--- title: 'Agentic AI Architect-Anthropic-US East at NewRocket' canonical: 'https://feeny.ai/job/agentic-ai-architect-anthropic-us-east-newrocket-eastern-sac95v7sfh7n' type: 'job' last_seen: '2026-09-09' --- # Agentic AI Architect-Anthropic-US East at NewRocket - **Company:** NewRocket - **Location:** Eastern, United States - **Work type:** remote - **Posted:** 2026-08-25 - **Last confirmed live:** 2026-09-09 - **Apply:** https://www.newrocket.com/careers/job?gh_jid=6161544004&gh_jid=6161544004 ## Job description Agentic AI Architect-Anthropic Partnership ## Why Us NewRocket is proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls. For an Agentic AI Architect, this partnership represents an opportunity to work at the forefront of enterprise AI—designing scalable, secure, and high-value solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, business processes, and mission-critical workflows. NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. Travel to clients and conferences as needed. We #GoBeyondWorkflows to create new kinds of experiences for our customers. Come join our Crew! ## The Role NewRocket is hiring an experienced Agentic AI Architect to support a large global client and help shape, design, and deploy enterprise AI solutions. This role combines AI/ML architecture, generative AI engineering, data engineering, cloud solution design, and technical leadership. You will be responsible for defining scalable architectures for AI and machine learning applications, including predictive analytics, natural language processing, retrieval-augmented generation (RAG), intelligent automation, and agentic AI systems. The ideal candidate brings strong hands-on expertise in Python, SQL, cloud services, databases, big-data technologies, and modern machine learning frameworks. You will also have practical experience designing LLM-powered applications that safely connect models to enterprise knowledge, systems, APIs, and workflows. You will work closely with client stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers to translate business needs into secure, reliable, and production-ready AI solutions. We are #GoingBeyond. Come join our Crew! ## What You Will Be Doing AI/ML Architecture & Solution Delivery - Architect, develop, deploy, and maintain scalable AI and machine learning solutions for enterprise use cases. - Define end-to-end solution architectures spanning data ingestion, data preparation, model selection, orchestration, APIs, workflow integrations, user experiences, monitoring, and governance. - Partner with business and technical stakeholders to identify high-value AI opportunities and translate requirements into actionable technical designs and delivery roadmaps. - Design solutions for predictive analytics, classification, clustering, forecasting, anomaly detection, recommendation, and intelligent automation. - Establish technical standards, reference architectures, reusable patterns, and best practices for enterprise AI delivery. - Lead technical discovery, architecture workshops, design reviews, proof-of-concepts, and client demonstrations. Generative AI, Anthropic & LLM Engineering - Design and implement enterprise generative AI applications using Claude, the Anthropic API, and other LLM platforms when appropriate for the business use case. - Apply effective prompt and context-engineering practices, including instruction design, few-shot examples, role definition, structured inputs and outputs, response constraints, and long-context management. - Architect retrieval-augmented generation (RAG) solutions that securely ground model outputs in approved enterprise documents, knowledge bases, databases, and other data sources. - Design document ingestion, chunking, embedding, vector search, retrieval, reranking, citation, and response-generation patterns for enterprise knowledge workflows. - Build and integrate AI capabilities using structured outputs, tool use/function calling, APIs, and workflow orchestration. - Assess and recommend the appropriate balance of LLMs, traditional machine learning, deterministic automation, enterprise search, and human decision-making for each use case. - Stay current on Anthropic platform capabilities, Claude releases, Anthropic implementation guidance, responsible AI principles, and enterprise AI best practices. - Complete relevant Anthropic partner enablement, technical training, and product education as available through NewRocket’s partnership. - Travel to clients and conferences as needed. Agentic AI & Workflow Orchestration - Architect and implement agentic AI systems that can reason over enterprise context, use authorized tools, execute multi-step tasks, and coordinate work across enterprise applications. - Design AI agents with defined roles, task boundaries, tool permissions, memory and context strategies, approval gates, fallback paths, and escalation mechanisms. - Develop agentic workflows that integrate with ServiceNow, enterprise APIs, cloud services, databases, collaboration platforms, and operational systems. - Implement human-in-the-loop controls for sensitive, high-impact, low-confidence, or exception-based actions. - Design safeguards to prevent unintended tool execution, unauthorized data access, prompt injection, unsafe outputs, and uncontrolled autonomous behavior. - Evaluate agent effectiveness through task-completion rates, quality, reliability, latency, cost, safety, and user-adoption measures. Machine Learning, NLP & Data Science - Develop, train, validate, deploy, and monitor machine learning models for predictive analytics, classification, clustering, and related use cases. - Implement AI and ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. - Develop NLP capabilities using Hugging Face transformer models and cloud AI services for text classification, summarization, sentiment analysis, entity extraction, and document intelligence. - Evaluate, adapt, and where appropriate fine-tune open-source or client-approved models for targeted use cases; apply prompt engineering, RAG, and tool use as preferred strategies when model fine-tuning is not appropriate or available. - Work with large language models for conversational AI, text generation, summarization, knowledge assistance, workflow automation, and decision support. - Build data-processing and feature-engineering pipelines that support reliable model training, testing, deployment, and monitoring. Cloud, Data Engineering & Platform Integration - Design and implement AI solutions using cloud platforms including AWS (e.g., SageMaker, Lambda, S3), Microsoft Azure, and Google Cloud Platform (e.g., Vertex AI). - Develop integrations between AI services, ServiceNow, enterprise applications, APIs, identity providers, databases, document repositories, and data platforms. - Build supporting services, APIs, microservices, automation logic, and integration components required to operationalize AI solutions. - Work with big-data technologies such as Apache Spark and Snowflake for large-scale data processing, analytics, and AI data pipelines. - Design and optimize ETL/ELT pipelines for data ingestion, transformation, validation, quality management, governance, and observability. - Use SQL, MySQL, PostgreSQL, MongoDB, and comparable technologies for data modeling, database management, query optimization, and data warehousing. - Apply secure engineering practices for authentication, authorization, secrets management, encryption, logging, error handling, and access controls. AI Quality, Governance & Responsible AI - Establish evaluation frameworks, test suites, representative datasets, and regression-testing practices for AI, ML, and agentic solutions. - Measure and optimize solution quality across relevance, accuracy, groundedness, safety, task completion, model behavior, latency, cost, reliability, and user experience. - Implement observability, monitoring, tracing, alerting, and feedback loops for production AI applications. - Define practical governance approaches for data privacy, sensitive-data handling, model access, auditability, model limitations, and responsible AI usage. - Implement controls for role-based access, data permissions, grounded responses, source attribution, output validation, exception handling, and human review. - Document architecture decisions, AI-system behavior, limitations, risk controls, operating procedures, and support requirements. ServiceNow, Automation & Enterprise Experience - Design AI-enabled workflow automations and intelligent experiences within ServiceNow and connected enterprise ecosystems. - Support chatbot, virtual-agent, employee-support, customer-service, IT operations, knowledge-management, and workflow-automation use cases. - Integrate AI solutions with ServiceNow capabilities such as workflow automation, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, knowledge management, and enterprise data sources, where applicable. - Develop AI automation solutions using collaboration platforms and cloud AI services, including Microsoft Teams and Azure AI, where appropriate. - Contribute reusable implementation patterns, agent designs, integration components, evaluation assets, and accelerators that strengthen NewRocket’s AI Foundry capabilities. Analytics & Visualization - Create interactive data visualizations and executive-ready reporting using tools such as Tableau and Power BI. - Develop dashboards and measurement frameworks that help stakeholders understand AI adoption, workflow outcomes, business value, operational performance, and model quality. - Support the definition and tracking of KPIs that demonstrate measurable value from AI-enabled solutions. ## What You Bring Along - 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, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. - Demonstrated experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions. - Strong understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns. - Hands-on experience with LLM concepts and application-development patterns, including prompt engineering, context management, tokens, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation. - Proficiency with data-science libraries such as Pandas, NumPy, Matplotlib, and Seaborn. - Hands-on experience with cloud platforms such as AWS, Azure, and/or Google Cloud. - Experience with big-data processing and cloud data platforms, including Apache Spark and Snowflake. - NLP experience using Hugging Face, transformer models, cloud AI services, or comparable technologies. - Strong understanding of database management, query optimization, data warehousing, ETL/ELT pipelines, and data-quality practices. - Experience with data visualization tools such as Tableau and Power BI. - Knowledge of responsible AI practices, including 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 effectively across client, consulting, engineering, product, data, and AI/ML teams. - Ability to learn and adapt quickly as AI technologies, enterprise requirements, and client needs evolve. ## Preferred Qualifications Anthropic & Claude Experience - Hands-on experience with Claude, the Anthropic API, Anthropic Console, Claude Code, or Anthropic-focused implementation guidance. - Completion of Anthropic Academy courses, partner enablement, technical training, or equivalent experience building Claude-powered enterprise applications. - Experience using Claude capabilities such as long-context processing, document analysis, tool use, structured outputs, and enterprise knowledge workflows. - Familiarity with Model Context Protocol (MCP) concepts and secure patterns for connecting AI applications to enterprise tools and data sources. Agentic AI & LLM Operations - Experience designing AI agents, multi-agent systems, AI orchestration workflows, and human-in-the-loop operating models. - Experience with LLM application frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable frameworks. - Experience with vector databases, semantic retrieval, enterprise search, embeddings, document ingestion, reranking, and RAG evaluation. - Familiarity with AI observability, tracing, prompt/version management, evaluation frameworks, guardrails, model monitoring, and cost optimization. - Experience with MLOps, LLMOps, CI/CD, Docker, Kubernetes, infrastructure as code, and production cloud deployment practices. Education - 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. - Advanced degree or relevant AI, cloud, data, ServiceNow, or Anthropic certifications are a plus. We Take Care of Our People NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard.  We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com. ## About NewRocket ## Company Overview - **One-liner**: NewRocket is an AI-first ServiceNow Elite Partner that helps enterprise leaders implement AI-driven workflows and digital transformation on the ServiceNow platform. - **Entity Type**: Private (backed by private equity; parent company: Column Group) - **Headquarters**: Vista, California, USA (with offices in New York, London, and Pune, India) - **Founded**: 2016 - **Founders**: Not publicly disclosed; leadership team includes CEO Harsha Kumar, COO Frank Palermo, CRO Kevin Connolly, CFO Sanjeev Munjal, and Chief Growth & Alliances Officer Jason Rosenfeld. ## Core Business - **Primary industry**: IT Services and IT Consulting, focused on the ServiceNow ecosystem. - **Target customers**: B2B – Global enterprise leaders across Financial Services, Manufacturing, Higher Education, and other regulated industries. - **Mission**: To help enterprise leaders go beyond pilots into real outcomes with AI that works with people and fits their industry. ## Products & Services - **Now Assist LAUNCH**: A tactical program to rapidly activate up to four out-of-the-box Now Assist Agentic AI skills into production. - **Agentic AI Integration**: Strategic evaluation and deployment of modular AI agents on the ServiceNow platform for measurable outcomes in IT, HR, and beyond. - **Advisory & Transformation Services**: Roadmapping and strategy to connect platform capability with AI opportunity. - **Implementation Services**: Full-cycle ServiceNow deployment, configuration, and optimization. - **Employee Experience Solutions**: Improve service levels and productivity with better visibility into client interactions. - **Customer Experience Solutions**: Enhance customer service workflows on ServiceNow. - **Security, Risk & Resilience Solutions**: Enterprise security and compliance automation. - **Platform & Integrations Solutions**: Custom integrations and platform extensions. - **Portal, Intranet & Mobile Solutions**: Digital workplace and employee portal development. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company). - **Key Metric**: Annual revenue estimated at $12.0M (LinkedIn data, as of 2026); total funding includes a Corporate Round and Private Equity Round in 2021 (investors not named on LinkedIn). - **Notable Investors/Partners**: Parent company Column Group; acquired Service Stack in 2022. Recognized as ServiceNow Elite Partner, ServiceNow Worldwide Partner of the Year, ServiceNow America Partner of the Year, and ServiceNow Advanced Platform Partner. - **Growth Signals**: 402 employees (+1.0% YoY), active job postings up 59.4% monthly and 121.7% quarterly; operates in 10 countries; 1,341 ServiceNow micro-certifications and 908 sales/pre-sales/delivery accreditations. ## Competitive Advantages - **AI-first focus**: Positioned as the “AI-first Elite ServiceNow partner,” offering modular Agentic AI skills for rapid deployment. - **Deep ServiceNow expertise**: Holds 34 ServiceNow Expert Certifications and over 1,300 micro-certifications – among the largest pure-play ServiceNow partners. - **Industry specialization**: Tailored solutions for Financial Services, Manufacturing, and Higher Education, with dedicated teams that understand sector-specific challenges. - **Proven track record**: Multiple ServiceNow Partner of the Year awards and a history of successful acquisitions (Service Stack). ## Strategic Focus - **Agentic AI acceleration**: Launching programs like Now Assist LAUNCH and Origin (AI-infused back-to-box offering) to help enterprises move from pilot to production. - **Global expansion**: Growing presence in EMEA (London office) and APAC (Pune, India) while deepening North American footprint. - **Talent development**: Investing in NewRocket University and a ServiceNow Enterprise Training agreement to upskill employees and retain top talent. ## Why Work Here - **Remote-friendly culture**: Flexible work environment with remote options, plus offices in Vista (CA), New York, London, and Pune. Emphasis on work-life balance and eliminating commute. - **Learning & growth**: Company-funded access to ServiceNow learning and certifications via NewRocket University; clear career progression paths. - **Benefits**: Competitive salary, healthcare (dental & vision), 401(k), flexible PTO, unlimited snacks, coffee, and beer. - **Core values**: Excellence, Creativity, Integrity, Teamwork, Empathy – with a stated commitment to diversity and celebrating individual uniqueness. - **Recognition culture**: Regular awards and a “humbled and honored” ethos; employees feel valued through recognition programs. ## Sources 1. [newrocket.com](https://www.newrocket.com/) 2. [newrocket.com/about](https://www.newrocket.com/about) 3. [newrocket.com/careers](https://www.newrocket.com/careers) 4. [linkedin.com/company/newrocket-gobeyond](https://www.linkedin.com/company/newrocket-gobeyond) 5. 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