Home › Companies › Fa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2 › AI Lead - Onshore
AI Lead - Onshore
Fa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2 · United States · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2 |
| Title | AI Lead - Onshore |
| Normalized title | - |
| Department / team | Dev & Run Ops |
| Location | United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2025-12-10 / 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 Ertb 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 Dev & Run Ops. | 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 Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2 |
| Source | c9ed31af-e3b7-45ab-9928-44fa8c877305 |
| ATS provider | Oracle 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 ID | 9cd35b1a4a380a3d3485642c26fb5b193ebb9662 |
| Org ID | 9b9010ed-5f3e-4445-bf65-2990847efc8d |
| Source ID | c9ed31af-e3b7-45ab-9928-44fa8c877305 |
| Board ID | c9ed31af-e3b7-45ab-9928-44fa8c877305 |
| Provider | oracle_hcm |
| Provider Job Key | 24642 |
| Title | AI Lead - Onshore |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | United States |
| Department | Dev & Run Ops |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | 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 |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/24642 |
| Apply URL | https://fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/24642 |
| First Seen At | 2026-05-31 18:10:54Z |
| Last Seen At | 2026-06-06 11:42:19Z |
| Last Checked At | 2026-06-06 11:42:19Z |
| Last Changed At | 2026-05-31 18:10:54Z |
| Inactive At | — |
| Source Posted At | 2025-12-10 01:18:09Z |
| Source Updated At | — |
| Raw Payload Uri | s3://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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