Principal AI Architect – GenAI, LLMs & AI Agents

دبي - الإمارات

الراتب شهرياً: لم يكشف

تاريخ النشر: نُشرت قبل 3 ساعة

عدد الوظائف الشاغرة: 1 عدد الوظائف الشاغرة

سجل للتقديم

ملخص الوظيفة

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:

Staff IC

DescriptionQualifications & Experience8 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 wi...

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:

Staff IC

اعرض المزيد

المهارات المطلوبة

Kubernetes
S3
Google Cloud Platform
Cassandra
System Architecture
Redshift
AWS
Cloud Architecture
NoSQL
UML
Kafka
Distributed Systems

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Oracle

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when eve ... اعرض المزيد

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