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

In this unique role, you will move beyond traditional software configuration to deliver high-level strategic advisory that combines deep technical credibility with profound business acumen. Your primary deliverable will be strategy—not code.

• Engage directly with enterprise C-suites, translating 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.
• 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 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, including platforms like Salesforce.
• 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, 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.

Milestones

Within 90 Days, You'll

• Lead the initial implementation and delivery of our "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 directly to the refinement of our billable service offerings, ensuring initial projects are accurately scoped and client expectations are proactively managed.

Within 180 Days, You'll

• 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 our solution capabilities.

Within 365 Days, You'll

• Fully establish and scale our 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 our strategic engagements.
• Shape the long-term vision and evolution of our AI consulting methodologies, mentoring future team members and solidifying our position as a premier AI transformation partner.

Qualifications

Demonstrated expertise in the following areas:

• Shipped multiple production agents with measurable accuracy and safety outcomes, demonstrating a clear production track record.
• Built reusable evaluation frameworks, guardrail patterns, or agent templates that have been adopted by others.
• Governed complex multi-environment organizations and established robust administration standards and governance frameworks.
• Navigated the boundaries between managed packages and custom development within an Independent Software Vendor (ISV) context.
• Led a team through a significant discipline or technology shift, demonstrating adaptability and strategic leadership.
• Built effective onboarding programs, upskilling initiatives, knowledge bases, or communities of practice that enhance ecosystem proficiency.

Skills

• AI Architecture & Data Readiness Evaluation: Assess data pipelines, evaluate LLM/architecture suitability, and determine integration viability.
• Strategic Enterprise Advisory: Present to C-suite stakeholders, translate technical concepts into ROI frameworks, and guide AI governance.
• Ecosystem Integration & Mapping: Design solutions for complex enterprise stacks, understand API/data synchronization challenges, and leverage platforms like Salesforce.
• Commercial Advisory & Value Scoping: Operate in billable environments, scope SOWs, manage client expectations, and drive follow-on revenue.