Lead Applied AI Engineer II - PxE ServiceNow

Lead applied AI engineering for ServiceNow solutions, combining full-stack delivery with GenAI and agentic capabilities from design through production operations.

Responsibilities

• Drive a culture of accountability for customer and business outcomes and for the cost required to achieve them
• Design and deliver high-quality, lean engineering solutions to solve complex problems with measurable value
• Own inference, token, and cloud cost for what you build
• Act as a technical advocate for products to ensure code integrity, feasibility, and alignment with business and customer goals
• Lead end-to-end technical execution: requirement analysis, low-level architecture and component design, development, testing, integrations, and support
• Maintain accountability for architecture and technical stack integrity against enterprise standards and strategy
• Manage dependencies; oversee design, implementation, quality, data, and ongoing maintenance and operations
• Stay hands-on and self-driven by continuously learning new approaches, languages, and frameworks
• Create technical specifications; write scalable, supportable code; review other engineers’ work and mentor teammates to meet or exceed quality KPIs
• Collaborate effectively with diverse teams and cross-functional stakeholders (product management, experience, delivery)
• Develop solutions using rapid, inexpensive experimentation; favor action and evidence over extensive planning
• Use a “leaning-forward” approach to navigate complexity and uncertainty while delivering maintainable solutions
• Integrate diverse perspectives to balance feasibility, viability, usability, and value
• Support daily product deployments using full automation across discovery to production to operations with quality checks through the SSDLC lifecycle
• Engage with customers and product teams before, during, and after delivery to ensure the right solution at the right time
• Translate business and user needs plus architecture and UX/UI designs into technical specifications and implementation
• Inspire and influence teams with evidence-based trade-off discussions; create coherent technical narratives tied to business objectives
• Build constructive relationships and foster co-creation and shared momentum toward product goals

Requirements

• Bachelor’s degree in computer science, software engineering, data science, machine learning, or related discipline
• 6+ years of full-stack software engineering experience with most of: JavaScript/TypeScript, Angular, React, NodeJS, Python, SQL/NoSQL, REST/API integrations, ServiceNow application development and deployment patterns, LangChain, LangGraph, unit and integration testing frameworks
• 3+ years building AI/ML and agentic applications, including hands-on GenAI across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration; applied AI on platforms such as ServiceNow
• 3+ years cloud-native engineering experience using FaaS/PaaS/micro-services or enterprise platform deployment models, including Azure, AWS, GCP, and AI/ML services; includes ServiceNow NowAssist plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability)
• 1+ years establishing engineering standards, including leading, mentoring, and guiding teams in adoption and continuous improvement
• Prior software engineering experience with Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentation; AI-augmented spec-driven development
• Experience with methodologies/tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, Automated Test Framework (ATF), MLflow, and agentic AI frameworks (e.g., ServiceNow NASK, MCP, LangFuse, LangSmith, or equivalent multi-agent orchestration tools)
• ServiceNow engineering experience: platform architecture, workflow automation, integrations, and AI-enabled ServiceNow capabilities; ability to translate product needs into scalable enterprise solutions
• Preferred certifications may include ServiceNow Certified System Administrator, Certified Application Developer, CIS-HRSD, CIS-Data Foundations, CIS-ITSM, CIS-IRM, CIS-SPM, AI/GenAI-focused ServiceNow credentials, or relevant cloud/AI certifications
• Must be located within a commutable distance to the role location
• Ability to work in the local office at least 3 days per week

Technologies

• ServiceNow; JavaScript; TypeScript; Angular; React; NodeJS; Python; SQL; NoSQL
• REST/API integrations
• LangChain; LangGraph; OpenAI; Anthropic; RAG; vector databases
• ServiceNow NowAssist
• FaaS; PaaS; micro-services; Azure; AWS; GCP
• Infrastructure-as-code; FinOps accountability
• XP; Lean; DevSecOps; SRE; ADO; GitHub; SonarQube; Automated Test Framework (ATF); MLflow
• ServiceNow NASK; MCP; LangFuse; LangSmith; AI/ML services

Other

• Travel: 10% on average based on work and products built
• Immigration: limited immigration sponsorship may be available
• Location: Dallas, TX (onsite)
• Salary: USD 113,100 - 232,300 per year

The Successful Candidate Will Possess

• Excellent interpersonal and organizational skills; ability to handle diverse situations, complex projects, and changing priorities with passion, empathy, and care