Solutions Architect Engineer Jobs

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Lead Applied AI Engineer II - PxE ServiceNow

Deloitte Dallas, TX

Dallas, TX

Today

$113k - $232k/yr Full time Backend Developer API APIs

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Job Description

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

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