AI Consultant

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

• Move beyond traditional software configuration to deliver high-level strategic advisory that combines deep technical credibility with profound business acumen.
• Engage directly with enterprise C-suites, translating complex AI concepts into clear ROI frameworks, guiding organizations through AI governance, and expertly managing risk.
• Design architecturally sound, tech-agnostic roadmaps that ensure client AI ambitions can realistically deploy into their existing enterprise ecosystems.
• Audit client data infrastructure, including pipeline bottlenecks and data hygiene, to determine its readiness for specific AI models.
• Fluently explain and justify the selection or rejection of specific LLMs or architectures based on critical business constraints like latency, privacy, and cost.
• Assess client data pipelines and judge integration viability without needing to write code.
• 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.
• Design and implement solutions that integrate with large, complex enterprise technology stacks, addressing API limitations, data synchronization complexities, and ecosystem guardrails.
• Operate successfully in a billable, utilization-tracked environment, accurately scoping Statements of Work (SOW) and managing client expectations.
• Proactively discover and scope follow-on projects organically during an advisory engagement, driving ongoing revenue streams.
• 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.

Key milestones

• Within 90 Days:
  • Lead the initial implementation and delivery of the "AI Strategy Assessment" framework for key enterprise clients, establishing immediate value.
  • Engage with multiple C-suite stakeholders to identify high-impact AI use cases, assess data readiness, and begin building trust as a strategic advisor.
  • Contribute to the refinement of billable service offerings, ensuring initial projects are accurately scoped and client expectations are proactively managed.
• Within 180 Days:
  • Drive consistent billable utilization, meeting initial revenue targets and contributing significantly to the growth of the professional services pipeline.
  • Successfully complete and deliver several comprehensive AI Strategy Assessments, culminating in architecturally sound, ecosystem-ready roadmaps for clients.
  • Establish strong working relationships with internal product and engineering teams, ensuring strategic alignment between client needs and solution capabilities.
• Within 365 Days:
  • Fully establish and scale the greenfield AI advisory practice, becoming a recognized leader in transforming enterprise AI ambitions into tangible business outcomes.
  • Consistently exceed professional services revenue targets, identifying new opportunities and expanding the scope of strategic engagements.
  • Shape the long-term vision and evolution of AI consulting methodologies, mentoring future team members and solidifying the company’s position as a premier AI transformation partner.

Skills

• AI Architecture & Data Readiness Evaluation:
  • Ship multiple production agents with measurable accuracy and safety outcomes, demonstrating a clear production track record.
  • Build reusable evaluation frameworks, guardrail patterns, or agent templates that have been adopted by others.
• Strategic Enterprise Advisory:
• Govern complex multi-environment organizations and establish robust administration standards and governance frameworks.
• Navigate the boundaries between managed packages and custom development within an Independent Software Vendor (ISV) context.
• Ecosystem Integration & Mapping:
  • Speak intelligently to the challenges of pushing and pulling data between modern AI tools and core platforms like Salesforce.
  • Lead a team through a significant discipline or technology shift, demonstrating adaptability and strategic leadership.
  • Build effective onboarding programs, upskilling initiatives, knowledge bases, or communities of practice that enhance ecosystem proficiency.
• Commercial Advisory & Value Scoping:
  • Detail past experience operating successfully in a billable, utilization-tracked environment, such as a professional services or consulting firm.
  • Share specific examples of accurately scoping a Statement of Work (SOW) and managing client expectations around billable hours and deliverables.