AI Business Partner

What you'll do: AI Opportunity Identification & Prioritization - Identify high-value opportunities to apply generative AI across workflows, deliverables, and business processes. - Translate strategic priorities and business challenges into clearly scoped AI use cases, pilots, and solution concepts. - Assess opportunities based on business value, feasibility, user needs, adoption potential, and risk. - Partner with leaders and subject matter experts to prioritize initiatives that can drive meaningful efficiency, quality, or innovation gains.

Prototyping & Solution Development - Build and iterate on working prototypes, pilots, and lightweight AI-enabled tools using modern development environments, LLM APIs, agentic workflows, and related technologies. - Design prompts, workflows, and tool interactions that guide AI behavior toward accurate, useful, and contextually relevant outcomes. - Test solutions quickly, incorporate user feedback, and refine prototypes based on real-world usage and evolving requirements. - Move ideas from concept to demonstrable value, balancing speed, practicality, and quality.

Cross-Functional Delivery & Scaling - Partner closely with AI technical teams, engineering, product, and business stakeholders to transition validated prototypes into scalable, production-ready solutions where appropriate. - Help define requirements, document learnings, and support handoffs that enable successful implementation and longer-term sustainability. - Work across technical and non-technical teams to align on priorities, solution design, success metrics, and rollout approach. - Use strong judgment to determine when to continue iterating independently and when to engage specialized technical partners.

Adoption, Enablement & Change Management - Support successful adoption of AI solutions by creating practical guidance, training, onboarding materials, and usage playbooks. - Communicate AI concepts, capabilities, and limitations in clear, accessible language for non-technical audiences. - Help build AI fluency across the organization by enabling teams to use tools responsibly and effectively in their day-to-day work. - Foster a culture of experimentation, continuous learning, and practical innovation.

Governance, Quality & Responsible AI - Help ensure AI solutions are designed and applied in ways that are responsible, compliant, and appropriate for a regulated healthcare communications environment. - Incorporate considerations related to privacy, safety, quality, transparency, and human oversight into solution design and rollout. - Partner with relevant stakeholders to align AI use with organizational standards, governance expectations, and evolving best practices. - Promote thoughtful experimentation while maintaining appropriate safeguards and quality controls.

Domain Expertise Application - Apply strong understanding of healthcare communications, including advertising, activation, communications, and medical domains, to shape relevant and impactful AI solutions. - Ensure solutions reflect real-world workflows, stakeholder needs, and the nuances of regulated client environments. - Translate domain knowledge into practical requirements that improve usability, relevance, and business fit.

What you should have: - Bachelor's degree, preferably in Computer Science, Data Science or related engineering discipline, or equivalent practical experience in a relevant field. - Experience in AI innovation, product, or a related area (e.g., Claude Code, Cursor). - Experience in digital strategy, consulting, healthcare communications, or a related area (e.g., Claude Code, Cursor). - Hands-on experience building, testing, and iterating on generative AI workflows, prototypes, copilots, agents, or similar solutions. - Familiarity Proficiency with LLM APIs, prompting strategies, AI-assisted development environments, and modern tools used to prototype AI-enabled workflows. - Strong ability to translate ambiguous business needs into practical, testable AI use cases and solution concepts. - Excellent communication and stakeholder management skills, with the ability to work effectively across technical and non-technical audiences.

Exceptional communication and stakeholder management skills, with a proven ability to influence and collaborate effectively across technical and non-technical audiences with the ability to translate technical concepts for a non-technical audience - Strong problem-solving, prioritization, and execution skills in fast-moving, ambiguous environments. - Ability to evaluate solutions through the lens of usefulness, risk, quality, and business impact.

Skills and Competencies - Agentic Workflows; AI - Artificial Intelligence; Large Language Models (LLMs); Machine Learning - Coding; Programming Languages; Software Engineering - Product Demonstration; Technical Troubleshooting - Implementation Management; Solution Delivery; Solution Design - Client Relationship Management; Problem Analysis; Workflow Analysis This position is crucial in driving the execution of AI strategies at Real Chemistry, ensuring that AI initiatives are not only innovative but also practical, effective, and aligned with real-world needs.

The chosen candidate will play a pivotal role in enhancing the organization's capabilities and fostering a culture of AI-driven innovation and continuous improvement.

Pay Range: $150,000-$170,000 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on job-related, non-discriminatory factors including but not limited to work experience, skills, certifications, and geographical location.