The Solution Architect – Agentic AI will drive the design, architecture, and implementation of an enterprise -grade AI agent ecosystem within Mercedes -Benz.
This role bridges architecture, engineering, AI/ML, cloud, DevSecOps , security, and business enablement, ensuring that AI agents are secure by design , scalable, interoperable, and aligned with enterprise and regulatory standards.
The architect collaborates closely with System Architects, product owners, developers, platform teams, security, and business stakeholders to deliver agentic solutions across multiple domains while enforcing shift -left security, automation, and continuous compliance.
Key Responsibilities
1. Architecture & Solution Design
§ Architect end -to-end agentic AI solutions with security, compliance, and operability built in by default .
§ Create blueprints, reference architectures, and reusable patterns for secure, cross -cloud agent deployment .
§ Define data, model, tool, and API integration patterns with secure -by-design principles .
2. Multi -Cloud & Platform Expertise
§ Architect AI solutions across Azure and AWS , aligned with MB’s AI Ecosystem.
§ Ensure cloud -agnostic, DevSecOps -enabled deployments with consistent security controls and observability across environments.
3. Technical Leadership
§ Guide engineering teams in implementing agent capabilities, APIs, pipelines, and integrations following DevSecOps best practices .
§ Review solution designs for quality, scalability, security posture, cost efficiency, and enterprise alignment .
4. DevSecOps, Governance, Security & Compliance (Primary Responsibility)
§ Design and enforce DevSecOps pipelines for AI/ML and agentic systems, integrating security, quality, and compliance checks into CI/CD.
§ Implement enterprise standards for: o Secure SDLC, IaC , and pipeline governance o IAM/RBAC, secrets management, encryption, audit logging o Data privacy, model governance, and EU AI Act alignment
§ Drive shift -left security , threat modeling, vulnerability management, and continuous compliance for agentic systems.
5. Cross -Functional Collaboration
§ Work closely with System Architects, Product teams, Platform teams, Security, and external partners.
§ Provide DevSecOps and security enablement sessions , architectural guidance, and technical consulting for internal customers.
6. Operational Excellence
§ Ensure reliability, resilience, and secure operations of AI agent platforms.
§ Optimize cost, performance, monitoring, and security across environments.
§ Drive automation, continuous improvement, and operational maturity through DevSecOps practices.
