Principal Architect – Secure AI Agent Architecture & Engineering
United StatesFull-TimePrincipal
Salary184,000 - 202,831 USD per year
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Job Details
- Experience
- 10+ years in software development
- Required Skills
- AWSGraphQLPythonArtificial IntelligenceJenkinsKubernetesTypeScriptCI/CDRESTful APIsDevOpsTerraformMicroservicesAnsibleGitHub ActionsAWS Lambda
Requirements
- 10+ years in software development, with demonstrated expertise across front-end, back-end, and DevOps/cloud engineering.
- Proficiency in Python (TypeScript a strong plus)
- Proven experience in API development (RESTful/GraphQL)
- Hands-on experience with AWS services (EC2, Lambda, S3, RDS, EKS, etc.)
- Strong background in Kubernetes for container orchestration
- Expertise in DevOps practices, CI/CD pipeline design, and automation tools (e.g., Terraform, Ansible, Jenkins, GitHub Actions)
- Experience working with microservice architectures in production environments.
- AWS/GCP/Azure Solutions Architect, AWS/GCP/Azure DevOps Engineer, or equivalent cloud/devOps certifications.
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- Strong problem-solving abilities with a focus on designing scalable and secure solutions.
- Excellent communication and collaboration skills, with the ability to work cross-functionally in a fast-paced environment.
- Highly adaptable and comfortable learning new AI/automation technologies.
- Strong organizational skills with the ability to manage multiple priorities under tight deadlines.
- Proactive, self-motivated, and able to take ownership of end-to-end development processes.
- Mentorship mindset, able to share expertise and uplift junior engineers.
Responsibilities
- Design, develop, and maintain scalable full stack applications using Python to support security and compliance agent workflows.
- Define and implement frameworks and systems to measure confidence intervals and output reliability of non-deterministic systems ensuring statistically significant outcomes from agents.
- Build and optimize RESTful APIs to enable seamless data exchange across services and systems.
- Implement secure DevOps best practices including CI/CD pipelines, infrastructure-as-code, and automated deployment strategies.
- Develop automation frameworks and tools to reduce manual tasks, improve efficiency, and support AI-driven workflows.
- Collaborate with data engineering teams to integrate microservices with analytics platforms and big data pipelines.
- Ensure compliance with security standards, governance policies, applicable compliance standards based on client need, and cloud best practices.
- Monitor, troubleshoot, and optimize system performance, ensuring high availability and reliability of deployed applications.
- Provide technical mentorship and contribute to setting best practices for development, DevOps, and cloud engineering.
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