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AI Software Architect / Developer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of DoseSpot. We are currently looking for an AI Software Architect / Developer in United States.. In this role, you will lead the design, development, and implementation of AI-driven solutions across a dynamic software and healthcare platform. You will build and guide AI initiatives from concept to production, enabling innovation across product teams and enhancing engineering workflows. This role combines hands-on technical expertise with strategic leadership, providing an opportunity to shape AI adoption and architecture at scale. You will collaborate cross-functionally with product, engineering, and executive teams, delivering measurable business impact while advancing AI capabilities in a mission-critical environment.. Accountabilities. . Drive the strategic AI roadmap, aligning AI initiatives with company objectives and product goals.. . Lead technical evaluation, design, and execution of AI/GenAI prototypes, proof-of-concepts, and production systems.. . Establish AI architectural standards, best practices, and governance for scalable, compliant systems.. . Mentor and guide engineering teams in AI-assisted development, model deployment, and workflow optimization.. . Conduct competitive AI landscape analysis, integrating emerging technologies and research into practical solutions.. . Ensure adherence to SOLID principles, design patterns, microservices architecture, and domain-driven design.. . Support CI/CD, DevOps, and cloud deployment best practices to enhance system reliability and efficiency.. . . 12+ years of software development experience, preferably in .NET/C# or Java, with a strong focus on architecture.. . 2+ years hands-on experience with LLMs (GPT, Claude, LLaMA) or GenAI frameworks (LangChain, LlamaIndex), including RAG techniques.. . Proven experience building and scaling high-transaction SaaS platforms with emphasis on performance, reliability, and security.. . Experience leveraging proprietary data for fine-tuning, prompt orchestration, retraining, and monitoring AI models.. . Solid understanding of backend development, RESTful APIs, cloud platforms (Azure or AWS), and containerization (Docker/Kubernetes).. . Expertise in microservices architecture, event-driven design, serverless computing, and database design (Relational and NoSQL).. . Familiarity with Agile at scale, CI/CD pipelines, DevOps tools, and enterprise performance optimization.. . Strong executive communication skills, capable of influencing stakeholders and aligning technical strategy with business goals.. . Experience in healthcare AI and ethical considerations in data privacy and de-identification is a plus.. . Company Location: United States.