Job
Description
We are seeking an experienced Principal Architect - Enterprise Architect to join our team in the life sciences industry. This role will play a pivotal part in shaping the digital transformation of our organization by leveraging advanced AWS technologies, Artificial Intelligence (AI) concepts, and expertise in medical imaging data processing. The ideal candidate will possess a deep understanding of enterprise architecture frameworks, cloud solutions, and the unique challenges and opportunities within the life sciences domain. Responsibilities: - Design and implement scalable, secure, and compliant enterprise technology architectures tailored for the life sciences industry. Develop roadmaps for Cloud adoption, ensure alignment with business goals and regulatory requirements. Architect and deploy robust solutions using AWS services, including but not limited to EC2, S3, Lambda, SageMaker, Redshift, DynamoDB, and CloudFormation. Optimize Cloud infrastructure for performance, cost, and compliance. Drive innovation through serverless and container-based architectures. Design workflows for processing and analyzing imaging data using tools such as AWS HealthLake, AWS Comprehend Medical, or open-source frameworks. Develop AI-powered solutions for medical imaging applications such as disease detection, segmentation, and classification. Apply AI concepts to solve industry-specific challenges such as drug discovery, clinical trial optimization, patient data analysis, and medical imaging enhancement. Lead the integration of AI/ML tools such as AWS SageMaker, TensorFlow, or PyTorch into business processes. Collaborate with data scientists and domain experts to ensure AI models align with architectural standards. Ensure all solutions comply with regulatory standards such as HIPAA, GDPR, and GxP. Implement best practices for data privacy and security in Cloud-based environments. Coordinate with cross-functional teams, including R&D, IT, and business leaders, to identify technology needs and opportunities. Provide technical leadership and mentorship to development teams. Stay ahead of emerging technologies and trends in Cloud, AI, and medical imaging to guide strategic decisions. Educational Qualifications: - Bachelor's or Master's degree in Computer Science/Information Technology/Biomedical Engineering or a related field . Technical certification in multiple technologies is desirable. Skills: - Mandatory Technical Skills: - Enterprise Architect/ Application Enterprise Architect Angular Python AWS (Lambda / EC2) RDBMS SQL/DOLT Good to have : Medical Imaging AI Professional Experience: 14+ years of total IT experience with 8+ years of experience in enterprise architecture, and at least 5 years focused on AWS cloud solutions. Proven experience in the life sciences or healthcare domain, with expertise in medical imaging standards and data processing. Strong knowledge of AI/ML concepts, frameworks, and tools. Technical Skills: Expertise in AWS services (e.g., EC2, S3, Lambda, SageMaker, API Gateway, Redshift). Familiarity with AI/ML frameworks like TensorFlow, PyTorch, and AWS SageMaker. Hands-on experience with medical imaging standards such as DICOM, HL7, and FHIR. Experience with microservices, serverless computing, and DevOps practices. Strong understanding of data architecture, analytics, and integration patterns. Soft Skills: Exceptional problem-solving and analytical skills. Excellent communication and stakeholder management abilities. Ability to thrive in a fast-paced, dynamic environment.
