Job Title: Solution Architect – Healthcare Domain (Remote) Location: Remote Employment Type: Full-time Reporting To: Director of Technology / VP of Engineering About the Role: We are looking for an experienced Solution Architect with deep cross-domain expertise and a strong focus on the healthcare industry to lead solutioning, architecture, and delivery for our client portfolio. The ideal candidate will have hands-on experience working with US healthcare clients and a proven track record of managing APAC-based technical teams for global delivery. As a Solution Architect, you will play a strategic role in bridging the gap between business needs and technology solutions, with a strong focus on system integration, data architecture, and scalable design patterns in healthcare environments (e.g., EHR/EMR systems, FHIR, HL7, HIPAA compliance). Key Responsibilities: Lead the architectural design and technical vision for complex, multi-domain solutions with a strong emphasis on healthcare data and integration. Work closely with US-based clients to gather requirements, provide technical leadership, and define future-state architectures. Collaborate with cross-functional teams including product managers, business analysts, and developers to align business goals with scalable technical solutions. Manage and mentor APAC-based delivery teams, ensuring quality, consistency, and timely execution across all projects. Own end-to-end solution design from ideation and planning through to implementation and handoff. Stay up to date with emerging technologies, frameworks, and compliance standards in healthcare technology and broader enterprise environments. Serve as a trusted advisor to clients, providing guidance on architecture best practices, performance optimization, and digital transformation strategies. Required Qualifications: 10+ years of experience in enterprise software architecture, with at least 5 years in the healthcare domain. Proven experience working directly with US-based healthcare organizations (payers, providers, EHR vendors, etc.). Strong understanding of healthcare data standards and protocols (FHIR, HL7, HIPAA, ICD, CPT, etc.). Demonstrated experience in leading remote teams, preferably based in APAC, and delivering high-impact, scalable solutions. Deep knowledge across multiple technology domains: application architecture, cloud infrastructure (AWS/Azure), data engineering, integration middleware, and APIs. Familiarity with modern architecture patterns such as microservices, event-driven systems, and serverless computing. Strong communication and stakeholder management skills, with an ability to present to both technical and non-technical audiences. Preferred Qualifications: Experience with healthcare platforms such as Epic, Cerner, Salesforce Health Cloud, or Allscripts. Prior experience in global delivery models, including agile development and DevOps practices. Master’s degree in Computer Science, Information Systems, or a related field. Certifications in cloud architecture (AWS/Azure/GCP) and/or healthcare IT (e.g., HL7, FHIR, HIPAA). What We Offer: 100% remote work environment with flexible working hours Opportunity to work with top-tier US clients in the healthcare space Collaborative, growth-oriented team culture Competitive compensation and performance incentives Professional development and certification support
Senior NLP Engineer Location: [Remote] Department: AI / Data Science Engineering Reports to: Director of Machine Learning or VP of Engineering 🔍 Role Summary We are hiring a Senior NLP Engineer to design and deploy advanced natural language processing solutions that unlock clinical and operational insights from healthcare data. Your work will directly support AI-driven personalized care programs for chronic conditions such as CKD, supporting care teams, patient outreach, and decision-making workflows. This position demands current, hands-on experience in production-grade healthcare NLP—candidates must demonstrate real-world implementations, not just theoretical exposure. 🚀 Your Day-to-Day Collaborate with NLP team to design, build, and maintain efficient, reusable, and reliable code Architect scalable NLP pipelines using transformer models for tasks such as summarization, medical NER, classification, and retrieval Fine-tune models (e.g., BioGPT, ClinicalBERT, LoRA, RAG) on clinical and conversational datasets Implement classical NLP algorithms and data structures for specialized use cases Own architectural decisions and contribute to design standards, governance, and cross-team practices Monitor and improve model performance for robustness, privacy, and regulatory alignment Identify and resolve bottlenecks in the NLP stack Support code quality, organization, CI/CD pipelines, and AWS deployment automation Mentor and guide other NLP engineers, and share knowledge through tech talks and internal forums 🧰 You’re a Perfect Match If You Have 5+ years of commercial experience in Python development and NLP 2+ years of current real-world experience applying NLP in healthcare environments Deep theoretical and practical understanding of classical NLP and neural network–based NLP methods Strong foundation in classical ML algorithms and modern deep learning architectures Bachelor’s or higher degree in Computer Science, AI, or related technical field Upper-Intermediate+ level of English with excellent written communication Proficiency in Python NLP libraries: spaCy, NLTK, Scikit-learn, Keras, Hugging Face Transformers Solid grasp of algorithmic fundamentals and design patterns Git-savvy, experienced with DevOps tools and AWS infrastructure Knowledge of concurrency, high availability, scalability, and secure system design Ability to communicate architectural decisions, trade-offs, and emerging technology considerations Comfortable writing maintainable, modular Python code with OOP and functional programming principles Committed to lifelong learning and experimentation with new technologies Strong mentorship mindset and experience presenting at internal or external tech talks