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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in deploying and configuring AI workflows and solutions, with a strong focus on integrating AI applications within enterprise environments. Proficient in full-stack development, API integrations, and ensuring responsible AI deployment while managing customer-facing technical implementations.
Highest-signal resume keywords
AI Workflow DeploymentFull-Stack DevelopmentAPI IntegrationServiceNow ExperiencePrompt Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaScriptTypeScriptPythonMicroservicesScriptingAI/LLM ApplicationsRAG SystemsWorkflow AutomationCloud-Native ApplicationsIntegration Services
Soft Skills
Customer-Facing EngineeringProblem-SolvingPrioritizationAdaptabilityCollaboration
Tools & Technologies
ServiceNowMicrosoft Copilot StudioAzure AI FoundryPower AutomatePower BIJiraConfluenceSmartSheetDockerCI/CD
Industry Keywords
AI SolutionsEnterprise IntegrationsTechnical ImplementationResponsible AIData Platforms
Tech Stack
Tools & technologiesAzureCloudDockerITSMJavaScriptMicroservicesPythonServiceNowSQLTypeScript
About the role
Key responsibilities & impact- Deploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-powered automations in client ServiceNow and enterprise environments
- Translate customer requirements and desired outcomes into technical architectures, implementation plans, and production-ready AI solutions
- Implement Agent Packs, AI accelerators, and workflow solutions
- Tailor AI solutions to customer operating models, processes, data, security requirements, and user needs
- Support workshops, discovery 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, and human-in-the-loop patterns
- Build RAG solutions grounded in authorized enterprise data
- Develop 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
- Evaluate AI quality, reliability, safety, latency, cost, and user experience
- Implement safeguards for sensitive data, permissions, prompt injection, unsafe tool use, and unintended model behavior
- Monitor and improve deployed solutions based on feedback, performance data, incidents, and customer needs
- Contribute to NewRocket Intelligence Platform, Value Realization Dashboard, Data Intelligence Platform, and Agent Packs
- Diagnose and resolve issues across AI workflows, integrations, retrieval pipelines, data connections, and automation processes
- Optimize systems for reliability, performance, latency, model usage, and cost efficiency
- Collaborate with Business Process Consultants, Product Engineering, Data Engineers, AI/ML Engineers, ServiceNow teams, and the AI Center of Excellence
- Deploy autonomous and human-in-the-loop agents using Microsoft Copilot Studio, Azure AI Foundry, and related Microsoft technologies
- Develop multi-agent solutions with orchestration, tool calling, contextual memory, and workflow coordination
Requirements
What you’ll need- 8+ years of experience in software engineering, systems integration, enterprise platforms, workflow automation, or related technical delivery roles
- Hands-on experience in full-stack development, scripting, APIs, microservices, enterprise integrations, or cloud-native applications
- Experience building, deploying, or supporting AI/LLM-powered applications, AI-enabled automations, conversational experiences, RAG systems, or agentic workflows
- Experience integrating APIs, enterprise applications, data platforms, or workflow systems in production environments
- Experience with Power Automate and Power BI
- Proficiency in JavaScript/TypeScript, Python, or similar programming and scripting languages
- Familiarity with prompt engineering, context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation
- Understanding of responsible AI concepts, sensitive-data handling, identity and access controls, human oversight, AI safety, and secure AI deployment
- Experience in customer-facing engineering, consulting, technical implementation, solutions architecture, or professional-services roles
- Ability to manage ambiguity, prioritize effectively, travel to clients as needed, and deliver high-quality solutions in fast-moving customer environments
- Experience with Microsoft Copilot Studio, Azure AI Foundry, Azure AI Search, vector databases, Python, C#, TypeScript, Jira, Confluence, SmartSheet, and AI orchestration frameworks
- ServiceNow experience is a strong plus, including development, configuration, workflow automation, scripting, APIs, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, CMDB, ITSM, CSM, HRSD, knowledge management, and enterprise integrations
- Preferred familiarity with Model Context Protocol (MCP)
- Familiarity with Docker, CI/CD, SQL, Git, infrastructure-as-code, and secure cloud deployment practices
Benefits
Comp & perks- Diverse and inclusive workplace
- Equal opportunity workplace and affirmative action employer
- Disability accommodations available upon request
- Remote work arrangement
- Travel opportunities to client sites