Enterprise AI Engineer: Data Intelligence & RAG Apps

Vibehackers; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Anthropic is seeking a Forward Deployed AI Engineer - Data Intelligence to design, build and deploy enterprise AI solutions that connect Claude and other LLMs to ServiceNow and enterprise data. This client-facing role blends AI engineering, data engineering, enterprise integration, and consulting to deliver production-ready, governed retrieval-augmented and agentic AI systems.

Location: Hybrid/Remote (flexible). Travel: up to 25–50% depending on client and business needs.

Qualifications

• 3+ years relevant engineering experience (software, AI, data, analytics, cloud, or systems integration).
• Hands-on experience building applications, data pipelines, integrations, APIs, automations, or cloud services.
• Experience with structured and unstructured data, relational databases, document repositories, APIs, and cloud storage.
• Experience with SQL, data transformation, data modeling, ETL/ELT, and data-integration concepts.
• Exposure to generative AI, LLMs, RAG, embeddings, vector search, semantic search, prompt engineering, AI agents, or LLM APIs.
• Experience building API-driven integrations using REST, JSON, OAuth, service accounts, and authentication/authorization patterns.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Understanding of software development best practices: Git, code review, testing, debugging, documentation, and agile delivery.
• Strong problem-solving and communication skills; ability to work directly with clients in consulting/professional-services engagements.

Responsibilities

• Partner with client business, data, technology, security, and ServiceNow stakeholders to identify high-value AI and Data Intelligence use cases.
• Translate requirements into technical designs, prototypes, production implementations, and iterative delivery plans.
• Build AI-enabled applications and workflows for knowledge discovery, employee assistance, service operations, document intelligence, and workflow automation.
• Design and implement data pipelines for ingestion, transformation, enrichment, indexing, and retrieval of structured and unstructured data.
• Implement RAG solutions, semantic search, embeddings, document processing, indexing, and vector storage.
• Develop prompt and context-engineering approaches, structured outputs, tool use/function calling, and agentic workflows with human-in-the-loop controls.
• Integrate AI capabilities with ServiceNow APIs, workflows, data, and user experiences.
• Implement evaluation, observability, logging, monitoring, and feedback loops across pipelines, retrieval systems, model calls, and agent workflows.
• Apply responsible AI, security, privacy, and governance controls across design, development, testing, and deployment.
• Contribute reusable components, accelerators, playbooks, and practice-level improvements for Data Intelligence delivery.

Skills

Data Engineering

AI/ML Engineering

System Integration

API Development

Cloud Engineering

RAG

Semantic Search

Vector Search

Observability

Security Governance

LLMOps

DataOps

Consulting

Problem Solving

Communication

Agile Delivery

Testing & QA

Tools

Claude

Anthropic API

ServiceNow

REST API

JSON

OAuth

Cloud Platforms

Git

Job description

Anthropic is seeking a Forward Deployed AI Engineer - Data Intelligence to design, build and deploy enterprise AI solutions that connect Claude and other LLMs to ServiceNow and enterprise data. This client-facing role blends AI engineering, data engineering, enterprise integration, and consulting to deliver production-ready, governed retrieval-augmented and agentic AI systems.

Location: Hybrid/Remote (flexible). Travel: up to 25–50% depending on client and business needs.