Forward Deployed AI Engineer – Data Intelligence

This is a fully remote position, open to applicants in Netherlands.

📋 Description

• Collaborate with client business teams, data experts, technology professionals, security personnel, and ServiceNow stakeholders to pinpoint high-impact AI and Data Intelligence use cases.

• Convert client specifications into technical designs, prototypes, production implementations, and iterative delivery strategies.

• Create AI-enabled applications and workflows utilizing trusted enterprise data.

• Develop reusable Data Intelligence components, accelerators, integration patterns, and implementation guides.

• Assist throughout the entire lifecycle from discovery and proof of concept to implementation, testing, production rollout, monitoring, and continuous enhancement.

• Design and implement pipelines for the ingestion, transformation, enrichment, indexing, and retrieval of both structured and unstructured enterprise data.

• Integrate AI solutions with ServiceNow, knowledge bases, document repositories, collaboration platforms, databases, data warehouses, data lakes, and SaaS systems.

• Implement RAG, semantic search, document processing, knowledge ingestion, embeddings, vector storage, hybrid retrieval, re-ranking, and source attribution.

• Build applications powered by Claude and Anthropic APIs, including structured outputs, tool utilization, agentic workflows, and human-in-the-loop controls.

• Combine AI and Data Intelligence capabilities with ServiceNow workflows, data, APIs, and user experiences.

• Create evaluation datasets, test plans, monitoring, logging, tracing, feedback mechanisms, and LLMOps/DataOps practices.

• Enforce responsible AI, security, privacy, and governance standards.

• Collaborate with architects, engineers, developers, product managers, designers, consultants, and clients.

• Engage in workshops, architectural sessions, sprint planning, demos, code reviews, retrospectives, and executive readouts.

• Contribute reusable code, RAG components, evaluation materials, technical playbooks, and internal documentation.

⛳️ Requirements

• A minimum of 3 years of relevant experience in software engineering, AI engineering, data engineering, analytics engineering, cloud engineering, systems integration, or a related technical field.

• Practical experience in building applications, data pipelines, integrations, APIs, automations, or cloud-based services.

• Proficient in Python.

• Familiarity with JavaScript/TypeScript, Java, SQL, or similar programming languages is advantageous.

• Experience dealing with structured and unstructured data, including relational databases, document repositories, APIs, and cloud storage solutions.

• Knowledge of SQL, data transformation, data modeling, ETL/ELT processes, data ingestion, or data integration concepts.

• Exposure to generative AI, LLMs, RAG, embeddings, vector search, semantic search, prompt engineering, AI agents, or LLM APIs.

• Experience in building or supporting REST API integrations utilizing JSON, OAuth, service accounts, and authentication/authorization frameworks.

• Familiarity with AWS, Microsoft Azure, or Google Cloud Platform.

• Understanding of Git, code review processes, testing, debugging, documentation, and agile methodologies.

• Capacity to navigate ambiguity in client environments.

• Excellent written and verbal communication abilities.

• Willingness and capability to work directly with clients in a consulting and professional-services capacity.

🏝️ Benefits

• A diverse and inclusive workplace.

• Equal opportunity employer and affirmative action workplace.

• Support for disability accommodations.

• Travel requirements of up to 25–50% based on client and business needs.