AHEAD
AI Principal Consultant, AI Services
$250K–$300K
United States · Remote · Principal · Full-time · Posted Dec 4, 2025
- Experience
- Typically 7–12+ years; no alternative stated.
About the job
Leads enterprise client engagements to identify and prioritize AI opportunities, develop strategy and transformation roadmaps, and guide implementation toward measurable business impact.
What you'll do
- Lead AI and digital transformation engagements, teams, workstreams, and executive stakeholder discussions.
- Develop AI readiness assessments, use-case priorities, business cases, roadmaps, operating models, and governance approaches.
- Partner with technical teams to plan implementation and support proposals, account growth, and development of the AI Services practice.
What they ask for
- Typically 7–12+ years of experience in management consulting, technology advisory, digital transformation, enterprise technology, AI strategy, or related client-facing roles.
- Proven experience leading client engagements, workstreams, or project teams with senior business and technology stakeholders.
- Strong structured problem-solving, executive communication, and facilitation skills, including preparation and presentation of senior-leadership-ready materials.
- Experience in at least one relevant area such as AI strategy, digital transformation, business case development, process redesign, automation, operating model design, or AI governance; sufficient AI and technology fluency to work with business and technical teams.
Nice to have
- Background in top-tier management consulting, Big 4 advisory, technology consulting, enterprise transformation, or a similar professional services environment.
- MBA or other advanced degree; experience with AI, data, cloud, software delivery, MLOps, responsible AI, enterprise platforms, implementation, or practice growth.
Pay
USD 250,000–300,000 per-year-salary; OTE, including base salary and any applicable target bonus amount
Tools
AI, generative AI, agentic AI, MLOps, cloud
AI focus
Advises enterprise clients on AI strategy, use-case prioritization, readiness, governance, responsible scaling, implementation planning, and measurable value realization.
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