Generative AI Engineer

AI Solutions Leader

Job Summary

The AI Solutions Leader is responsible for driving measurable business value through AI initiatives across the organization. This role partners with business leaders to identify high-value problems, shape feasible AI approaches, and lead delivery with a focus on iterative, outcome-driven solutions. Key responsibilities include leading AI initiatives from concept to deployment, ensuring alignment with business priorities, and maintaining a pragmatic approach to applied AI. This position is critical to advancing the organization’s AI strategy and fostering scalable, high-impact solutions.

Key Responsibilities

• Lead AI initiatives from ideation to measurable outcomes, ensuring business value is realized.
• Partner with stakeholders to clarify decisions, workflows, and operational constraints.
• Translate ambiguous problems into actionable AI initiatives that are practical and scalable.
• Define, maintain, and evolve the Applied AI roadmap, prioritizing initiatives based on business impact.
• Evaluate and select AI approaches, including:
  • AI agents and copilots
  • LLM-driven automation and reasoning
  • Computer vision applications
  • Traditional machine learning and data-driven techniques
• Balance short-term wins with long-term capability building, adapting strategies as business needs, data readiness, and technology evolve.
• Monitor solution adoption, performance, and health while ensuring governance, security, and responsible AI practices are maintained.
• Lead and mentor a small team of AI developers, data engineers, or analysts (1–5 direct reports).

Minimum Education & Experience Requirements

• Bachelor’s degree in Computer Information Systems, Data Science, or a related field, or equivalent demonstrable experience.
• Minimum of 7 years of relevant experience, including at least 3 years in product management, facilitation, or leadership roles.
• Proven experience in AI-driven customer service solutions and applied AI initiatives.
• Hands‑on experience with cloud‑based AI and analytics platforms (e.g., Microsoft Azure, Power Platform, or equivalent).

Special Requirements

• Familiarity with AI governance, data privacy, security practices, and responsible AI principles.
• Experience evaluating AI technologies for business value, feasibility, and scalability.
• Ability to guide technical teams without necessarily writing production code.

Knowledge, Skills, and Abilities

• Strong understanding of applied AI techniques, including LLM‑based automation, AI agents, traditional ML, and computer vision fundamentals.
• Excellent stakeholder management and communication skills, including the ability to influence executives and cross‑functional teams.
• Business acumen to translate organizational objectives into actionable AI initiatives.
• Competency with roadmap planning, prioritization, and measuring initiative success.
• Analytical and problem‑solving skills with the ability to balance technical feasibility and business value.
• Proficiency in Microsoft analytics and AI ecosystem tools or similar platforms.

Additional Desired Characteristics

• Experience leading AI initiatives across multiple projects or business units.
• Familiarity with cost optimization, value realization, and ROI measurement for AI solutions.
• Ability to thrive in a hybrid or fast‑paced, iterative delivery environment.

Work Environment

• Hybrid role with work performed both in an office and remotely; office environment with normal noise levels.
• Involves prolonged periods of sitting and computer usage.
• Reasonable accommodations may be made for individuals with disabilities.

Other Duties

• This job description is not exhaustive. Other duties may be assigned as needed to support the organization’s objectives.