Solution Architect - LangGraph & Agentic AI

Meyandy LLC; Stuttgart; Hybrid; EUR 90.000 - 150.000; Vollzeit

Zusammenfassung

Meyandy LLC seeks an experienced Solution Architect to lead LangGraph-based AI architectures and enterprise agent solutions in Stuttgart. You will translate business needs into scalable, secure designs and guide cross-functional teams to production readiness.

Focus areas include AI architecture, cloud integration, governance, observability, and collaboration with stakeholders to drive AI strategy and adoption across the organization.

Qualifikationen

• Experience designing AI agent and agentic workflow solutions.
• Translate business requirements into secure architectures.
• Practical knowledge of LangGraph and agentic AI concepts.
• Awareness of security, governance and compliance.

Aufgaben

• Lead architecture and design of enterprise AI agents and workflows.
• Define reusable patterns for agentic AI solutions.
• Collaborate with stakeholders to align AI strategy and roadmaps.
• Guide engineering teams and ensure production readiness and observability.

Kenntnisse

LangGraph

LLMs

Agentic AI

Security & governance

Stakeholder leadership

Observability

Tools

AWS

Azure

GCP

Jobbeschreibung

# Solution Architect - LangGraph & Agentic AIBelmont Lavan LtdVia arbeitnowStuttgart, DEPubliée il y a 6h## Description du posteWe are looking for an experienced **Solution Architect with hands-on experience designing and deploying LangGraph-based AI solutions** to lead the architecture of enterprise agentic AI platforms and applications.You will work with business and technology stakeholders to identify high-value AI opportunities and translate them into secure, scalable, and production-ready architectures.The role combines **AI architecture, enterprise integration, cloud engineering, agentic AI, security, governance, and stakeholder leadership**.You will be expected to understand LangGraph at a practical level and be able to challenge architectural decisions, guide engineering teams, and ensure that AI solutions can operate reliably at enterprise scale.**Requirements**### AI Solution Architecture* Lead the architecture and design of enterprise **AI agent and agentic workflow solutions**.* Design LangGraph-based architectures for single-agent and multi-agent applications.* Translate business requirements, processes, SLAs, security requirements, and technical constraints into solution architectures.* Evaluate architectural alternatives and document key technical decisions and trade-offs.* Define reusable architecture patterns for agentic AI solutions.### Enterprise Agent Architecture* Design architectures incorporating:+ LLMs+ LangGraph+ RAG+ Enterprise data+ APIs and business systems+ Workflow engines+ Human approval processes+ Observability+ Security and governance* Define appropriate boundaries between AI reasoning and deterministic business logic.* Design state management, persistence, recovery, and long-running agent workflows.* Determine when to use single-agent, multi-agent, or conventional application architectures.### Cloud and Platform Architecture* Design scalable AI application architectures on **AWS, Azure, or GCP**.* Define compute, networking, storage, API, security, and platform requirements.* Design architectures suitable for enterprise-scale production workloads.* Evaluate cloud services and AI platform capabilities based on performance, security, scalability, and cost.* Work with platform engineering and DevOps teams to establish deployment standards.### Integration Architecture* Design integration between AI agents and enterprise applications, APIs, databases, and SaaS platforms.* Define secure mechanisms for agent tool access and business-system interactions.* Design authentication, authorisation, secrets management, and access-control approaches.* Ensure AI-driven actions are traceable, auditable, and appropriately governed.### AI Security and Governance* Establish security and governance principles for enterprise AI agents.* Address risks including:+ Prompt injection+ Data leakage+ Unauthorised tool usage+ Excessive agent permissions+ Inaccurate or unsafe actions+ Sensitive-data exposure* Define appropriate human-in-the-loop controls.* Ensure solutions comply with organisational security, privacy, regulatory, and responsible-AI requirements.### AI Evaluation and Observability* Define architecture for AI application monitoring and observability.* Establish approaches for evaluating agent accuracy, reliability, latency, cost, and task completion.* Define appropriate logging, tracing, metrics, and alerting.* Establish operational processes for monitoring and continuously improving production agents.### Stakeholder and Technical Leadership* Work directly with senior business and technology stakeholders to define AI strategies and roadmaps.* Lead architecture workshops and technical design sessions.* Communicate complex AI concepts and architectural trade-offs to technical and non-technical audiences.* Provide technical direction to AI engineers, developers, data teams, and platform engineers.* Review solution designs and ensure alignment with enterprise architecture standards.* Mentor engineerin...