Cohort AI Inc. · Chicago
Software EngineeringEngineeringRemoteFullTimeposted 7mo ago
Cohort AI is an applied AI company building intelligent, production-grade systems that help organizations transform complex data into real-world outcomes. We partner with forward-thinking teams to design and deploy scalable AI-driven platforms across healthcare, enterprise, and data-intensive domains. Our focus is on combining strong engineering foundations with modern cloud, data, and AI architectures to deliver systems that are reliable, explainable, and built to scale. Learn more at www.thecohort.ai.
Cohort AI is seeking a Senior Software Architect to shape and lead the design of modern, cloud-native platforms that power our AI and data-driven solutions. In this role, you will own architectural strategy end-to-end—driving system design decisions, setting engineering standards, and guiding teams as they build scalable, secure, and high-performing systems.
You will play a key role in defining how our platforms evolve, with a strong emphasis on cloud infrastructure, distributed systems, and data architecture. Beyond hands-on technical leadership, you’ll help cultivate a strong engineering culture focused on quality, clarity, and continuous improvement.
Define and lead the architecture of complex, cloud-based systems with a focus on scalability, reliability, and security
Design and evolve data architectures, including data models, pipelines, and lifecycle management practices
Partner closely with product, engineering, and business stakeholders to translate requirements into robust technical designs
Establish and uphold best practices across software design, development workflows, and deployment strategies
Evaluate, select, and integrate cloud platforms, databases, and supporting technologies
Provide technical leadership and mentorship to engineering teams, raising overall technical standards
Review system designs and implementations, offering clear, actionable feedback
Create and maintain architectural documentation to ensure clarity and long-term maintainability
Drive improvements in development processes, tooling, and engineering methodologies
Implement data governance and security practices to ensure integrity, consistency, and compliance
Stay current with emerging technologies and architectural patterns to inform future platform evolution
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline
8+ years of professional software development experience, with significant focus on cloud architectures
Deep experience with one or more cloud platforms (AWS, Azure, or Google Cloud)
Strong foundation in software architecture principles, design patterns, and best practices
Proven experience designing and leading large-scale, distributed systems
Solid expertise in database technologies (SQL and NoSQL) and data management concepts
Hands-on experience with data architectures, including data warehousing, ETL pipelines, and governance models
Proficiency in at least one modern programming language (Python, Java, C#, or JavaScript)
Experience with DevOps practices such as CI/CD, infrastructure as code, and automated testing
Strong analytical and problem-solving skills with a system-level mindset
Excellent communication and leadership abilities, capable of influencing cross-functional teams
Comfortable working in agile environments with a collaborative, ownership-driven approach