Lead AI Architect

Svitla Systems Inc. is looking for a Lead AI Architect for a full-time remote position (40 hours per week) in the USA.

Our client is building AI-driven healthcare solutions that transform how healthcare organizations use data, automation, and emerging technologies. Their focus is on creating scalable, intelligent systems that address real challenges across the healthcare sector.

You will serve as the senior technical authority for AI strategy, architecture, and implementation across the company. It is a highly technical, internally focused role with no direct customer engagement responsibility. You will work closely with executive leadership, engineering, product, and data teams to design scalable AI systems and define the company's long-term AI roadmap. The successful candidate will combine deep healthcare industry knowledge with hands-on expertise in modern AI technologies, large language models, and enterprise-scale deployment.

Requirements

• Minimum 5 years of experience working within the healthcare industry
• At least 10 years of overall experience in software architecture, AI, machine learning, or enterprise technology leadership.
• Proven track record in architecting enterprise AI and machine learning solutions.
• Hands-on experience with generative AI technologies and large language models (LLMs).
• Strong knowledge of AI orchestration frameworks, model optimization, and deployment strategies.
• Knowledge of cloud-native AI environments and scalable distributed systems.
• Strong understanding of AI governance, responsible AI practices, and data privacy.
• Experience designing enterprise-grade APIs, integrations, and scalable platforms.
• Deep understanding of healthcare data ecosystems and interoperability concepts.
• Ability to operate independently in a fast-moving, innovation-focused environment.
• Forward-thinking with a strong orientation toward innovation and emerging technologies.
• The ability to make clear, well-reasoned architectural decisions under uncertainty.
• The ability to simplify complex technical concepts for executive stakeholders.
• Strong cross-functional collaboration skills across technical and non-technical teams.
• High level of ownership, accountability, and strategic execution discipline.

Nice to have

• Experience with Python, TensorFlow, and PyTorch.
• Experience with LangChain or similar AI orchestration frameworks.
• Familiarity with vector databases and retrieval-augmented generation (RAG) architectures.
• Familiarity with MLOps and model lifecycle management.
• Understanding of Kubernetes and containerized deployment environments.
• Experience with AWS, Microsoft Azure, or Google Cloud Platform.
• Knowledge of healthcare interoperability standards, including HL7 and FHIR.
• Experience with clinical, operational, or claims data environments.
• Familiarity with secure AI deployment patterns within regulated industries.

Responsibilities

• Define and lead the enterprise AI architecture strategy across the organization.
• Evaluate, select, and standardize AI models, frameworks, and tooling.
• Design scalable AI and machine learning architectures for healthcare-focused applications.
• Lead architectural decisions related to LLMs, generative AI, NLP, predictive analytics, and intelligent automation.
• Develop AI governance, scalability, security, and model lifecycle strategies.
• Establish best practices around AI deployment, MLOps, model monitoring, and optimization.
• Build future-state architectural roadmaps aligned with business objectives.
• Ensure AI solutions comply with healthcare regulations, privacy requirements, and data governance standards.
• Guide and mentor engineering and AI team members on architectural standards and technical direction.
• Evaluate buy-versus-build strategies for AI technologies and platforms.
• Support cloud-native AI infrastructure planning and optimization.
• Participate in technical assessments, proofs of concept, and architecture reviews.

We offer

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Flexibility in workspace, either remote or our welcoming office.
• Bonuses for article writing, public talks, and other activities.
• Free tech webinars and meetups organized by Svitla.
• Regular corporate online activities.
• Awesome team, friendly and supportive community!