06-23

Related slices

PageWhat it containsOpen
Company jobsActive postings from Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Data Analytics.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
Source907773df-d032-42dc-b60a-978734f5ac21
ATS providerOracle 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 ID1fb8df06cbcafb2c2a3113a2a8fed31e27927daf
Org ID3ea3b397-9a23-408a-8421-50fd1d902746
Source ID907773df-d032-42dc-b60a-978734f5ac21
Board ID907773df-d032-42dc-b60a-978734f5ac21
Provideroracle_hcm
Provider Job Key15867
TitleSenior Assistant Vice President
Normalized Title
Statusactive
Activeyes
Location TextUnited States; US New Jersey (JCO) C79
DepartmentData Analytics
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
Region
City
Salary RawDescription 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 URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/15867
Apply URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/15867
First Seen At2026-06-23 11:32:31Z
Last Seen At2026-06-23 11:32:31Z
Last Checked At2026-06-23 11:32:31Z
Last Changed At2026-06-23 11:32:31Z
Inactive At
Source Posted At2026-06-22 15:39:57Z
Source Updated At
Raw Payload Uris3://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
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Extensions
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