Senior Technical Consultant – AI

Job not on LinkedIn

🕒 July 30

🇺🇸 United States – Remote

💵 $140k - $170k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AHEAD

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

💰 $5.7M Venture Round - AHEAD on 2024-05

Consulting • Artificial Intelligence • Enterprise

AHEAD is a technology consulting and systems-integration firm that accelerates digital transformation by engineering integrated solutions across infrastructure, applications, data, and security. The company specializes in AI transformation and AI-enabled infrastructure, data platform and platform/workload modernization, secure and resilient architectures, operational excellence, and managed services including IT lifecycle and procurement (AHEAD Hatch) and hardware integration (AHEAD Foundry). AHEAD delivers end-to-end services from strategy and financial consulting to build and run operations, partners with major cloud and infrastructure vendors (AWS, Google Cloud, Microsoft, Cisco, Dell, VMware, NVIDIA, ServiceNow, Palo Alto Networks, Rubrik, etc. ), and serves enterprise clients across industries such as healthcare, financial services, manufacturing, retail, and public sector.

📋 Description

• Translate business outcomes and documented requirements into AI solutions that are secure, governed, explainable, and aligned to platform best practices • Identify and qualify AI use cases with clients, assessing data readiness, deflection or cycle‑time potential, risk tolerance, and human‑in‑the‑loop requirements • Conduct client and internal demos of Now Assist, AI Agents, AI Control Tower and agentic workflows • Actively participate in Agile ceremonies, flagging technical and AI‑specific risks • Build and extend Now Assist skills, AI Agents, agentic workflows, and orchestration logic • Develop the supporting platform foundation and configure/tune predictive intelligence models • Establish evaluation discipline: baseline metrics, golden datasets, regression test suites • Own defect resolution during UAT and hyper‑care, including model and prompt performance issues • Coach junior developers on AI fundamentals and coordinate daily development tasks • Lead AI delivery across at least one product suite beyond core platform work • Contribute lessons learned, benchmarks, and technical articles to internal knowledge bases

🎯 Requirements

• 6+ years in the ServiceNow domain, with meaningful recent time spent building AI‑enabled solutions in production • ServiceNow AI depth – Now Assist, AI Agent Studio and AI Agent Orchestrator, Now Assist Skill Kit, AI Search, Predictive Intelligence, Document/Task Intelligence, Virtual Agent and NLU, AI Control Tower, and Generative AI Controller • Data foundation fluency – Understands that AI outcomes track data quality; comfortable with Workflow Data Fabric, CMDB/CSDM health, knowledge governance, and taxonomy design as prerequisites rather than afterthoughts • Core‑platform expertise – Integrations, Integration Hub, Flow Designer, Service Portal, UI Builder and Workspaces, imports, plus an architecture mindset for performance, scalability, and clean upgrades • Hands‑on coding – Advanced JavaScript and Glide APIs, REST integration design and consumption, auth schemes, and data pipelines; strong vanilla JavaScript fundamentals with testing habits and version‑control discipline • Applied AI craft – Prompt engineering and iteration, retrieval and grounding patterns, tool/function calling, agent decomposition and orchestration, and a working grasp of where LLMs fail and how to contain it • Evaluation and measurement rigor – Defines success metrics before building, tests systematically, and reports honest results including negative ones • Responsible AI judgment – Practical command of data privacy, access control, auditability, bias and hallucination risk, and the governance conversations that come with them • Product depth – Proven leadership in at least one suite beyond core ITSM and Service Portal • Collaborative mentor and lifelong learner – Explains AI concepts simply to non‑technical stakeholders, calibrates expectations against hype, and stays current in a space that changes quarterly • ServiceNow certifications – CSA, CAD, CIS, and AI‑related micro‑certifications are welcome, though demonstrated hands‑on expertise is valued more highly than credentials • Broader tech stack awareness – Familiarity with LLM providers and APIs, vector search and RAG architectures, MCP, cloud platforms, DevOps toolchains, or analytics outside the ServiceNow ecosystem.

🏖️ Benefits

• Medical, Dental, and Vision Insurance • 401(k) • Paid company holidays • Paid time off • Paid parental and caregiver leave • Plus more! See benefits https://www.aheadbenefits.com/ for additional details.