AI Architect

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI 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

• Architect, develop, deploy, and maintain scalable AI and machine learning solutions for enterprise use cases • Define end-to-end architectures covering data ingestion, preparation, model selection, orchestration, APIs, workflow integrations, user experiences, monitoring, and governance • Identify high-value AI opportunities and translate requirements into technical designs and delivery roadmaps • Design predictive analytics, classification, clustering, forecasting, anomaly detection, recommendation, and intelligent automation solutions • Establish enterprise AI standards, reference architectures, reusable patterns, and best practices • Lead technical discovery, architecture workshops, design reviews, proofs-of-concept, and client demonstrations • Design and implement generative AI applications using Claude, the Anthropic API, and other LLM platforms • Architect secure RAG solutions grounded in enterprise documents, knowledge bases, databases, and other data sources • Build AI capabilities using structured outputs, tool use/function calling, APIs, and workflow orchestration • Architect and implement agentic AI systems with authorized tools, multi-step tasks, defined boundaries, permissions, memory, approval gates, fallbacks, and escalations • Integrate agentic workflows with ServiceNow, enterprise APIs, cloud services, databases, collaboration platforms, and operational systems • Implement human-in-the-loop controls and safeguards against unauthorized access, prompt injection, unsafe outputs, and uncontrolled autonomy • Develop, train, validate, deploy, and monitor machine learning models • Build data-processing and feature-engineering pipelines • Develop integrations, APIs, microservices, automation logic, and ETL/ELT pipelines • Apply secure engineering practices for authentication, authorization, secrets management, encryption, logging, error handling, and access controls • Establish AI evaluation frameworks, test suites, regression testing, observability, monitoring, tracing, alerting, and feedback loops • Define governance for privacy, sensitive data, model access, auditability, limitations, and responsible AI usage • Design ServiceNow AI-enabled workflow automations and intelligent experiences • Support chatbot, virtual-agent, employee-support, customer-service, IT operations, knowledge-management, and workflow-automation use cases • Create Tableau and Power BI visualizations, executive reporting, dashboards, KPIs, and measurement frameworks • Collaborate with client stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers • Complete relevant Anthropic partner enablement, technical training, and product education as available • Travel to clients and conferences as needed

🎯 Requirements

• 10+ years of experience applying AI, machine learning, data science, software engineering, or intelligent automation technologies to practical enterprise use cases • Strong coding expertise in Python and SQL • Hands-on experience with TensorFlow, PyTorch, and Scikit-learn • Experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions • Understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns • Hands-on experience with prompt engineering, context management, tokens, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation • Proficiency with Pandas, NumPy, Matplotlib, and Seaborn • Hands-on experience with AWS, Azure, and/or Google Cloud • Experience with Apache Spark and Snowflake • NLP experience using Hugging Face, transformer models, cloud AI services, or comparable technologies • Understanding of database management, query optimization, data warehousing, ETL/ELT pipelines, and data-quality practices • Experience with Tableau and Power BI • Knowledge of responsible AI practices, privacy, security, human oversight, hallucination mitigation, prompt-injection defenses, model limitations, and governed deployment • Strong analytical, architectural, problem-solving, communication, and stakeholder-management skills • Ability to collaborate across client, consulting, engineering, product, data, and AI/ML teams • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Engineering, or a related technical field; equivalent relevant experience will also be considered • Travel to clients and conferences as needed

🏖️ Benefits

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