2 months ago
Remote, United KingdomStaff+
Responsibilities
- 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.
- Design and implement Claude and Anthropic API applications, prompt and context engineering patterns, RAG solutions, tool use, structured outputs, and agentic workflows.
- Build AI agents with defined roles, permissions, memory and context strategies, approval gates, fallback paths, escalation mechanisms, and human-in-the-loop controls.
- Develop, validate, deploy, and monitor predictive, NLP, classification, clustering, forecasting, anomaly detection, recommendation, and intelligent automation solutions.
- Build data-processing, feature-engineering, ETL/ELT, database, big-data, API, microservice, and cloud integration components.
- Integrate AI capabilities with ServiceNow, enterprise applications, APIs, identity providers, collaboration platforms, databases, document repositories, and operational systems.
- Establish evaluation frameworks, test suites, observability, monitoring, tracing, governance, security, privacy, auditability, and responsible AI controls.
- Lead technical discovery, architecture workshops, design reviews, proof-of-concepts, client demonstrations, documentation, and delivery roadmaps.
- Create dashboards, visualizations, KPIs, and executive reporting to measure AI adoption, business value, workflow outcomes, operational performance, and model quality.
Requirements
- 10+ years of experience applying AI, machine learning, data science, software engineering, or intelligent automation technologies to practical enterprise use cases.
- Strong hands-on coding expertise in Python and SQL, with experience using TensorFlow, PyTorch, and Scikit-learn.
- Demonstrated 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 knowledge of 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, Microsoft Azure, and/or Google Cloud, including big-data processing and cloud data platforms such as Apache Spark and Snowflake.
- NLP experience using Hugging Face, transformer models, cloud AI services, or comparable technologies.
- Experience with database management, query optimization, data warehousing, ETL/ELT pipelines, and data-quality practices.
- Experience with Tableau and Power BI for data visualization and reporting.
- Knowledge of responsible AI practices, privacy, security, human oversight, hallucination mitigation, prompt-injection defenses, model limitations, and governed deployment.
- Strong architectural, analytical, problem-solving, communication, stakeholder-management, and cross-functional collaboration skills.
- Preferred experience with Claude, the Anthropic API, Anthropic Console, Claude Code, Anthropic Academy, Anthropic partner enablement, or Claude-powered enterprise applications.
- Preferred familiarity with Model Context Protocol, AI agents, multi-agent systems, LLM orchestration, vector databases, semantic retrieval, enterprise search, embeddings, document ingestion, reranking, and RAG evaluation.
- Preferred experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, AI observability, tracing, prompt/version management, evaluation frameworks, guardrails, model monitoring, cost optimization, MLOps, LLMOps, Docker, Kubernetes, infrastructure as code, and production cloud deployment.
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Engineering, or a related technical field; equivalent relevant experience is accepted, and advanced degrees or relevant AI, cloud, data, ServiceNow, or Anthropic certifications are a plus.
Benefits
- NewRocket offers an inclusive and diverse workplace and is an equal opportunity and affirmative action employer.
- Anthropic partner enablement, technical training, product education, and relevant Anthropic Academy courses may be available.
- Travel to clients and conferences is required as needed.
- Disability accommodations are available through hr.in@newrocket.com.
Tech Stack
Apache SparkAWSAzureDockerGoogle Cloud PlatformKubernetesMatplotlibMongoDBMySQLNumPyPandasPostgreSQLPythonPyTorchscikit-learnSeabornSnowflakeSQLTensorFlow
Categories
Solutions Engineering
About NewRocket
NewRocket provides ServiceNow consulting, managed services, and AI-enabled workflow solutions for enterprises. The privately held firm, founded in 2016 and headquartered in Vista, California, is an Anthropic Claude Partner and designs, builds, and scales ServiceNow and LLM-based automations, governance, and integrations. It earns revenue through professional services, implementation projects, and ongoing managed support across IT service management and customer operations.