Solutions Architect, Amsterdam

📋 Description

• • As a Solutions Architect at LangChain, you will be at the forefront of enabling enterprise clients to harness the power of AI agents, transforming their operations and driving innovation.
• • You will play a pivotal role within our Professional Services team, collaborating closely with enterprise customers to architect, deploy, and meticulously optimize production-grade AI infrastructure and sophisticated agent systems.
• • Your core responsibility will be to design and implement scalable, secure, and highly available infrastructure deployments, ensuring the robustness and reliability of AI platforms.
• • Simultaneously, you will be instrumental in building and refining agent applications that are not only reliable and well-evaluated but also directly address and solve critical business challenges.
• • This multifaceted role demands a unique blend of deep technical expertise spanning software development, cutting-edge infrastructure and platform engineering, and exceptional customer-facing communication skills.
• • You will engage with a wide spectrum of technical challenges, from the intricate design of Kubernetes clusters to the complex architecture of multi-agent systems, requiring a comprehensive understanding of both infrastructure and advanced agent engineering principles.
• • The position offers a unique opportunity to make a direct and tangible impact on customer success, contributing significantly to the shaping of industry best practices in AI agent deployment.
• • You will be working with some of the most advanced and rapidly evolving AI technologies available today, pushing the boundaries of what's possible.
• • Join a highly collaborative team environment characterized by a strong, forward-thinking engineering culture, where innovation and continuous learning are paramount.
• • **Infrastructure & Platform Engineering Focus:**
• • Architect and design scalable, highly-available infrastructure solutions tailored for AI platform deployments, encompassing compute, storage, networking, and robust security measures.
• • Implement and manage enterprise integration patterns, ensuring seamless connectivity and data flow.
• • Leverage Infrastructure as Code (IaC) principles using tools like Terraform and Helm to automate and manage infrastructure provisioning and configuration.
• • Develop and implement multi-region High Availability (HA) and Disaster Recovery (DR) strategies to ensure business continuity.
• • Design and maintain efficient CI/CD pipelines for both infrastructure and application deployments, promoting agility and reliability.
• • **Agent Engineering & Development Focus:**
• • Design sophisticated multi-agent systems, employing various architectural patterns to achieve complex functionalities.
• • Implement core agent logic and orchestrate interactions using modern frameworks such as LangChain and LangGraph.
• • Develop and implement comprehensive evaluation frameworks to rigorously assess agent performance, accuracy, and reliability.
• • Optimize agent prompts through iterative A/B testing and other advanced techniques to enhance output quality and relevance.
• • Guide customers through the deployment and operational phases of their AI agent solutions, ensuring smooth transitions and ongoing success.
• • **Customer Engagement & Assessment Focus:**
• • Lead technical maturity assessments for enterprise clients, identifying areas for improvement and strategic implementation.
• • Engage directly with enterprise customers to deeply understand their unique business requirements and translate them into technical solutions.
• • Present well-researched and compelling technical recommendations to clients, articulating the value proposition of LangChain solutions.
• • Partner effectively with Engagement Managers, Product Management, and Engineering teams to ensure alignment and successful project delivery.
• • This role is ideal for a proactive, technically adept individual who thrives in a dynamic, customer-centric environment and is passionate about building the future of AI agents.