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Hawk Sense Business Solution pvt. ltd.

Oracle AI Architect

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Description

Job Title: Oracle AI Architect

Experience: 10+ Years Overall Experience (Minimum 3+ Years in AI/ML, Generative AI, or Agentic AI Solution Architecture)

Location: Hyderabad, Pune, Chennai, Mumbai, Bangalore

Work Mode: Hybrid

Job Summary:

We are seeking an experienced Oracle AI Architect to lead the design, architecture, and implementation of AI-powered enterprise solutions leveraging Oracle Cloud Infrastructure (OCI), Oracle Fusion Applications, and modern Generative AI technologies. The ideal candidate will possess deep expertise in AI/ML, Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Oracle Cloud services, while driving AI transformation initiatives across enterprise business functions.

Key Responsibilities:

- Define and implement enterprise AI architecture strategies aligned with business objectives.

- Design and deploy AI-powered solutions using Oracle Cloud Infrastructure (OCI) services.

- Architect and implement Generative AI, Agentic AI, and intelligent automation solutions across Oracle ERP and SCM environments.

- Lead AI-driven transformation programs involving Oracle Fusion Applications.

- Design scalable AI platforms integrating structured and unstructured enterprise data sources.

- Collaborate with business stakeholders, enterprise architects, and technology teams to identify AI use cases and develop solution roadmaps.

- Develop reference architectures, technical standards, and best practices for AI adoption.

- Design multi-agent systems, AI orchestration frameworks, and autonomous business processes.

- Ensure AI solutions comply with enterprise security, governance, privacy, and regulatory requirements.

- Support proof-of-concepts (POCs), pilots, and enterprise-scale AI implementations.

Required Technical Skills:

Oracle Cloud & AI Platforms:

- Oracle Cloud Infrastructure (OCI)

- OCI Generative AI Service

- OCI Data Science

- OCI Functions

- OCI API Gateway

- Oracle Autonomous Database

- Oracle Integration Cloud (OIC)

- Oracle AI Data Platform

- Oracle Fusion AI Agent Studio

- Oracle Redwood UX / Redwood UI Extensions

Artificial Intelligence & Machine Learning:

- Generative AI (GenAI)

- Agentic AI Architectures

- Large Language Models (LLMs)

- Prompt Engineering

- Embeddings and Vector Databases

- Retrieval-Augmented Generation (RAG)

- Multi-Agent Systems

- AI Orchestration Frameworks

- Model Evaluation and Observability

Programming & Integration:

- Python

- SQL

- REST APIs

- JSON/XML

- API-based Integrations

- Microservices Architecture

Oracle ERP Experience:

Strong experience working with Oracle ERP Cloud modules including:

- Oracle Financials Cloud

- Oracle Supply Chain Management (SCM) Cloud

Experience designing AI-driven business process automation and decision intelligence solutions within Oracle Fusion environments.

Key Responsibilities in AI Architecture:

- Design enterprise AI assistants and intelligent agents.

- Develop AI-powered workflows integrated with Oracle ERP and SCM applications.

- Architect RAG-based enterprise knowledge systems.

- Design conversational AI solutions leveraging Oracle Fusion AI Agent Studio.

- Define AI governance frameworks and model lifecycle management processes.

- Evaluate and integrate emerging AI technologies into enterprise ecosystems.

Preferred Skills:

Experience with cross-cloud AI ecosystems:

- AWS AI Services

- Microsoft Azure AI

- Google Cloud AI

Hands-on knowledge of:

- LangChain

- LangGraph

- Hugging Face

- NVIDIA NIM

- OpenAI Models

- Vector Databases

Experience with:

- AI Security

- Responsible AI Frameworks

- AI Governance

- Model Monitoring

- MLOps Practices

Leadership & Stakeholder Management:

- Lead architecture discussions and AI transformation initiatives.

- Mentor development and architecture teams on AI best practices.

- Drive stakeholder engagement across business and technology functions.

- Present AI roadmaps, solution architectures, and transformation strategies to executive leadership.

Educational Qualifications:

Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field.

Preferred Certifications:

- Oracle Cloud Infrastructure (OCI) Certifications

- Oracle AI Certifications

- Generative AI Certifications

- Cloud Architecture Certifications

- AI/ML Professional Certifications

Key Competencies:

- Enterprise Architecture

- AI Solution Design

- Strategic Thinking

- Problem Solving

- Innovation & Transformation Leadership

- Stakeholder Management

- Technical Leadership

- Communication & Presentation Skills

Skills

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