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AI Solutions Architect

United Arab Emirates (Remote)

About the Company

Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.

About the role

We are seeking an experienced AI Solutions Architect to design, develop, and implement innovative AI-powered solutions that solve complex business problems. The ideal candidate will have deep technical expertise in machine learning, cloud architecture, and software engineering, along with strong communication and problem-solving skills to drive strategic AI initiatives across the organization.

Location. This role is remote-based in the United Arab Emirates. 

What You'll Do (Key Responsibilities)

  • Design end-to-end AI/ML architectures and scalable systems using industry best practices.
  • Collaborate with cross-functional teams (engineering, product, data science, operations) to translate business requirements into AI/ML solutions.
  • Lead the technical direction of AI initiatives including model selection, data pipeline architecture, deployment strategies, and MLOps practices.
  • Evaluate and recommend AI tools, frameworks, cloud services, and infrastructure for production-grade systems.
  • Build prototypes and proof-of-concepts to demonstrate AI capabilities and validate solution approaches.
  • Ensure solutions adhere to best practices in model fairness, privacy, security, and compliance.
  • Mentor data scientists and engineers on best practices in AI architecture and deployment.
  • Stay updated on industry trends, research, and emerging technologies in AI and machine learning.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
  • 5+ years of experience in software architecture, with at least 2 years focused on AI/ML systems.
  • Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Strong knowledge of cloud platforms (AWS, Azure, or GCP) and services for AI (e.g., SageMaker, Vertex AI).
  • Hands-on experience with data pipeline tools (e.g., Apache Airflow, Kafka) and MLOps tools (e.g., MLflow, Kubeflow).
  • Strong coding skills in Python, Java, or Scala.
  • Familiarity with model evaluation, A/B testing, and monitoring in production.

Preferred Qualifications

  • Experience with NLP, computer vision, or generative AI models (e.g., LLMs).
  • Experience deploying AI models at scale in enterprise environments.
  • Certifications in cloud architecture or AI/ML.

Compensation

We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada.

#LI-AB1

#LI-Remote

You're a Great Fit if You're

  • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge 
  • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude 
  • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
  • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda 
  • Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you 

Equal Opportunity Statement

At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

 

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