3 hours 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
About NewRocket
NewRocket is the AI-first Elite partner that activates real value on ServiceNow. As a trusted advisor to enterprise leaders, NewRocket combines industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, NewRocket is among the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust to deliver lasing business value.