Artificial Intelligence (AI) Engineer

Description

We are looking for an Artificial Intelligence (AI) Engineer to join a fast-paced team and help shape intelligent, scalable solutions that support healthcare technology initiatives. This contract position with potential for a permanent role is ideal for someone who combines strong software and data engineering fundamentals with a genuine interest in applied AI, automation, and modern cloud platforms. In this role, you will contribute to building robust data products, intelligent workflows, and AI-enabled services that improve operational insight and decision-making across the healthcare lifecycle.

Responsibilities:
Design and implement scalable data workflows and system integrations using Azure-based services to support enterprise healthcare applications.
Partner with technical and business teams to uncover opportunities where AI-driven automation can streamline processes and improve outcomes.
Build and enhance autonomous or semi-autonomous agent capabilities that interact with data platforms, observe system behavior, and surface actionable insights.
Develop and maintain cloud-based analytics and data warehousing solutions using tools such as Azure Synapse, Data Lake, and Power BI.
Apply machine learning and AI methods to strengthen data processing, classification, detection, and operational decision support.
Ensure engineering solutions align with security, compliance, and deployment standards required for regulated healthcare environments.
Contribute to API development, platform reliability, and performance optimization across data and application ecosystems.
Participate in Agile team activities, share technical recommendations, and help advance engineering best practices through continuous improvement.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline.
At least 3 years of experience in software engineering, data engineering, or cloud-based data platform development.
Hands-on experience with Azure technologies such as Data Factory, Synapse, Data Lake, Event Hub, and related cloud services.
Strong programming skills in Python and SQL, including experience with data modeling and query or pipeline optimization.
Familiarity with AI-assisted development tools such as GitHub Copilot, Codex, ClaudeCode, or comparable platforms.
Exposure to artificial intelligence, machine learning, computer vision, TensorFlow, or detection-related solutions.
Understanding of Agile delivery practices and experience working within collaborative, cross-functional engineering teams.
Knowledge of healthcare data domains, standards, or regulated environments is preferred.

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