AI Product | AI Solutions Consultant

Role overview

Product and solution responsibilities

• Identify AI, machine learning, generative AI, automation, and analytics opportunities; gather business, functional, technical, and data requirements.
• Develop AI product concepts, architectures, use cases, implementation plans, product strategies, roadmaps, features, priorities, and success metrics.
• Recommend technologies, models, platforms, APIs, and deployment approaches; collaborate with technical and business teams to deliver solutions.
• Develop proposals, business cases, demonstrations, and proof-of-concept concepts; support pre-sales and answer customer technical questions.
• Define product requirements, user stories, acceptance criteria, workflows, and specifications; coordinate pilots and prioritization.
• Evaluate solutions for accuracy, usability, scalability, performance, cost, security, and business impact; monitor adoption and outcomes.
• Research markets and emerging technologies; assess feasibility, risks, costs, and return on investment.
• Work with security, legal, compliance, and data teams on responsible AI, privacy, governance, and risk; document requirements and implementation processes.
• Coordinate multiple initiatives against agreed scope, timelines, budgets, and business objectives.

Required qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, Business, or a related field.
• Experience in AI product management, AI consulting, solution or technology consulting, product development, business analysis, or a similar role.
• Strong understanding of AI, machine learning, generative AI, automation, and data-driven solutions.
• Ability to translate business problems into AI use cases and solution requirements; experience gathering and documenting functional and technical requirements.
• Understanding of product development, roadmaps, prioritization, and lifecycle management; experience working across technical and business teams.
• Familiarity with AI/ML concepts, APIs, cloud platforms, data pipelines, and software-development processes.
• Strong analytical, problem-solving, client communication, presentation, business, project coordination, stakeholder management, writing, and documentation skills.
• Ability to explain complex AI concepts to technical and non-technical audiences and evaluate options for business value, feasibility, scalability, security, and cost.

Advantageous qualifications

• Knowledge of LLMs, NLP, computer vision, predictive analytics, recommendation systems, or intelligent automation is an advantage.
• Familiarity with AWS, Microsoft Azure, Google Cloud, OpenAI, or similar platforms is beneficial.
• Familiarity with responsible AI, data privacy, AI governance, and technology-risk principles is an advantage.
• AI, cloud, product-management, or technology-consulting certifications are advantageous.

What the employer offers

• Competitive salary and comprehensive employee benefits.
• Work on AI products and enterprise transformation projects, with exposure to generative AI, machine learning, automation, analytics, and emerging technologies.
• Client interaction, professional development, modern platforms and tools, certification support, and opportunities to contribute to products and implementations.
• Career progression opportunities include Senior AI Solutions Consultant, AI Product Manager, AI Strategy Consultant, AI Solutions Architect, or Head of AI Product.

Compensation

• The posting states that the salary is competitive but does not specify a compensation amount or cadence.