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Today

Lead Applied AI Engineer II - ServiceNow

Deloitte Hermitage, TN

Hermitage, TN

Today

$113k - $232k/yr Full time Backend Developer Manager Agentic Ai

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Job Description

Join Deloitte to lead applied AI and agentic engineering work for high-visibility, full-stack products, with end-to-end delivery from concept through production.

Responsibilities

Drive a culture of accountability for customer and business outcomes, including the cost of achieving them.
Design and deliver engineering solutions for complex problems with valuable outcomes, emphasizing high-quality, lean designs and implementations.
Own inference, token, and cloud cost for what you build.
Act as a technical advocate to ensure code integrity, feasibility, and alignment with business and customer goals.
Lead requirement analysis; produce low-level architecture and component design.
Own development, testing, integrations, and ongoing support for delivered components.
Maintain accountability for the integrity of architecture and technical stack against enterprise standards and strategy.
Manage dependencies and take responsibility for code design, implementation, quality, data, and ongoing maintenance and operations.
Stay hands-on, self-directed, and continuously learn new approaches, languages, and frameworks.
Create technical specifications and write scalable, supportable code.
Review engineers’ code, mentor team members, and help ensure all quality KPIs are met or exceeded.
Use collaborative communication to work effectively across diverse teams.
Build lean solutions using rapid, inexpensive experimentation to address customer needs.
Engage with customers and product teams before, during, and after delivery to ensure timely delivery of the right solution.
Adopt an evidence-led, action-oriented approach to address complexity and uncertainty.
Collaborate with empowered cross-functional teams including product management, experience, and delivery.
Balance feasibility, viability, usability, and value by integrating diverse perspectives and driving consensus.
Demonstrate deep expertise in modern software engineering practices, including AI and Agentic SSDLC, to enable daily product deployments with full automation from discovery to production to operations and quality checks across the SSDLC lifecycle.
Serve as a role model for solutioning and product delivery using these techniques.
Build domain knowledge quickly and translate business and user needs, architectures, and UX/UI designs into technical specifications and code.
Support teammates, prioritize quality, and focus on tech debt payoff.
Communicate complex technical concepts clearly and influence teammates and product teams through evidence-backed trade-offs.
Create coherent technical narratives that align solutions with business objectives.
Collaborate with product engineering teams at all organizational levels, including customers as needed.
Build and maintain constructive relationships to foster co-creation and shared momentum toward product goals.
Align perspectives and drive consensus on feasible solutions.

Requirements

Bachelor’s degree in computer science, software engineering, data science, machine learning, or a related discipline.
6+ years of full-stack software engineering experience, including most of: JavaScript/TypeScript, Angular, React, NodeJS, Python, SQL/NoSQL, REST/API integrations, ServiceNow application development and deployment patterns, LangChain, LangGraph, and 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, plus applied AI capabilities on 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 such as ServiceNow NowAssist, along with application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).
1+ years establishing engineering standards, including leading, mentoring, and guiding adoption and continuous improvement.
Software engineering experience with Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, plus 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 (for example ServiceNow NASK, MCP, LangFuse, LangSmith, or equivalent multi-agent orchestration tools).
ServiceNow engineering experience including platform architecture, workflow automation, integrations, and AI-enabled ServiceNow capabilities, with 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 commutable distance to the role location.
Ability to work in the local office at least 3 days per week.

Technologies

JavaScript/TypeScript, Angular, React, NodeJS, Python, SQL/NoSQL
REST/API integrations, ServiceNow application development and deployment patterns
LangChain, LangGraph
OpenAI, Anthropic, RAG pipelines, prompt engineering, vector databases, AI agent orchestration
ServiceNow, ServiceNow NowAssist, infrastructure-as-code, FinOps
FaaS, PaaS, micro-services; Azure, AWS, GCP
Business Context Diagrams (BCD), OOP/OOD, data structures, algorithms, code instrumentations
Unit and integration testing frameworks, XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube
Automated Test Framework (ATF), MLflow
ServiceNow NASK, MCP, LangFuse, LangSmith
ServiceNow certifications including System Administrator and Certified Application Developer; CIS-HRSD, CIS-Data Foundations, CIS-ITSM, CIS-IRM, CIS-SPM; AI/GenAI-focused ServiceNow credentials

Other

Travel: 10% average, based on work and products built.
Limited immigration sponsorship may be available.
Must be located within commutable distance and work onsite minimum of 3 days per week.

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1d ago

Lead Applied AI Engineer II - PxE ServiceNow

Deloitte Dallas, TX

Dallas, TX

1d ago

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

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Job Description

Deloitte is hiring a ServiceNow Lead Applied AI Engineer II to design and deliver full-stack, outcome-focused products that incorporate applied GenAI and agentic capabilities. The role is onsite in Dallas and includes end-to-end technical ownership, from architecture and development to testing, integrations, and support.

Role Responsibilities

Drive a culture of accountability for customer and business outcomes, including the cost of achieving them.
Build engineering solutions for complex problems with valuable outcomes, maintaining high-quality, lean design and implementation while owning inference, token, and cloud cost.
Act as the technical advocate for products, ensuring code integrity, technical feasibility, and alignment to business and customer goals.
Lead requirement analysis, low-level architecture and component design, development, testing, integrations, and ongoing support.
Maintain accountability for architecture and technical stack integrity against enterprise standards and strategy.
Manage dependencies, code design, implementation, quality, data, and long-term maintenance and operations.
Stay hands-on and self-directed, continuously learning new approaches, languages, and frameworks.
Create technical specifications and produce high-quality, supportable, scalable code while reviewing other engineers’ work and mentoring to meet or exceed quality KPIs.
Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery, integrating diverse perspectives to balance feasibility, viability, usability, and value.
Use rapid, low-cost experimentation to develop lean engineering solutions and favor action and evidence over extensive planning.
Engage with customers and product teams before, during, and after delivery to help ensure the right solution at the right time.
Demonstrate deep expertise in modern software engineering practices, including AI and agentic SSDLC, with automated delivery from discovery through production and operations with quality checks across the SSDLC lifecycle.
Provide leadership through well-structured arguments and evidence-based trade-offs, and translate business and user needs, architectures, and UX/UI designs into technical specifications and code.
Foster a co-creation environment and build constructive relationships to support shared momentum toward product goals.

Requirements

Bachelor’s degree in computer science, software engineering, data science, machine learning, or a 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, and unit/integration testing frameworks.
3+ years building AI/ML and agentic applications, including hands-on GenAI with LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, AI agent orchestration, and applied AI capabilities on platforms such as ServiceNow.
3+ years of cloud-native engineering experience using FaaS, PaaS, micro-services, or enterprise platform deployment models, including Azure, AWS, GCP and their AI/ML services, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).
1+ years establishing engineering standards, actively leading, mentoring, and guiding 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 instrumentations, including AI-augmented spec-driven development.
Prior experience using methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, Automated Test Framework (ATF), MLflow, and agentic AI frameworks (for example, ServiceNow NASK, MCP, LangFuse, LangSmith, or equivalent multi-agent orchestration tools).
ServiceNow engineering experience, including platform architecture, workflow automation, integrations, and AI-enabled ServiceNow capabilities, with the 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.
Candidates must be located within a commutable distance to the Dallas, TX onsite location.
Ability to work in the local office at a minimum of 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

Additional Information

Ability to travel 10% on average, based on work and products built.
Limited immigration sponsorship may be available.

Location and Compensation

Location: Dallas, TX (onsite)
Compensation: USD 113,100 - 232,300 per year

What The Successful Candidate Will Possess

Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities while demonstrating passion, empathy, and care.

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Lead Applied AI Engineer II - ServiceNow

Lead Applied AI Engineer II - PxE ServiceNow

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