We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Principal Architect – AI Systems & Engineering
Location
United States
Posted
8 days ago
Salary
Not specified
Job Description
Role Description
In this role, you will lead the design and development of scalable systems that power advanced AI-driven security and compliance solutions. You will architect full-stack applications and cloud-native infrastructures that enable intelligent automation and enterprise-grade AI workflows. Working closely with engineering, data, and product teams, you will help translate complex technical requirements into robust, production-ready systems. This role blends deep technical expertise with strategic architecture leadership, ensuring performance, reliability, and scalability across modern distributed environments. You will also play a key role in mentoring engineers and defining best practices for development, DevOps, and cloud engineering.
- Design, develop, and maintain scalable full-stack applications using technologies such as Python and TypeScript to support advanced AI-driven workflows and automation systems.
- Architect and implement secure, high-performance RESTful APIs that enable seamless communication between services and enterprise platforms.
- Build and manage cloud-native microservice architectures on AWS, leveraging container orchestration platforms such as Kubernetes to ensure scalability and resilience.
- Implement modern DevOps practices including CI/CD pipelines, infrastructure-as-code, automated deployments, and monitoring frameworks to streamline software delivery.
- Develop automation frameworks and engineering tools that reduce manual processes and improve operational efficiency across AI and compliance systems.
- Collaborate with data engineering teams to integrate microservices with analytics platforms and large-scale data pipelines supporting AI applications.
- Ensure compliance with security best practices, governance policies, and cloud infrastructure standards.
- Monitor, troubleshoot, and optimize system performance to guarantee reliability, availability, and scalability of deployed solutions.
- Provide technical leadership and mentorship to engineering teams while contributing to architecture standards and engineering best practices.
Qualifications
- 10+ years of experience in software development with strong expertise across backend, frontend, and cloud or DevOps engineering environments.
- Proficiency in Python, with additional experience in TypeScript or similar modern programming languages considered a strong advantage.
- Proven experience designing and building RESTful or GraphQL APIs for scalable applications.
- Hands-on experience working with AWS services such as EC2, Lambda, S3, RDS, and EKS.
- Strong background in Kubernetes and containerized microservice architectures deployed in production environments.
- Expertise in DevOps practices including CI/CD pipeline design and automation tools such as Terraform, Ansible, Jenkins, or GitHub Actions.
- Experience integrating systems with large-scale data platforms, analytics systems, or data engineering pipelines.
- Excellent problem-solving, communication, and collaboration skills with the ability to work effectively across cross-functional teams.
- Strong organizational abilities with the capacity to manage multiple priorities in a fast-paced technical environment.
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent professional experience).
- Professional cloud certifications such as AWS Certified Solutions Architect or AWS Certified DevOps Engineer are highly valued.
- Additional experience in AI automation frameworks, cybersecurity, compliance engineering, or regulated industries is considered a plus.
Benefits
- Competitive salary package aligned with senior technical leadership roles
- Comprehensive health, dental, and vision insurance coverage
- Flexible work arrangements with remote-friendly options
- Generous paid time off and flexible leave policies
- Paid parental leave and family-friendly benefits
- Professional development support including certification and training reimbursement
- Access to mental health and wellbeing support programs
- Collaborative and inclusive work environment with opportunities to participate in community initiatives and employee resource groups
Job Requirements
- 10+ years of experience in software development with strong expertise across backend, frontend, and cloud or DevOps engineering environments.
- Proficiency in Python, with additional experience in TypeScript or similar modern programming languages considered a strong advantage.
- Proven experience designing and building RESTful or GraphQL APIs for scalable applications.
- Hands-on experience working with AWS services such as EC2, Lambda, S3, RDS, and EKS.
- Strong background in Kubernetes and containerized microservice architectures deployed in production environments.
- Expertise in DevOps practices including CI/CD pipeline design and automation tools such as Terraform, Ansible, Jenkins, or GitHub Actions.
- Experience integrating systems with large-scale data platforms, analytics systems, or data engineering pipelines.
- Excellent problem-solving, communication, and collaboration skills with the ability to work effectively across cross-functional teams.
- Strong organizational abilities with the capacity to manage multiple priorities in a fast-paced technical environment.
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent professional experience).
- Professional cloud certifications such as AWS Certified Solutions Architect or AWS Certified DevOps Engineer are highly valued.
- Additional experience in AI automation frameworks, cybersecurity, compliance engineering, or regulated industries is considered a plus.
Benefits
- Competitive salary package aligned with senior technical leadership roles
- Comprehensive health, dental, and vision insurance coverage
- Flexible work arrangements with remote-friendly options
- Generous paid time off and flexible leave policies
- Paid parental leave and family-friendly benefits
- Professional development support including certification and training reimbursement
- Access to mental health and wellbeing support programs
- Collaborative and inclusive work environment with opportunities to participate in community initiatives and employee resource groups
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