Senior/Lead Forward Deployed AI Engineer-Anthropic-Netherlands/Western Europe

highmetric; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Remote work option

Travel to customer engagements

Job summary

highmetric seeks a senior forward-deployed AI engineer to design, deploy, and operationalize AI-powered workflows for enterprise customers. You will work across full-stack engineering, enterprise integration, and client-facing solution delivery, translating real-world problems into production-ready AI solutions using Claude and related LLM platforms.

You will collaborate with business consultants, product teams, and customer stakeholders to build secure, scalable AI applications, applying prompt

Qualifications

• 8+ years of software engineering, systems integration, or enterprise workflow automation.
• Hands-on experience building or supporting AI/LLM-powered applications or RAG systems.
• Proficiency in Python, JavaScript/TypeScript, or comparable languages.
• Experience with cloud platforms (AWS, Azure, GCP).
• Familiarity with prompt engineering, embeddings, vector search, tool use, and model evaluation.
• Understanding of responsible AI, data privacy, and secure deployment practices.

Responsibilities

• Deploy, configure, and operationalize AI workflows and automations within customer enterprise environments.
• Translate business requirements into technical architectures and production plans.
• Build enterprise AI applications using Claude and related LLM platforms with prompt engineering and tool calls.
• Create prototypes, demos, and PoCs; iterate based on customer feedback and results.
• Implement reliability patterns: citation grounding, validation, fallback, and human-in-the-loop workflows.
• Support workshops, pilots, and production rollouts; clearly communicate AI capabilities and limitations.

Skills

Python

JavaScript/TypeScript

Cloud platforms

LLM concepts

Responsible AI

Enterprise integration

Tools

Claude

LangChain

Docker

Job description

Role overview

A senior forward-deployed AI engineer will work directly with enterprise customers to design, deploy, and operationalize AI-powered workflow solutions built on Claude and modern LLM engineering practices. The role blends full-stack engineering, enterprise integration, generative AI implementation, and client-facing solution delivery across multiple engagements. The engineer partners with business consultants, product teams, and customer stakeholders to translate real-world problems into secure, production-ready AI solutions.

Responsibilities

• Deploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-powered automations within customer enterprise environments and connected technology ecosystems
• Translate business requirements and operational processes into technical architectures, implementation plans, and production-ready AI solutions
• Build enterprise AI applications using Claude and related LLM platforms, applying prompt and context-engineering techniques, structured outputs, tool use or function calling, and retrieval-augmented generation grounded in authorized knowledge sources
• Build prototypes, demos, and proof-of-concept implementations that validate AI-driven workflows and iterate based on customer feedback and operational results
• Implement reliability and trust patterns including citation grounding, validation, confidence thresholds, output schemas, fallback handling, and human-in-the-loop escalation workflows
• Support workshops, discovery sessions, technical working sessions, pilots, and production rollouts while clearly communicating AI capabilities, limitations, and adoption considerations

Requirements

• 8+ years of experience in software engineering, systems integration, enterprise platforms, or workflow automation
• Hands-on experience building, deploying, or supporting AI/LLM-powered applications, RAG systems, conversational experiences, or agentic workflows
• Proficiency in Python, JavaScript/TypeScript, or comparable programming and scripting languages
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud
• Familiarity with modern LLM concepts including prompt engineering, embeddings, vector search, tool use, structured outputs, token usage, and model evaluation
• Understanding of responsible AI concepts including hallucination mitigation, sensitive-data handling, access controls, human oversight, and secure deployment practices

Nice to have

• ServiceNow development, configuration, workflow automation, or enterprise platform implementation experience, including IntegrationHub, Flow Designer, Virtual Agent, or Now Assist
• Familiarity with orchestration and application frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable tools
• Experience with Docker, CI/CD, SQL, Git, infrastructure-as-code, and secure cloud deployment practices
• Familiarity with Model Context Protocol (MCP) concepts and building or integrating secure tool and data connections for AI applications
• Completion of relevant partner enablement or technical training programs for Claude-based enterprise deployments

Benefits and work setup

• Remote position with approximately 25% travel for customer engagements across Western Europe