AI Solutions Architect
This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Solutions Architect in the United States . In this role, you will design, develop, and implement AI-driven applications and data pipelines that power advanced healthcare solutions. You will work hands-on across software engineering, system integration, and AI/ML orchestration, collaborating with DevOps and engineering teams to deliver scalable, secure, and high-performance solutions. The role requires analyzing system requirements, building intelligent workflows, and integrating AI models to optimize healthcare operations. You will also guide technical decisions, evaluate tools and frameworks, and ensure adherence to cloud best practices and industry standards. This position offers an opportunity to work in a dynamic, innovative environment where your contributions directly impact the efficiency and effectiveness of healthcare platforms. Accountabilities: Develop, test, and deploy backend, frontend, AI/ML, and data components for healthcare platforms. Analyze system requirements and design software solutions for AI/ML integrations and data pipelines. Implement and maintain APIs, integration patterns, and cloud-based infrastructure. Troubleshoot, optimize, and secure applications to ensure high performance and compliance. Collaborate with DevOps and engineering teams on deployment, monitoring, and system maintenance. Conduct code reviews, testing, and documentation to support software quality and maintainability. Evaluate emerging tools, frameworks, and cloud services to enhance development efficiency. Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent combination of education and experience. 7+ years of software engineering experience, including 3+ years in systems analysis, software design, or development roles. Proficiency in multiple technology stacks such as Python, Node.js, .NET, and modern frontend frameworks. Experience with AI model integration, orchestration frameworks (e.g., LangChain, LangGraph), and intelligent workflow design. Strong understanding of cloud architectures (AWS, Azure, GCP) and software deployment patterns. Knowledge of healthcare interoperability standards (FHIR, HL7) is a plus. Demonstrated ability to troubleshoot, optimize, and secure complex software solutions. Strong collaboration, communication, and stakeholder management skills, with the ability to lead consensus across teams. Excellent analytical and problem-solving skills with the ability to manage competing priorities under tight deadlines. Benefits Competitive salary with performance-based incentives. Comprehensive medical, dental, and vision coverage. Retirement savings plans and company matching contributions. Professional development opportunities, including training and certifications. Flexible paid time off and holidays. Collaborative, innovative, and inclusive work environment. Opportunities to work on cutting-edge AI/ML healthcare solutions impacting real-world outcomes. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. It compares your profile to the job’s core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1