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Partner Technical Advisor - AI

Job in Addison, Dallas County, Texas, 75001, USA
Listing for: ServiceNow
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI‑enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud‑based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

Service Now is seeking a Partner Technical Advisor — AI to drive AI‑enabled partner growth through deep, AI/ML architecture expertise, strategic business development, and ecosystem‑wide thought leadership. This is a senior technical strategist role focused on helping partners build differentiated AI‑powered solutions on the Service Now platform — from agent architecture and model selection through RAG design, multimodal AI, and AI‑first solution commercialization.

Your expertise extends beyond Service Now capabilities to encompass the full AI ecosystem — foundation models, open‑source frameworks, competing platforms — enabling you to guide partners on hybrid architectures and multi‑vendor AI strategies that position Service Now as the enterprise AI platform of choice.

What You’ll Do

What You’ll Do

As an AI Partner Technical Advisor, you will serve as the go‑to AI architecture expert for the partner ecosystem, driving deep technical co‑innovation & commercial success for AI‑powered partner solutions.

AI Architecture & Solution Co‑Creation

Provide expertise across agentic AI architectures, multi‑agent orchestration, RAG, and multimodal AI; build reusable co‑innovation assets including solution templates, vertical blueprints, etc; and influence AI product roadmap via structured feedback loops with product teams.

Pipeline & Revenue Growth

Lead AI technical workshops and executive engagements with CAIO/CDO/CTO & co‑design solution architectures; execute strategic proofs of concept(s), deliver tailored demonstrations of Now Assist and AI Agents, remove technical blockers at critical deal milestones.

Partner AI Capability Building

Design and deliver AI architecture training, workshops, and executive briefings that build partner capability; mentor partner architects on AI engineering, prompt design, and agent development; assess and mature partner AI competencies; and represent Service Now’s AI innovation at industry events and thought leadership forums.

Business Growth & Value Realization

Collaborate with Partner Technical Advisors on AI‑focused joint business planning, guide partners from concept to commercialization while connecting AI architecture to measurable business outcomes—efficiency gains, revenue impact, and ROI—with clear monetization pathways and value narratives.

AI Ecosystem Intelligence

Maintain expert‑level knowledge of the broader AI ecosystem—OpenAI, Google, Microsoft, AWS, Anthropic, and open‑source frameworks; foundational to intermediate data & analytics knowledge; foundational knowledge to ensure responsible AI design with governance and safety guardrails.

Qualifications
  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision‑making, or problem‑solving.
  • 8+ years pre‑sales, solution architecture, or technical consulting experience with proven success leading technical discovery, POCs, and partner workshops.
  • 5+ years hands‑on experience with AI/ML architecture, model development, and deployment; deep expertise in foundation models, agent frameworks, and RAG architectures.
  • Expert‑level knowledge of enterprise platform architecture and AI capabilities; experience with cloud infrastructure (AWS, Azure, GCP).
  • Demonstrated understanding of the broader AI ecosystem beyond any single platform, including major AI providers and open‑source frameworks.
  • Deep expertise in AI adoption patterns for at least two industry verticals (e.g., Financial Services, Healthcare, Manufacturing, Public Sector).
  • Proven experience engaging with…
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