Solution Architect

Description

Join GlobalLogic’s Architects Team within the Healthcare Business Unit, supporting clients across the EMEA region. This strategic role focuses on engaging new clients, designing advanced AI solutions for medical image analysis, and launching projects involving computer vision, deep learning, and generative AI. You’ll work on cutting-edge use cases like diagnostic assistance, surgical planning, and radiology automation, bringing meaningful impact to patient care. If you’re passionate about AI in healthcare and want to drive innovation with real-world results, we’d love to hear from you.

Requirements

• Master’s or PhD in Computer Science, AI, Biomedical Engineering, or a related field.
• 7+ years of experience in AI/ML with at least 3 years focused on computer vision and deep learning.
• Proven experience with CNN architectures (e.g., ResNet, UNet, EfficientNet, VGG).
• Experience with GANs (e.g., CycleGAN, StyleGAN, Pix2Pix) and synthetic image generation.
• Hands-on with TensorFlow, PyTorch, OpenCV, and related vision libraries.
• Strong understanding of preprocessing techniques for medical imaging data (e.g., DICOM, NIfTI).
• Familiarity with training in cloud environments (Azure, AWS, GCP).
• Experience in deploying models and integrating with PACS systems or cloud-native imaging stacks.
• Solid understanding of model performance metrics and validation strategies for imaging.
• Excellent communication skills and at least Upper-Intermediate English level.

Preferred Qualifications (Nice to Have)

• Experience with FDA/CE Class B or C medical imaging products.
• Familiarity with explainable AI (Grad-CAM, LIME) and fairness techniques for imaging models.
• Knowledge of FHIR, HL7, and healthcare data standards.
• Understanding of HIPAA, GDPR, or other relevant data protection regulations.
• Experience with AI for surgical robotics, augmented reality in healthcare, or histopathology image analysis.
• Involvement in technical presales or client advisory initiatives.

Job responsibilities

• Design, develop, and optimize AI models for image classification, segmentation, detection, and synthesis.
• Lead computer vision and generative AI solutioning in client engagements and presales discussions.
• Build CNN- and GAN-based architectures tailored for healthcare and medical imaging use cases.
• Prepare and preprocess large-scale datasets from modalities like X-ray, CT, MRI, and digital pathology.
• Guide annotation strategies and quality control for labeled data.
• Collaborate with cloud, DevOps, and QA teams to integrate models into production pipelines.
• Ensure model robustness, explainability, and regulatory readiness (e.g., traceability, reproducibility).
• Conduct technical workshops and communicate complex concepts to clients in an accessible way.
• Stay current with research trends and evaluate new techniques for potential integration.
• Contribute to internal accelerators, frameworks, and IP development.