AI Architect

Beinex
Dubai, دبي
دوام كامل
منذ يومين

Highlights

Experience

6+ Years

Joining Date

Immediate or max 30 days’ Notice Period

Qualification

Master’s degree in Data Science, Statistics or a related field (applicants with a Bachelor’s degree and relevant work experience can also apply)

Job Description

We are looking for an AI Architect to join our team.

Responsibilities

    • Design Enterprise AI Solutions: Architect scalable, secure, and high-performance AI solutions tailored to business needs across industries.
    • Define AI Strategy & Roadmaps: Collaborate with leadership to align AI initiatives with organizational objectives, ensuring maximum business impact.
    • End-to-End Solution Architecture: Lead design of AI platforms, data pipelines, and integration frameworks across cloud/on-premise environments.
    • Guide AI Implementation: Partner with engineering and data science teams to ensure best practices in model deployment, monitoring, and lifecycle management.
    • Evaluate Emerging Technologies: Assess AI tools, frameworks, and platforms to recommend optimal technology stacks and architectural approaches.
    • Ensure Compliance & Security: Incorporate governance, ethical AI, and data privacy considerations into solution designs.
    • Stakeholder Communication: Translate complex AI concepts into business outcomes for both technical and non-technical stakeholders.

Key Skills Requirements

    • Proven experience (6+ years) in AI/ML solution design, architecture, and deployment.
    • Prior experience designing and deploying AI-driven solutions at scale.
    • Strong foundation in machine learning frameworks (TensorFlow, PyTorch, Hugging Face).
    • Knowledge of APIs, microservices, and system integration patterns.
    • Experience working with distributed data systems, vector databases, and retrieval-augmented generation (RAG).
    • Expertise with LLMs, generative AI, and AI integration into enterprise systems.
    • Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerized deployments (Kubernetes, Docker).
    • Hands-on proficiency in data engineering, ML model pipelines, and MLOps practices.
    • Familiarity with AI governance, security frameworks, and ethical AI practices.
    • Excellent communication and stakeholder management skills.

Perks: Careers at Beinex

Comprehensive Health Plans

Learning and development

Workation and outdoor training

Hybrid working environment

On-site travel Opportunity

Beinex Branded Merchandise

تقديم
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