Oracle HCM Cloud AI Solutions Architect
Duration: 12 Months + Extension
Bill Rate: $80/hr
Job Type: W2 Contract
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD
Job Description :
Lead Oracle HCM Cloud implementation and support across Core HR, Payroll, and Talent Management.
Design and deploy AI/GenAI-powered HR solutions using Oracle AI Agents and Digital Assistants.
Develop HR workflows, integrations, dashboards, and workforce analytics solutions.
Strong experience with Oracle Integration Cloud (OIC), REST/SOAP APIs, and end-to-end HR processes.
Collaborate with business stakeholders on requirements, solution design, configuration, and delivery.
Leverage LLMs, Generative AI, Azure OpenAI, and OCI AI Services to enhance employee experiences.
Mentor junior consultants and drive best practices, Agile delivery, and change management.
Experience in Healthcare, Financial Services, or Retail and Oracle HCM certification is preferred.
Key Responsibilities
AI-Powered Requirements Analysis & Solution Design
Utilize AI and LLM technologies to analyze business requirements, user stories, process flows, and SCM functional specifications.
Generate technical designs, impact assessments, solution options, traceability matrices, and effort estimates using AI-assisted workflows.
Accelerate fit-gap analysis and Oracle Cloud quarterly release impact assessments through AI-driven insights.
Improve analysis and design cycle times using AI-enabled knowledge discovery.
AI-Assisted Development & Modernization
Leverage GitHub Copilot, Oracle Code Assist, Agentic AI frameworks, and similar tools to accelerate software development.
Develop and enhance Oracle SCM customizations, integrations, extensions, reports, and automation solutions.
Apply AI for code generation, refactoring, optimization, reverse engineering, and legacy modernization initiatives.
Automate integration mappings, API development, documentation generation, and technical artifacts using AI tools.
AI-Driven Testing & Quality Engineering
Design AI-powered testing strategies for functional, integration, regression, performance, and user acceptance testing.
Utilize AI for automated test case generation, test data creation, defect identification, and maintenance.
Implement AI-enhanced regression frameworks supporting Oracle Cloud quarterly releases.
Perform defect triage, root cause analysis, and quality prediction using AI-enabled tools.
AI Enabled DevOps & Operational Support
Integrate AI-driven code reviews, security analysis, static code scanning, and quality controls into CI/CD pipelines.
Generate release notes, deployment guides, implementation documentation, and operational runbooks using AI.
Support AI-powered deployment automation, environment management, and release readiness assessments.Utilize AI monitoring and analytics to improve operational efficiency and issue resolution.