Cohort AI Inc.

About Cohort AI 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. About the Role 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. Responsibilities - 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 Minimum Qualifications - 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

About Cohort AI 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. About the Opportunity At Cohort AI, we’re building technology that demands reliability, scalability, and thoughtful engineering. We’re looking for a Senior Software Engineer who brings strong full-stack experience, sharp design instincts, and a passion for building systems that are clean, testable, and production-ready. In this role, you’ll help shape our platform end-to-end—working across backend services, modern front-end interfaces, and the automation pipelines that power delivery. You’ll collaborate closely with product, design, and engineering teammates to turn ideas into dependable software, while helping raise the bar for quality, performance, and security across our stack. Responsibilities: • Build and evolve full-stack features using Python/Django on the backend and React on the frontend. • Write clean, efficient, well-tested code that reflects strong engineering standards. • Design and maintain CI/CD workflows to support fast, reliable releases. • Partner with cross-functional teams to refine requirements and translate them into scalable technical solutions. • Review code, champion best practices, and help define engineering standards. • Implement monitoring and performance tooling to ensure smooth user experiences. • Integrate APIs, databases, and third-party services into cohesive systems. • Investigate and resolve issues quickly to keep applications running at peak performance. • Stay current with new tools, frameworks, and architectural patterns. • Support and mentor other engineers while fostering a culture of curiosity and continuous improvement. Required: • 5+ years of professional software engineering experience, including full-stack development. • Strong backend development skills with Python and Django. • Solid experience building modern front-end applications, especially with React and ES6+. • Deep understanding of HTML, CSS, and JavaScript fundamentals. • Comfort with version control systems such as Git. • Experience with automated testing and TDD practices (e.g., Jest, Playwright, Testing Library, or similar). • Working knowledge of CI/CD concepts and implementation. • Experience deploying and managing applications in cloud environments such as AWS (EC2, RDS, S3). • Familiarity with containerization and orchestration tools like Docker and Kubernetes. • Experience with relational and NoSQL databases. • Strong grasp of web security fundamentals and common vulnerabilities (XSS, CSRF, etc.). • Familiarity with design and prototyping tools such as Figma, Sketch, or Zeplin. • Strong analytical thinking, problem-solving ability, and communication skills. • Healthcare domain experience is a bonus, not a requirement.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Cohort AI, we’re building technology that demands reliability, scalability, and thoughtful engineering. We’re looking for a Senior Software Engineer who brings strong full-stack experience, sharp design instincts, and a passion for building systems that are clean, testable, and production-ready. In this role, you’ll help shape our platform end-to-end—working across backend services, modern front-end interfaces, and the automation pipelines that power delivery. You’ll collaborate closely with product, design, and engineering teammates to turn ideas into dependable software, while helping raise the bar for quality, performance, and security across our stack. - Build and evolve full-stack features using Python/Django on the backend and React on the frontend. - Write clean, efficient, well-tested code that reflects strong engineering standards. - Design and maintain CI/CD workflows to support fast, reliable releases. - Partner with cross-functional teams to refine requirements and translate them into scalable technical solutions. - Review code, champion best practices, and help define engineering standards. - Implement monitoring and performance tooling to ensure smooth user experiences. - Integrate APIs, databases, and third-party services into cohesive systems. - Investigate and resolve issues quickly to keep applications running at peak performance. - Stay current with new tools, frameworks, and architectural patterns. - Support and mentor other engineers while fostering a culture of curiosity and continuous improvement. Qualifications - 5+ years of professional software engineering experience, including full-stack development. - Strong backend development skills with Python and Django. - Solid experience building modern front-end applications, especially with React and ES6+. - Deep understanding of HTML, CSS, and JavaScript fundamentals. - Comfort with version control systems such as Git. - Experience with automated testing and TDD practices (e.g., Jest, Playwright, Testing Library, or similar). - Working knowledge of CI/CD concepts and implementation. - Experience deploying and managing applications in cloud environments such as AWS (EC2, RDS, S3). - Familiarity with containerization and orchestration tools like Docker and Kubernetes. - Experience with relational and NoSQL databases. - Strong grasp of web security fundamentals and common vulnerabilities (XSS, CSRF, etc.). - Familiarity with design and prototyping tools such as Figma, Sketch, or Zeplin. - Strong analytical thinking, problem-solving ability, and communication skills. - Healthcare domain experience is a bonus, not a requirement.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 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 Qualifications - 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