Artificial Intelligence Specialist

AI Innovation & Enablement Analyst (Early Career)

Location:

New York, NY About the Role

Cantor is looking for a motivated, curious, and AI‑savvy early‑career professional to help drive responsible AI adoption across the firm. As an AI Innovation & Enablement Analyst, you’ll act as an internal Ambassador of AI, responsible for identifying opportunities, evaluating emerging tools, and helping different business groups understand where AI can meaningfully improve workflow, communication, marketing, and overall productivity.

This is an ideal role for someone who is passionate about AI but agnostic to specific tools, eager to experiment, and excited to translate rapidly evolving technologies into practical, business-ready solutions.

• Continuously explore the latest AI tools and platforms—LLMs, generative tools, automation, copilots, AI-enhanced productivity apps.
• Assess the usability, security, and business value of new AI capabilities.
• Make recommendations about tools that should be integrated into Cantor’s technology ecosystem.

• Partner with business units to understand pain points and identify where AI can streamline processes, enhance communication, or automate manual tasks.
• Help teams prototype and test AI-driven solutions and workflows.
• Translate technical concepts into simple, actionable guidance for non-technical stakeholders.

• Leverage AI to help create quick‑turn content—presentations, summaries, marketing materials, internal communications, and data visualizations.
• Support brand and messaging alignment while accelerating output with AI‑assisted workflows.
• Serve as an internal champion for responsible AI use.
• Develop lightweight guides, demos, and playbooks to help teams adopt AI safely and effectively.
• Track success metrics and build case studies that show value and ROI.

• Strong interest in generative AI, automation, and emerging technologies.
• Ability to speak the language of AI at a high level—prompts, models, use cases—without needing to be an engineer.
• Curiosity-driven mindset with a willingness to experiment, learn, and iterate.
• Strong communication skills with the ability to translate technical concepts to a business audience.
• Creative problem‑solving skills and comfort working across diverse teams.
• Familiarity with prompt engineering and major AI platforms (OpenAI, Microsoft Copilot, Gemini, Claude, etc.) is a plus.
• Technically proficient, entrepreneurial, and highly driven

• Hands‑on experience shaping how AI is adopted across a major financial institution.
• Exposure to multiple business lines and leadership teams.
• Opportunity to build a portfolio of real AI use cases and impact stories early in your career.
• A launchpad into future roles in product, strategy, innovation, digital transformation, or data/AI leadership.