Associate Distinguished Engineer - Enterprise AI Solution Architect

Main Responsibilities

• Design comprehensive end-to-end AI architecture for 1000+ concurrent users including Claude integration strategy, MCP server components, and enterprise roadmap
• Define integration patterns for Claude API, MCP protocol, and manage data flows across distributed AI solution stack
• Architect enterprise-grade solutions with focus on high availability, auto-scaling, and performance optimization
• Design and implement enterprise SSO, identity management, RBAC, and security controls including identity pass-through mechanisms
• Establish monitoring, observability, and alerting frameworks for production-scale AI systems
• Set standards for security, performance, scalability, and reliability across front-end, API gateway, and backend infrastructure
• Design disaster recovery, backup strategies, and multi-region deployment architectures
• Provide technical leadership for DevSecOps practices and CI/CD pipeline design
• Architect data governance frameworks, audit logging, and compliance controls
• Design cost optimization strategies for cloud resources at enterprise scale
• Provide technical guidance and troubleshoot complex integration challenges across the entire solution

Required Skills

• Extensive Python experience (5+ years) – for MCP servers, backend AI infrastructure, and performance optimization
• Enterprise architecture expertise (7+ years) with proven experience scaling systems to 1000+ concurrent users
• Claude API integration and deep understanding of MCP protocol implementation and optimization
• Enterprise security architecture including SSO, SAML, OAuth 2.0, OIDC, identity federation, and threat modeling
• System design expertise for high availability, auto-scaling, load balancing, and enterprise-grade AI solutions
• Database architecture (SQL and NoSQL) with performance tuning, sharding, and data governance
• API Gateway and middleware design for enterprise integration patterns and rate limiting
• DevOps/SRE practices including infrastructure as code, monitoring, and incident response
• Cloud platforms expertise (AWS preferred) with AI/ML services, auto-scaling, and cost optimization

Preferred Experience

• Production AI/ML platform deployments supporting 1000+ concurrent users
• Container orchestration (Docker, Kubernetes) and microservices architecture
• Enterprise authentication providers (Entra ID, Okta, Auth0) integration experience
• Compliance frameworks (SOC 2, GDPR, HIPAA) implementation in AI systems
• Performance engineering including load testing, caching strategies, and optimization
• Full-stack development experience with modern frameworks (React, Vue.js, Angular)
• Observability tools (Prometheus, Grafana, ELK stack, Datadog, New Relic)
• Multi-cloud or hybrid cloud architecture experience

Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

• Location: Atlanta, GA
• Working Modal: 2-3 days weekly in office