Enterprise AI Strategy Advisor

Doist; Montclair (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

Doist is seeking an experienced AI Strategy Advisor to shape enterprise AI adoption for large clients. You will translate complex AI concepts into actionable business strategies, bridging technical credibility with executive-level business outcomes.

You will guide governance, data readiness, and ecosystem integration, delivering roadmaps that align with client objectives and measurable ROI across multi-environment deployments.

Qualifications

• Audit client data infrastructure to determine readiness for AI models.
• Explain and justify LLM or architecture choices based on latency, privacy, and cost.
• Demonstrate credibility to assess client data pipelines and integration viability without coding.
• Ship multiple production agents with measurable accuracy and safety outcomes.
• Build reusable evaluation frameworks and guardrails adopted by others.

Responsibilities

• Present AI roadmaps and governance policies to C-suite or VP-level stakeholders with ROI framing.
• Design architecturally sound, tech-agnostic roadmaps for enterprise AI deployments.
• Lead ecosystem integration across large enterprise stacks and explain API/data synchronization constraints.
• Define SOW scoping and manage client expectations around billable hours and deliverables.
• Grow and scale the AI advisory practice, mentoring teams and expanding project portfolios.

Skills

AI architecture

Data readiness

LLM selection

Data pipelines

Production agents

Ecosystem evaluation

Tools

Salesforce

Sitetracker

Job description

Doist is seeking an experienced AI Strategy Advisor to shape enterprise AI adoption for large clients. You will translate complex AI concepts into actionable business strategies, bridging technical credibility with executive-level business outcomes.

You will guide governance, data readiness, and ecosystem integration, delivering roadmaps that align with client objectives and measurable ROI across multi-environment deployments.