Lead Software Developer (AI Solutions)

Responsibilities

• Participate in the identification of opportunities for AI-driven automation and process optimization
• Architecture, develop, and implement AI/ML solutions for Clinical Data Management and operational processes using LLMs, RAG, traditional ML techniques, and rule-based approaches
• Define and execute strategies for model development, testing, validation, benchmarking, and training data preparation
• Integrate AI solutions into existing desktop and web-based software platforms (primarily C#/.NET applications)
• Collaborate with cross-functional stakeholders to ensure alignment with regulatory, quality, and operational requirements
• Prepare and maintain technical documentation related to software applications, AI models, and development processes
• Stay current with advancements in AI, machine learning, and software engineering technologies, and proactively evaluate their applicability within the organization
• Bachelor's degree in IT or an equivalent combination of education, training, and experience
• Minimum 5 years of practical experience in AI/ML/NN/computer vision solution development
• Minimum 2 years of experience building Generative AI and LLM-based solutions
• Proficiency in Python; SQL (MS SQL) and vector (Qdrant) databases; document-centric AI workflows
• Experience with AI validation, explainability, hallucination mitigation, benchmarking, and confidence scoring approaches
• Understanding AI-agent orchestration (MCP Server)
• Experience with APIs, CI/CD workflows, Git, Azure DevOps, and production deployment practices
• Understanding of SDLC and MLOP

Requirements

• Experience developing AI solutions within healthcare, life sciences, or CRO/pharmaceutical environments
• Experience integrating AI solutions into C#/.NET enterprise platforms
• Familiarity with Selenium, Playwright, or other automated testing frameworks

Benefits

Additional Information

We are seeking a highly motivated Lead Software Developer (AI) to lead the architecture, development, and implementation of AI-driven solutions supporting Data Management processes within a Clinical Research Organization (CRO). This role is ideal for a professional who can independently drive the full AI/software development lifecycle - from input into the identification of AI-automation opportunities to deployment of AI-components and supporting the team in maintaining production-ready solutions.

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Company Intel

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