Job Specifications
GenAI Engineer
Contract-to-Perm (90 days)
Location: Nashville, TN
On-site M-F, 7-3 initially. Will move to 3-days on-site
We are seeking a highly motivated GenAI Architect (ServiceNow AI Agent) to join a growing technology organization in Nashville, TN. This is a hands-on, contract-to-permanent role focused on transforming BPO-driven and shared service operations into Generative AI-powered automation solutions.
Initial onsite presence is required during training, followed by a hybrid schedule of three days per week onsite once fully ramped. This role is ideal for an experienced automation or AI architect with strong ServiceNow AI Agent expertise who wants ownership of enterprise-scale GenAI transformation initiatives.
Position Summary
The GenAI Architect (ServiceNow AI Agent) leads the end-to-end transformation of manual, rule-based, and BPO-supported processes into AI-driven automation platforms.
This role owns architecture, migration strategy, implementation, and stabilization of GenAI-powered automation initiatives. Success in this position requires deep hands-on experience with ServiceNow AI Agent in production, strong Generative AI design skills, and direct experience modernizing shared services or BPO operations using AI technologies.
Acting as the technical lead, this role makes key design decisions, ensures business continuity during migration, and delivers scalable, enterprise-grade AI automation solutions.
This position reports to senior leadership based in New York City.
Principal Duties and Responsibilities
GenAI Automation & Migration Leadership
Lead migration of BPO and shared service operations from manual or rule-based processes to GenAI-driven automation
Assess current-state workflows and design future-state AI-enabled operating models
Define migration strategy, phases, risks, fallback mechanisms, and success metrics
Ensure stable rollout with minimal disruption to business operations
GenAI Architecture & Solution Design
Design and implement Generative AI-based automation architectures
Define conversational AI flows, orchestration logic, and human-in-the-loop controls
Establish AI governance standards for accuracy, explainability, and risk management
Evaluate and select appropriate GenAI technologies and implementation approaches
Enterprise Automation Platform Implementation
Architect and implement AI-driven automation using ServiceNow AI Agent as a core enterprise platform
Define reusable patterns, templates, and best practices for AI-enabled workflows
Ensure solutions are scalable, secure, and production-ready
Integration & Data Enablement
Design and oversee integrations with enterprise systems (e.g., SAP, Snowflake, internal platforms)
Ensure secure, reliable data pipelines supporting AI-driven decision-making
Define logging, monitoring, and observability standards for AI automation solutions
Technical Leadership
Serve as the technical authority for GenAI automation initiatives
Lead architecture and design reviews; approve key technical decisions
Mentor engineers and collaborate with global teams and vendors
Translate business requirements into scalable, AI-driven technical solutions
Required Knowledge And Experience (Must Have)
6+ years of experience in enterprise application development, automation, or AI-driven systems
Hands-on production experience with ServiceNow AI Agent, including design, implementation, and deployment
Proven experience transforming BPO or shared service operations using AI technologies
Strong hands-on experience designing and implementing Generative AI solutions
Experience leading enterprise automation or migration initiatives
Ability to independently define architecture, make technical decisions, and lead delivery
Technical Competencies
Generative AI fundamentals (LLMs, prompt design, orchestration, evaluation, risk mitigation)
ServiceNow customization and scripting (JavaScript)
API-based integrations and enterprise data flow design
Conversational AI, workflow orchestration, and human-in-the-loop patterns
Preferred Qualifications (Nice To Have)
Experience with Microsoft Copilot and Copilot Studio
Experience with Azure AI Foundry or Azure-based GenAI platforms
Experience designing multi-platform GenAI architectures
Familiarity with enterprise data platforms (e.g., Snowflake, SAP)
Experience working with global or offshore teams
Prior experience as a Technical Lead, Architect, or Principal Engineer
Education
Bachelor’s degree in Computer Science, Information Systems, or equivalent practical experience
AI, cloud, or automation-related certifications preferred
Compensation
Base salary: $130,000 – $140,000 (based on experience)
Bonus: Up to 5% annually (pro-rated through fiscal year ending March 31, 2027)
Benefits
100% company-paid Medical, Dental, and Vision insurance ($0 deductible)
401(k) with up to 4% employer match and profit-sharing plan
Generous paid time off and holidays
Short-term disability and salary continuation
Voluntary