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HomeCompaniesFa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2AI Lead - Onshore

AI Lead - Onshore

Fa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2 · United States · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyFa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2
TitleAI Lead - Onshore
Normalized title-
Department / teamDev & Run Ops
LocationUnited States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2025-12-10 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Fa Ertb 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 Dev & Run Ops.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 Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2
Sourcec9ed31af-e3b7-45ab-9928-44fa8c877305
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description AI Strategy & Leadership Develop and execute the company’s AI strategy aligned with business goals and product roadmap. Lead cross-functional AI initiatives from concept to deployment, ensuring measurable value. Manage and mentor a team of AI/ML professionals, providing technical direction and career development. Stay current with emerging AI trends, LLM technologies, and best practices to guide innovation. Technical Oversight & Architecture Architect and design scalable AI/ML solutions, including models, pipelines, and deployment infrastructure. Oversee development of machine learning models, including training, evaluation, tuning, and productionization. Ensure AI systems meet performance, reliability, security, and compliance requirements. Work with engineering teams to integrate AI models into production applications and workflows. Project Delivery & Collaboration Partner with Product, Data, Engineering, and UX teams to identify AI opportunities and translate them into actionable projects. Lead technical reviews, roadmap planning, and prioritization for AI initiatives. Ensure high-quality documentation for models, datasets, and pipelines. Data & Model Governance Establish best practices for data management, model governance, versioning, monitoring, and ethical AI use. Implement processes for model testing, retraining, bias detection, and drift monitoring. Ensure adherence to regulatory and compliance standards related to AI and data privacy. Performance & Optimization Analyze performance metrics, user feedback, and business impact to improve AI-driven features. Continuously benchmark new tools, frameworks, and LLM technologies for potential adoption. Drive experimentation frameworks (A/B testing, reinforcement learning, prompt optimization, etc.) for better model outcomes. Qualifications Required Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or related field. 7–10+ years of experience in AI/ML engineering, data science, or related roles. Proven experience leading AI teams or large-scale AI initiatives. Strong proficiency in Python, machine learning frameworks (TensorFlow, PyTorch, Sklearn), and data engineering tools. Experience with LLMs, generative AI, and prompt engineering. Hands-on experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (Kubeflow, MLflow, SageMaker). Strong understanding of data structures, algorithms, model optimization, and deployment best practices. Preferred Experience building conversational AI, recommendation engines, predictive analytics, or intelligent automation systems. Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), and LLM fine-tuning. Experience with distributed computing frameworks (Spark, Ray). Certifications in AI/ML, cloud, or data engineering. Strong understanding of responsible AI, fairness, and regulatory requirements Compensation, Benefits and Duration Minimum Compensation: USD 54,000 Maximum Compensation: USD 189,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post

Full job record

Job ID9cd35b1a4a380a3d3485642c26fb5b193ebb9662
Org ID9b9010ed-5f3e-4445-bf65-2990847efc8d
Source IDc9ed31af-e3b7-45ab-9928-44fa8c877305
Board IDc9ed31af-e3b7-45ab-9928-44fa8c877305
Provideroracle_hcm
Provider Job Key24642
TitleAI Lead - Onshore
Normalized Title
Statusactive
Activeyes
Location TextUnited States
DepartmentDev & Run Ops
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
Region
City
Salary RawDescription AI Strategy & Leadership Develop and execute the company’s AI strategy aligned with business goals and product roadmap. Lead cross-functional AI initiatives from concept to deployment, ensuring measurable value. Manage and mentor a team of AI/ML professionals, providing technical direction and career development. Stay current with emerging AI trends, LLM technologies, and best practices to guide innovation. Technical Oversight & Architecture Architect and design scalable AI/ML solutions, including models, pipelines, and deployment infrastructure. Oversee development of machine learning models, including training, evaluation, tuning, and productionization. Ensure AI systems meet performance, reliability, security, and compliance requirements. Work with engineering teams to integrate AI models into production applications and workflows. Project Delivery & Collaboration Partner with Product, Data, Engineering, and UX teams to identify AI opportunities and translate them into actionable projects. Lead technical reviews, roadmap planning, and prioritization for AI initiatives. Ensure high-quality documentation for models, datasets, and pipelines. Data & Model Governance Establish best practices for data management, model governance, versioning, monitoring, and ethical AI use. Implement processes for model testing, retraining, bias detection, and drift monitoring. Ensure adherence to regulatory and compliance standards related to AI and data privacy. Performance & Optimization Analyze performance metrics, user feedback, and business impact to improve AI-driven features. Continuously benchmark new tools, frameworks, and LLM technologies for potential adoption. Drive experimentation frameworks (A/B testing, reinforcement learning, prompt optimization, etc.) for better model outcomes. Qualifications Required Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or related field. 7–10+ years of experience in AI/ML engineering, data science, or related roles. Proven experience leading AI teams or large-scale AI initiatives. Strong proficiency in Python, machine learning frameworks (TensorFlow, PyTorch, Sklearn), and data engineering tools. Experience with LLMs, generative AI, and prompt engineering. Hands-on experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (Kubeflow, MLflow, SageMaker). Strong understanding of data structures, algorithms, model optimization, and deployment best practices. Preferred Experience building conversational AI, recommendation engines, predictive analytics, or intelligent automation systems. Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), and LLM fine-tuning. Experience with distributed computing frameworks (Spark, Ray). Certifications in AI/ML, cloud, or data engineering. Strong understanding of responsible AI, fairness, and regulatory requirements Compensation, Benefits and Duration Minimum Compensation: USD 54,000 Maximum Compensation: USD 189,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/24642
Apply URLhttps://fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/24642
First Seen At2026-05-31 18:10:54Z
Last Seen At2026-06-06 11:42:19Z
Last Checked At2026-06-06 11:42:19Z
Last Changed At2026-05-31 18:10:54Z
Inactive At
Source Posted At2025-12-10 01:18:09Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com|CX_2/date=2026-06-06/2026-06-06T11-39-58-531Z-e320342a62e45378bca2a748525babe6f39f646f8831572ba82a69bb753d37a3.json
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