OCI Cloud Gen AI Architect

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• Design, Architect and deploy AI/ML and Gen AI solutions on OCI using native AI services (e.g., OCI Data Science, AI Services, Gen AI Agents) that are secure, scalable and optimized for performance & cost.
• Build agentic AI solutions using frameworks such as LangGraph, CrewAI, AutoGen.
• Design & lead the development of machine learning AI / ML pipelines and fine-tuning pipelines to adapt foundation LLMs to enterprise-specific datasets
• Work with embedding models and OCI Vector Database to implement RAG Solutions.
• Provide technical guidance and best practices around MLOps, model versioning, deployment automation, and AI governance.
• Collaborate with functional SME s, application teams, and business stakeholders to identify AI opportunities and design the right cloud and ai first solutions.
• Advocate for OCI-native capabilities and continuously evaluate new Oracle AI services.
• Support customer presentations & solution demos, as needed with architectural insights and technical credibility.

• 10 15 years in Oracle Cloud and AI, with 5+ years of proven experience in designing, architecting and deploying AI/ML & Gen AI Solution over OCI AI stack.
• Strong Python development experience, streamlit, XML, JSON etc.
• Deep hands-on knowledge of LLMs (e.g. Cohere, GPT etc.) & prompt engineering techniques (e.g. zero-shot, few-shot, CoT, and ReAct) especially for Cohere, OpenAI Models.
• Strong knowledge of AI governance, security, guardrails, and responsible AI.
• Must have knowledge of data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
• Proficient in AI/ML/Gen AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain) & Vector DBs (e.g., Pinecone, Milvus).
• Proficient in Agentic AI Frameworks (e.g. CrewAI, AutoGen and multi-agent orchestration workflow)
• Deep knowledge of OCI services including: OCI Data Science, OCI AI Services (Vision, Speech, Language, Anomaly Detection), OCI Gen AI Service, OCI Gen AI Agents, Oracle ATP, Data Flow (Apache Spark), OCI Functions, API Gateway, and Monitoring
• Solid understanding of AI architecture principles: data lifecycle, feature stores, model registries, inference serving, feedback loops.
• Experience with Vector Databases, RAG architecture, and integrating Large Language Models (LLMs).
• Strong leadership, communication, and stakeholder management abilities.
• Must have working experience of implementing semantic matching, fuzzy logic, and similarity scoring algorithms (e.g., cosine similarity, Jaccard, Levenshtein distance) to drive intelligent entry matching in noisy or inconsistent data scenarios.
• Strong understanding and practical application of: Prompt engineering, Fine-tuning and parameter-efficient tuning, Agentic orchestration workflows
• Must have experience working with Oracle ATP, 23ai Databases and vector queries
• Good to have experience in front end programming languages such as React, Angular or Javascript etc.
• Good to have: Experience with Finance domain solutions, particularly around reconciliations, journal entry matching, or financial close processes.
• Good to Understand Oracle Cloud Deployment, architecture, networking, Security and other essential components
• Good to have knowledge of Analytics and Data Science.

• Oracle Cloud certifications such as: OCI Architect Professional, OCI Generative AI Professional, OCI Data Science Professional
• B.Tech Computer Science / MCA or equivalent degrees
• Any degree or diploma in AI would be preferred.