AI Architect – GenAI, LLMs & AI Agents

Oracle; Dubai; On-site; AED 420,000 - 900,000; Full time

Job summary

Oracle seeks an IC4-level AI/ML Architect to lead the design and deployment of production-grade generative AI solutions in Dubai. You will drive cross-functional collaboration, set technical direction for GenAI and intelligent agents, and ensure alignment with data strategy, DevOps and security practices.

You will mentor teams, engage with executives to define AI roadmaps, and stay at the forefront of model optimization, governance and multi-cloud integration.

Qualifications

• 8 years of total experience with 4 years in AI/ML engineering.
• Proven track record leading end-to-end AI solution design and deployment.
• Expertise in Generative AI LLMs NLP and AI agent development.

Responsibilities

• Architect, build and deploy production-grade AI/ML models focusing on GenAI and intelligent agents.
• Lead cross-functional teams delivering AI-enabled applications.
• Design scalable cloud-native AI solutions on OCI and multi-cloud platforms.
• Mentor teams on solution design, governance and delivery excellence.
• Guide enterprise AI architecture strategy aligning with data, DevOps and security.

Skills

AI/ML Architecture

Generative AI/LLMs

Python proficiency

ML Frameworks

LLM Fine-tuning

OCI / Multi-cloud

MLOps & CI/CD

Vector DB / RAG

Tools

HuggingFace

LangChain

PyTorch

TensorFlow

Job description

Description

Qualifications & Experience

• 8 years of total experience with 4 years in AI/ML Engineering roles.
• Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
• Proven track record in Generative AI LLMs NLP and AI agent development.
• Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace LangChain PyTorch TensorFlow etc.
• Experience fine-tuning LLMs for domain-specific applications (e.g. Q&A systems auto-documentation predictive insights).
• Hands-on experience building scaling and optimizing AI systems on OCI with knowledge of hybrid/multi-cloud architectures.
• Strong knowledge of machine learning algorithms prompt engineering vector databases and RAG pipelines.
• Familiar with MLOps model governance and CI/CD for ML workflows.

Responsibilities

Key Responsibilities

• Architect build and deploy production-grade AI/ML models with a strong focus on GenAI LLMs and intelligent agents.
• Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
• Design scalable cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
• Mentor teams on solution design best practices and delivery excellence for AI projects.
• Guide enterprise-wide AI architecture strategy ensuring alignment with data strategy DevOps and security best practices.
• Engage with C-suite stakeholders to define AI priorities value propositions and roadmaps.
• Lead solution estimation technical governance and program oversight.
• Contribute to GTM initiatives including customer-facing demos and proposal development.
• Stay current with the latest advancements in GenAI LLM optimization AI agent architectures and model integration strategies.
• Publish internal whitepapers present at leadership forums and help grow the AI practice through coaching and community engagement.

Core Competencies & Technical Expertise

• Enterprise Architecture & AI Strategy
• Application Development (with focus on integrating AI into existing stacks)
• Multi-cloud & Distributed Architecture (OCI expertise is a must; experience with AWS Azure or GCP also valuable)
• AI/ML Security & Compliance
• DevOps & Agile AI Delivery
• Integration & Data Engineering Strategy
• Stakeholder Engagement including Executive Leadership
• Program Oversight & Governance
• Solution Design Proposals and Estimates
• Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.

Qualifications

Career Level - IC4

Required Experience

Unclear Seniority