Forward Deployed AI Engineer – Data Intelligence

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NewRocket

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

NewRocket is a top global ServiceNow partner, providing a wide range of services and solutions to help enterprise leaders solve complex business problems. They specialize in advisory and transformation services, design and implementation, managed services, and more, focusing on improving customer and employee experiences through the use of the ServiceNow platform. Their solutions include platforms and integrations, security, risk, and resilience, as well as technology excellence. NewRocket serves a variety of industries including education, healthcare, financial services, and the public sector, among others, and is known for their expertise in UI and UX design as well as their ability to enhance workflows and improve business processes efficiently.

📋 Description

• Partner with client business, data, technology, security, and ServiceNow stakeholders to identify high-value AI and Data Intelligence use cases • Translate client requirements into technical designs, prototypes, production implementations, and iterative delivery plans • Build AI-enabled applications and workflows using trusted enterprise data • Develop reusable Data Intelligence components, accelerators, integration patterns, and implementation playbooks • Support the full solution lifecycle from discovery and proof of concept through implementation, testing, production rollout, monitoring, and continuous improvement • Design and implement pipelines to ingest, transform, enrich, index, and retrieve structured and unstructured enterprise data • Connect AI solutions to ServiceNow, knowledge bases, document repositories, collaboration platforms, databases, warehouses, data lakes, and SaaS systems • Design and optimize RAG solutions using Claude and other approved LLM technologies • Build LLM applications, agentic workflows, structured outputs, tool-use integrations, and human-in-the-loop controls • Integrate AI and Data Intelligence capabilities with ServiceNow workflows, data, APIs, and user experiences • Develop evaluation datasets, testing processes, monitoring, logging, tracing, and feedback mechanisms • Apply responsible AI, security, privacy, governance, access control, and data-protection safeguards • Collaborate with architects, engineers, developers, product managers, designers, consultants, and clients • Participate in workshops, architecture sessions, sprint planning, demos, code reviews, retrospectives, and executive readouts • Contribute reusable code, RAG components, evaluation assets, technical playbooks, and documentation

🎯 Requirements

• 3+ years of relevant experience in software engineering, AI engineering, data engineering, analytics engineering, cloud engineering, systems integration, or a related technical role • Hands-on experience building applications, data pipelines, integrations, APIs, automations, or cloud-based services • Strong proficiency in Python; experience with JavaScript/TypeScript, Java, SQL, or similar languages is valuable • Experience with structured and unstructured data, including relational databases, document repositories, APIs, and cloud storage • Experience with SQL, data transformation, data modeling, ETL/ELT, 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 building or supporting API-driven integrations using REST APIs, JSON, OAuth, service accounts, and authentication/authorization patterns • Familiarity with AWS, Microsoft Azure, or Google Cloud Platform • Understanding of Git, code review, testing, debugging, documentation, and agile delivery • Ability to work through ambiguity in client environments • Strong written and verbal communication skills, including explaining technical concepts to non-technical stakeholders • Ability and willingness to work directly with clients in a consulting and professional-services environment

🏖️ Benefits

• Diverse and inclusive workplace • Equal opportunity workplace and affirmative action employer • Disability accommodation support