NewRocket

Artificial Intelligence

• Own delivery and operational excellence, customer satisfaction, portfolio health, and account growth across enterprise AI and Anthropic-focused services
• Manage executive client relationships and oversee assigned AI Foundry portfolio
• Oversee AI strategy, readiness, Claude-powered solutions, AI platform architecture, RAG, agentic AI, workflow automation, ServiceNow integration, governance, adoption, and managed AI operations engagements
• Provide direction, governance, escalation leadership, quality and compliance oversight, risk management, financial-performance management, staffing alignment, and delivery planning
• Ensure high-quality, on-time, and on-budget portfolio delivery
• Develop client relationships to drive project outcomes, adoption, account expansion, and long-term growth
• Serve as senior escalation point for delivery, scope, stakeholder, quality, technical, security, adoption, and commercial issues
• Establish measurable business outcomes, success criteria, adoption metrics, and value-realization plans
• Drive responsible AI controls covering security, privacy, human oversight, data controls, evaluation, testing, observability, and operational readiness
• Partner with architects and client teams to ensure technical quality, scalability, performance, and architectural alignment
• Improve AI Foundry delivery frameworks, governance processes, accelerators, and reusable playbooks
• Lead sales-to-delivery transitions, including SOW, proposal, RFP, scope, estimate, staffing, governance, kickoff, and mobilization reviews
• Manage portfolio capacity, dependencies, risks, milestones, financial performance, forecasting, utilization, backlog, bookings conversion, margin, and resource allocation
• Coach, mentor, develop, hire, and manage direct and indirect reports across technical, consulting, delivery, and cross-functional disciplines
• Build inclusive, high-performing teams across functions, geographies, cultures, and time zones
• Participate in pre-sales, account planning, opportunity reviews, deal reviews, RFP responses, and solution shaping
• Drive bookings and expansion within existing accounts and support new-logo opportunities
• Identify client needs informing new AI Foundry offerings, accelerators, delivery methodologies, and thought leadership
• Maintain personal utilization through executive governance, delivery oversight, account strategy, escalations, solution shaping, workshops, and strategic advisory work

Delivery Director – AI Foundry, Anthropic Business

AI Engineer

• Deploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-powered automations in client ServiceNow and enterprise environments
• Translate customer requirements and business processes into technical architectures, implementation plans, and production-ready AI solutions
• Build enterprise AI applications and workflows using Claude, the Anthropic API, and other LLM platforms
• Apply prompt/context engineering, structured outputs, tool use, API integrations, multi-step orchestration, human-in-the-loop patterns, and RAG
• Build demos, prototypes, and proof-of-concept implementations
• Develop secure integrations between ServiceNow, enterprise systems, APIs, data platforms, and AI services
• Implement authentication, authorization, secrets management, access controls, logging, error handling, version control, and documentation
• Develop evaluations, regression tests, safeguards, governance controls, and monitoring for AI applications
• Diagnose and resolve issues across AI workflows, integrations, retrieval pipelines, data connections, and automation processes
• Optimize deployed systems for reliability, performance, latency, model usage, and cost efficiency
• Contribute reusable components, prompt assets, evaluation frameworks, accelerators, and platform features to NewRocket’s AI products
• Collaborate with consultants, product engineering, data engineers, AI/ML engineers, ServiceNow teams, customers, and the AI Center of Excellence
• Travel approximately 25% and support customer workshops, discovery sessions, demonstrations, pilots, and production rollouts

Senior/Lead Forward Deployed AI Engineer

• Deploy, configure, and operationalize agentic AI workflows, assistants, and automations in client ServiceNow and enterprise environments
• Translate customer requirements and business processes into technical architectures, implementation plans, and production-ready AI solutions
• Integrate NewRocket Agent Packs, AI accelerators, and workflow solutions
• Support workshops, discovery sessions, technical working sessions, demonstrations, pilots, and production rollouts
• Build enterprise AI applications using Claude, the Anthropic API, and other LLM platforms
• Apply prompt and context engineering, structured outputs, tool use, API integrations, orchestration, human-in-the-loop patterns, and RAG
• Build demos, prototypes, proof-of-concepts, reusable implementation patterns, prompt libraries, integrations, and deployment assets
• Develop secure integrations between ServiceNow, enterprise systems, APIs, data platforms, and AI services
• Build scripts, microservices, automation logic, integration services, and lightweight user interfaces
• Develop evaluation approaches, metrics, regression tests, safeguards, governance documentation, and operational support procedures
• Monitor, troubleshoot, optimize, and improve deployed AI solutions for reliability, performance, latency, security, and cost
• Contribute to NewRocket’s Intelligence Platform, Value Realization Dashboard, Data Intelligence Platform, Agent Packs, and reusable AI accelerators
• Collaborate with consultants, product engineers, data engineers, AI/ML engineers, ServiceNow teams, the AI Center of Excellence, and customer stakeholders
• Travel approximately 25% and report to the Global AI Center of Excellence Lead

Forward Deployed AI Engineer

• Own delivery and operational excellence, customer satisfaction, portfolio health, and account growth across NewRocket’s enterprise AI and Anthropic-focused services
• Manage executive client relationships and oversee seamless delivery across AI Foundry offerings
• Oversee assigned AI Foundry portfolio with direction, governance, escalation leadership, quality and compliance management, risk and financial performance management, scope and staffing alignment, and delivery planning
• Partner with Sales, Solution Consulting, Practice Leaders, and Anthropic/AI Foundry teams to support bookings, grow client relationships, shape opportunities, validate scope and estimates, identify staffing needs, and ensure Sales-to-Delivery handoffs
• Ensure high-quality, on-time, and on-budget delivery across AI Foundry and Anthropic services
• Oversee enterprise AI engagements including AI strategy, Claude-powered solutions, RAG, agentic AI, platform enablement, workflow automation, ServiceNow integration, data enablement, governance, and managed services
• Serve as senior escalation point for delivery, scope, stakeholder, quality, technical, security, adoption, and commercial issues
• Drive delivery governance, methodology compliance, quality frameworks, project controls, responsible AI practices, security, privacy, testing, observability, and operational readiness
• Oversee portfolio planning, project health, capacity, dependencies, risks, milestones, financial performance, revenue forecasts, utilization, backlog, bookings conversion, margins, and delivery forecasting
• Partner with Resource Management and Practice Leadership on staffing and capability needs
• Coach, mentor, and develop direct and indirect reports across AI, engineering, architecture, ServiceNow, consulting, program management, data, and platform disciplines
• Lead hiring, onboarding, goal setting, performance reviews, feedback, succession planning, and career development
• Build high-performing, inclusive teams across functions, geographies, cultures, and time zones
• Participate in pre-sales meetings, account planning, opportunity reviews, deal reviews, SOW reviews, RFP responses, and solution-shaping activities
• Drive bookings and expansion in existing accounts and influence new-logo bookings
• Build executive relationships to identify opportunities for AI Foundry, Anthropic, ServiceNow, managed services, data, experience, and transformation offerings
• Maintain personal utilization through executive governance, delivery oversight, account strategy, escalations, solution shaping, workshops, and strategic advisory work

Backend Engineer

• Design, build, deploy, and maintain scalable platform capabilities for enterprise AI, machine learning, LLM, RAG, and agentic AI applications
• Create reusable reference architectures, infrastructure patterns, deployment templates, integration components, and engineering standards
• Build secure integrations with the Anthropic API, Claude models, enterprise data, APIs, workflow systems, and authorized tools
• Establish CI/CD, LLMOps, MLOps, versioning, testing, release-management, rollback, monitoring, evaluation, and lifecycle-management practices
• Support production AI services through incident response, troubleshooting, root-cause analysis, capacity planning, and service-level monitoring
• Design and manage cloud infrastructure across AWS, Microsoft Azure, Google Cloud Platform, or client-approved environments
• Implement infrastructure as code, containerized deployments, identity and access controls, security, privacy, logging, auditing, vulnerability management, disaster recovery, and business continuity
• Build secure data-ingestion, transformation, indexing, retrieval, RAG, vector-search, and enterprise data-integration pipelines
• Implement responsible AI safeguards, observability, tracing, output validation, source attribution, approval gates, and human-in-the-loop workflows
• Build integrations between AI platforms, ServiceNow, enterprise APIs, identity providers, workflow tools, collaboration platforms, and line-of-business systems
• Provide technical guidance and collaborate with AI Architects, AI/ML Engineers, Data Engineers, Product Engineering, ServiceNow developers, consultants, and client technology teams
• Contribute to playbooks, runbooks, reference architectures, technical documentation, reusable modules, demos, architecture reviews, and customer workshops
• Productionize Claude-powered and other enterprise AI solutions for secure, scalable, observable, governed use

AI Platform Architect

• Build, test, maintain, and document AI-enabled applications, workflows, and reusable accelerators
• Develop generative AI and LLM prototypes and proof-of-concepts using Claude, RAG, APIs, and workflow automation tools
• Support agentic AI solutions using enterprise context, approved tools, APIs, and enterprise process orchestration
• Apply prompt and context engineering, structured outputs, tool use/function calling, human-in-the-loop review, and workflow orchestration
• Integrate AI capabilities with enterprise platforms, including ServiceNow
• Write clean, secure, maintainable, and documented code
• Support data preparation, document ingestion, chunking, embedding, retrieval, evaluation, and testing
• Assess model and workflow performance for accuracy, relevance, groundedness, reliability, latency, cost, safety, and user experience
• Develop test cases, evaluation datasets, monitoring approaches, feedback loops, safeguards, and escalation workflows
• Document solution behavior, limitations, test results, and operational considerations
• Collaborate with product, engineering, design, data science, ServiceNow platform, and consulting teams
• Participate in requirements gathering, solution design, sprint planning, code reviews, and retrospectives
• Support client-facing technical research, demos, proofs-of-concept, and implementation activities
• Contribute to documentation, playbooks, reusable components, prompt libraries, evaluation assets, and knowledge sharing
• Stay current on AI technologies, Claude capabilities, enterprise use cases, and responsible AI practices
• Report to the Agentic AI Architect / Senior Forward Deployed AI Engineer

AI Engineer – Campus Hire

Director

• Oversee delivery quality and customer satisfaction across all projects in the Eastern United States
• Act as a senior escalation point and trusted advisor to client executives
• Ensure projects are staffed for success in collaboration with Resource Management and Delivery Excellence teams
• Maintain compliance with NewRocket methodologies, margin control, and continuous improvement practices
• Engage on key projects to guide direction, resolve issues, and uphold delivery excellence
• Own and manage the regional delivery portfolio, including forecasting, planning, and margin achievement
• Drive efficient utilization of global delivery resources, including collaboration with India teams
• Ensure smooth Sales-to-Delivery handoffs, aligning scope, estimates, and staffing needs
• Partner with Eastern US Sales leaders to expand accounts, secure new logos, and drive bookings growth
• Lead, coach, and mentor direct and indirect delivery team members
• Oversee career progression, hiring, and performance management for delivery talent
• Foster collaboration, trust, and high performance consistent with NewRocket’s values
• Achieve regional KPIs including bookings, revenue under management, margin, CSAT, and utilization
• Strengthen Eastern US client relationships to drive expansion opportunities
• Represent the region in cross-company delivery initiatives and align with corporate goals

Delivery Director – Consulting

• Deploy, configure, and operationalize agentic AI workflows, assistants, and automations in client ServiceNow and enterprise environments
• Translate customer requirements and business processes into technical architectures, implementation plans, and production-ready AI solutions
• Integrate NewRocket Agent Packs, AI accelerators, and workflow solutions into enterprise environments
• Tailor AI solutions to customer operating models, processes, data, security requirements, and user needs
• Support workshops, discovery sessions, technical working sessions, demonstrations, pilots, and production rollouts
• Build enterprise AI applications using Claude, the Anthropic API, and other LLM platforms
• Apply prompt and context engineering, structured outputs, tool use, API integrations, orchestration, human-in-the-loop patterns, and RAG
• Build demos, prototypes, proof-of-concept implementations, reusable patterns, templates, prompt libraries, integrations, and deployment assets
• Develop secure integrations among ServiceNow, enterprise systems, APIs, data platforms, and AI services
• Apply authentication, authorization, secrets management, access controls, logging, error handling, version control, and documentation
• Evaluate AI applications for relevance, accuracy, groundedness, safety, latency, cost, and user experience
• Implement safeguards for sensitive data, permissions, prompt injection, unsafe tool use, and unintended model behavior
• Monitor, troubleshoot, and optimize deployed AI systems for reliability, performance, latency, usage, and cost efficiency
• Contribute to NewRocket’s Intelligence Platform, Value Realization Dashboard, Data Intelligence Platform, Agent Packs, and AI accelerators
• Collaborate with Business Process Consultants, Product Engineering, Data Engineers, AI/ML Engineers, ServiceNow teams, and the AI Center of Excellence
• Share customer deployment learnings and contribute to playbooks, architectures, documentation, standards, and product evolution

Full-stack Engineer

• Develop customer applications for Work Order management, scheduling, and dispatch
• Collaborate with stakeholders to identify key functionality within custom ServiceNow instances
• Enhance ServiceNow event rules as necessary to ensure proper CMDB binding
• Interact with technical SMEs to obtain environment information supporting service map and event work

ServiceNow Lead Engineer

• Design, build, deploy, and maintain scalable platform capabilities for enterprise AI, machine learning, LLM, RAG, and agentic AI applications
• Create reusable reference architectures, infrastructure patterns, deployment templates, integration components, and engineering standards
• Build secure integrations with the Anthropic API, Claude models, enterprise data, APIs, workflow systems, and authorized tools
• Establish and operate CI/CD pipelines, LLMOps and MLOps capabilities, versioning, testing, release management, rollback, and change control
• Support production AI operations, including incident response, troubleshooting, root-cause analysis, capacity planning, and service-level monitoring
• Design and manage cloud infrastructure across AWS, Microsoft Azure, Google Cloud Platform, or client-approved environments
• Implement infrastructure as code, containerized deployments, identity and access controls, security, privacy, compliance, logging, monitoring, auditing, disaster recovery, and business continuity
• Build secure data ingestion, transformation, indexing, retrieval, RAG, vector search, and enterprise data integration pipelines
• Implement responsible AI safeguards, observability, tracing, evaluation, output validation, human-in-the-loop workflows, and governance controls
• Build integrations between AI platforms, ServiceNow, enterprise APIs, identity providers, workflow tools, collaboration platforms, and business systems
• Collaborate with AI Architects, engineers, ServiceNow teams, product engineering, security, data teams, and client stakeholders
• Contribute to technical documentation, playbooks, runbooks, reference architectures, reusable modules, demos, architecture reviews, and customer workshops
• Convert recurring client requirements into scalable productized platform features and accelerators

• Design, build, deploy, and maintain scalable platform capabilities supporting enterprise AI, machine learning, LLM, RAG, and agentic AI applications
• Create reusable reference architectures, infrastructure patterns, deployment templates, integration components, and engineering standards
• Build secure integrations with enterprise data, APIs, workflow systems, authorized tools, Anthropic API, and Claude models
• Enable standardized authentication, model access, prompt and context management, structured outputs, tool use, logging, error handling, and rate-limit management
• Support Claude-based document analysis, knowledge assistance, workflow automation, agentic task execution, summarization, classification, and decision support
• Establish and operate CI/CD pipelines, LLMOps and MLOps capabilities, evaluation pipelines, deployment automation, monitoring, and lifecycle management
• Support production AI services through incident response, troubleshooting, root-cause analysis, capacity planning, and service-level monitoring
• Define and monitor availability, latency, throughput, token consumption, model cost, tool-call success rates, task-completion rates, and error rates
• Design and manage cloud infrastructure across AWS, Microsoft Azure, Google Cloud Platform, or client-approved environments
• Implement infrastructure as code, containerized deployments, identity and access controls, security, privacy, auditing, vulnerability management, disaster recovery, and business continuity
• Build secure data-ingestion, transformation, indexing, retrieval, RAG, embeddings, vector-store, hybrid-search, and source-attribution pipelines
• Integrate AI applications with databases, data warehouses, document repositories, knowledge bases, ServiceNow, and third-party SaaS platforms
• Implement responsible-AI safeguards, observability, tracing, output validation, approval gates, fallback behavior, and human-in-the-loop workflows
• Build integrations between AI platforms, ServiceNow, enterprise APIs, identity providers, workflow tools, collaboration platforms, and line-of-business systems
• Provide technical guidance and collaborate with AI, data, product, ServiceNow, consulting, and client technology teams
• Contribute to playbooks, runbooks, reference architectures, technical documentation, reusable modules, knowledge-sharing sessions, architecture reviews, demos, implementation planning, and customer workshops
• Productionize AI solutions and contribute reusable components to NewRocket’s Intelligence Platform, Data Intelligence Platform, and Agent Pack ecosystem

• Build, test, maintain, and document AI-enabled applications, workflows, and reusable accelerators
• Develop generative AI and LLM prototypes and proof-of-concepts using Claude, RAG, APIs, and workflow automation tools
• Support agentic AI solutions using enterprise context, approved tools/APIs, and workflow orchestration
• Assist with prompt and context engineering, structured outputs, function calling, human-in-the-loop review, and workflow orchestration
• Integrate AI capabilities with enterprise platforms, including ServiceNow
• Prepare data and documents, including ingestion, chunking, embedding, retrieval, prompt development, evaluation, and testing
• Assess model and workflow performance for accuracy, relevance, groundedness, reliability, latency, cost, safety, and user experience
• Develop test cases, evaluation datasets, monitoring approaches, feedback loops, validation, fallback handling, and escalation workflows
• Apply responsible AI principles and safeguards for sensitive data, access controls, prompt injection, and unsafe tool execution
• Collaborate with product, engineering, design, data science, ServiceNow platform, and consulting teams
• Participate in requirements gathering, solution design, sprint planning, code reviews, and retrospectives
• Support client-facing technical research, demos, proof-of-concepts, and implementation activities
• Contribute to documentation, technical playbooks, reusable components, prompt libraries, evaluation assets, and knowledge-sharing sessions
• Stay current on AI technologies, Anthropic and Claude capabilities, and enterprise use cases
• Research and propose generative and agentic AI applications for enterprise workflows

AI Engineer, Graduate Level

ServiceNow

• As a Technical Consultant, you will interface with end-users, key stakeholders to gather systems requirements for ServiceNow TSOM, CSM, TI, FSM, OSS, and/or BSS implementations.
• You will customize ServiceNow applications and support the rollout of new features and modules, including configuration of application UI, workflows, and business logic
• Configuring integrations between ServiceNow via REST/SOAP web and other applications
• Strong experience with TSOM, CSM, TI, FSM, OSS, and/or BSl & B2B Integrations and can guide customers through understanding technical solutions to their business requirements
• Interact with technical SMEs to get necessary environment information to support your service map and event work
• Reflect impact assessment rules within service maps and validate with technical SMEs and stakeholders
• Participate in user acceptance testing of the resulting maps, impact rules and event management work
• Promote your update sets and data across applicable SN environments
• Remediate any production incidents that arise related to this scope
• Align with existing SN technical lead for map/event work to ensure consistent approach that does not break shared patterns
• Proactively maintain operational documentation and SOPs to reduce support risk & inefficiency

ServiceNow Technical Consultant – Telecom

Pre-sales Engineer

• Lead technical and strategic presales conversations, demonstrating how Claude can transform the client’s enterprise architecture and workflows.
• Partner closely with Account Executives to enforce structured pipeline hygiene.
• Translate high-level business objectives into concrete AI use cases.
• Architect tailored professional services engagements across the full AI lifecycle.
• Construct precise presales scoping estimates.
• Draft detailed work breakdown structures and technical frameworks for statements of work (SOWs).
• Act as the subject matter expert on how NewRocket delivers enterprise value through Claude.
• Fluidly pitch a wide spectrum of engagements tailored to the client's AI maturity.

Senior Pre-Sales Solutions Consultant – Anthropic Professional Services

Business Intelligence Developer

• Gathering and understanding business requirements for data visualization and analysis
• Collaborating with data engineers and analysts to acquire, clean, and transform data for reporting purposes.
• Ensuring data security and compliance with best practices
• Providing training and support to end users on using Power BI
• Keeping up to date with the latest Power BI features and trends
• Design, develop, and deploy advanced Power BI reports and dashboards.
• Create and maintain efficient data models and datasets in Power BI.
• Develop custom visualizations and calculations using DAX and Power Query.
• Design and develop interactive visual reports, KPI scorecards, and dashboards using Power BI Desktop.
• Integrate Power BI with various data sources such as SQL Server, Azure, Excel, and other databases.
• Wrangle data from various sources, ensuring accuracy and readiness for analysis.
• Apply data modeling best practices to support robust and scalable BI solutions.

Delivery Director – AI Foundry, Anthropic Business

Senior/Lead Forward Deployed AI Engineer

Forward Deployed AI Engineer

Delivery Director – AI Foundry, Anthropic Business

AI Platform Architect

AI Engineer – Campus Hire

Delivery Director – Consulting

Forward Deployed AI Engineer

ServiceNow Lead Engineer

AI Platform Architect

AI Platform Architect

AI Engineer, Graduate Level

ServiceNow Technical Consultant – Telecom

Senior Pre-Sales Solutions Consultant – Anthropic Professional Services

Power BI Developer