Jobs · New Jersey

AI Consultant

Sitetracker · Montclair, NJ · 3 wk ago
HybridFull-time

About the Role

This is a career-defining opportunity to shape the future of AI adoption for enterprise clients. You will be instrumental in transforming vague AI aspirations into structured, high-ROI business strategies. In this highly visible, billable role, you will bridge the critical gap between complex AI capabilities and strategic business transformation, directly influencing C-suite decision-making and driving tangible business value.

Responsibilities

  • Deliver high-level strategic advisory that combines deep technical credibility with profound business acumen.
  • Engage directly with enterprise C-suites to translate complex AI concepts into clear ROI frameworks.
  • Guide organizations through AI governance and expertly manage risk.
  • Design architecturally sound, tech-agnostic roadmaps that ensure client AI ambitions can realistically deploy into their existing enterprise ecosystems.
  • Evaluate data architectures, LLMs, and integration viability without writing code.
  • Lead the initial implementation and delivery of an "AI Strategy Assessment" framework for key enterprise clients within 90 days.
  • Drive consistent billable utilization, meeting revenue targets and contributing to the growth of the professional services pipeline within 180 days.
  • Fully establish and scale a greenfield AI advisory practice within 365 days, becoming a recognized leader in transforming enterprise AI ambitions into tangible business outcomes.
  • Shape the long-term vision and evolution of AI consulting methodologies, mentoring future team members.

Skills

AI Architecture & Data Readiness Evaluation

  • Audit client data infrastructure, including pipeline bottlenecks and data hygiene, to determine readiness for specific AI models.
  • Fluently explain and justify the selection or rejection of specific LLMs or architectures based on business constraints like latency, privacy, and cost.
  • Assess client data pipelines and judge integration viability without needing to write code.
  • Ship multiple production agents with measurable accuracy and safety outcomes.
  • Build reusable evaluation frameworks, guardrail patterns, or agent templates adopted by others.

Strategic Enterprise Advisory

  • Present directly to C-suite or VP-level stakeholders, defending an AI roadmap, governance policy, or risk-mitigation strategy.
  • Translate complex technical AI concepts into clear financial ROI frameworks or business-value metrics that secure executive buy-in.
  • Guide organizations through critical AI governance and risk management discussions with executive presence.
  • Govern complex multi-environment organizations and establish robust administration standards and governance frameworks.
  • Navigate boundaries between managed packages and custom development within an Independent Software Vendor (ISV) context.

Ecosystem Integration & Mapping

  • Design and implement solutions that integrate with large, complex enterprise technology stacks.
  • Address challenges of pushing and pulling data between modern AI tools and core platforms like Salesforce.
  • Demonstrate clear understanding of API limitations, data synchronization complexities, and ecosystem guardrails in enterprise environments.
  • Lead a team through significant discipline or technology shifts, demonstrating adaptability and strategic leadership.
  • Build effective onboarding programs, upskilling initiatives, knowledge bases, or communities of practice.

Commercial Advisory & Value Scoping

  • Operate successfully in a billable, utilization-tracked environment, such as a professional services or consulting firm.
  • Accurately scope a Statement of Work (SOW) and manage client expectations around billable hours and deliverables.
  • Proactively discover and scope follow-on projects organically during an advisory engagement.
  • Quantify ROI and frame risk and oversight discussions for non-technical C-suite executives.
  • Shape a strategic roadmap that clearly delineates what aspects of a business to automate and what not to.

Milestones

Within 90 Days

  • Lead the initial implementation and delivery of the "AI Strategy Assessment" framework for key enterprise clients.
  • Engage with multiple C-suite stakeholders to identify high-impact AI use cases, assess data readiness, and build trust.
  • Contribute to the refinement of billable service offerings, ensuring accurate scoping and proactive client expectation management.

Within 180 Days

  • Drive consistent billable utilization, meeting initial revenue targets and contributing to the professional services pipeline.
  • Successfully complete and deliver several comprehensive AI Strategy Assessments, culminating in ecosystem-ready roadmaps.
  • Establish strong working relationships with internal product and engineering teams for strategic alignment.

Within 365 Days

  • Fully establish and scale the greenfield AI advisory practice, becoming a recognized leader in enterprise AI transformation.
  • Consistently exceed professional services revenue targets by identifying new opportunities and expanding engagement scope.
  • Shape the long-term vision and evolution of AI consulting methodologies, mentoring future team members.

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