🤖 We’re Hiring: AI Product | AI Solutions Consultant
🕒 Employment Type: Full-Time
💼 Level: Mid-Level to Senior
We are seeking a strategic and technically minded AI Product | AI Solutions Consultant to help organizations identify, design, and implement AI-powered products and solutions. The ideal candidate will combine AI knowledge, product thinking, business analysis, and client consulting skills to translate business challenges into practical AI solutions that deliver measurable value.
🎯 Key Responsibilities• Identify business opportunities where AI, machine learning, generative AI, automation, or intelligent analytics can create measurable value.
• Work with clients and internal stakeholders to understand business objectives, operational challenges, and technology requirements.
• Gather and analyze functional, technical, data, and business requirements for AI initiatives.
• Translate business requirements into AI product concepts, solution architectures, use cases, and implementation plans.
• Develop AI product strategies aligned with customer needs, market opportunities, and organizational objectives.
• Define product vision, goals, roadmaps, priorities, features, and success metrics for AI solutions.
• Conduct discovery workshops, stakeholder interviews, solution assessments, and AI opportunity evaluations.
• Recommend appropriate AI technologies, models, platforms, APIs, and deployment approaches based on business requirements.
• Collaborate with data scientists, AI engineers, software developers, product managers, designers, and business teams to deliver AI solutions.
• Develop solution proposals, proof-of-concept concepts, business cases, and technical recommendations.
• Support the design and implementation of generative AI, machine learning, natural language processing, computer vision, predictive analytics, and intelligent automation solutions where appropriate.
• Evaluate AI models and solutions based on accuracy, usability, scalability, performance, cost, security, and business impact.
• Define product requirements, user stories, acceptance criteria, workflows, and functional specifications.
• Prioritize AI product features and enhancements based on customer feedback, business value, technical feasibility, and strategic priorities.
• Coordinate proof-of-concept and pilot projects from discovery through evaluation and deployment.
• Work with clients to explain AI capabilities, limitations, implementation requirements, and expected outcomes.
• Prepare product demonstrations, solution presentations, workshops, proposals, and executive briefings.
• Support pre-sales activities by developing AI solution concepts and responding to customer requirements and technical questions.
• Monitor product performance, user adoption, customer feedback, and business outcomes after implementation.
• Identify opportunities to improve existing AI products, workflows, models, integrations, and user experiences.
• Conduct competitive and market research to identify emerging AI technologies, products, and industry trends.
• Assess the feasibility, risks, costs, and potential return on investment of proposed AI initiatives.
• Work with security, legal, compliance, and data teams to address responsible AI, privacy, governance, and risk considerations.
• Develop documentation covering AI solution requirements, workflows, use cases, implementation processes, and product specifications.
• Coordinate multiple AI initiatives and ensure projects remain aligned with agreed scope, timelines, budgets, and business objectives.
• Continuously evaluate emerging AI technologies and identify practical opportunities for product innovation and business transformation.
✅ Requirements• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, Business, or a related field.
• Previous experience in AI product management, AI consulting, solution consulting, technology consulting, product development, business analysis, or a similar role.
• Strong understanding of artificial intelligence, machine learning, generative AI, automation, and data-driven solutions.
• Ability to translate business problems into practical AI use cases and solution requirements.
• Experience gathering and documenting functional and technical requirements.
• Strong understanding of product development processes, product roadmaps, prioritization, and lifecycle management.
• Experience working with cross-functional technical and business teams.
• Familiarity with AI/ML concepts, APIs, cloud platforms, data pipelines, and software-development processes.
• Knowledge of technologies such as LLMs, NLP, computer vision, predictive analytics, recommendation systems, or intelligent automation is an advantage.
• Familiarity with AI platforms and cloud services such as AWS, Microsoft Azure, Google Cloud, OpenAI, or similar technologies is beneficial.
• Strong analytical and problem-solving skills.
• Excellent client-facing communication and presentation abilities.
• Ability to explain complex AI concepts clearly to both technical and non-technical audiences.
• Strong business acumen and understanding of technology-driven transformation.
• Experience developing business cases, solution proposals, demonstrations, or proof-of-concept initiatives.
• Strong project coordination and stakeholder-management capabilities.
• Ability to evaluate technology options based on business value, feasibility, scalability, security, and cost.
• Strong written communication and documentation skills.
• Familiarity with responsible AI, data privacy, AI governance, and technology-risk principles is an advantage.
• Ability to work effectively in a fast-paced and continuously evolving technology environment.
• Professional certifications in AI, cloud computing, product management, or technology consulting are advantageous.
🌟 What We Offer• Competitive salary and comprehensive employee benefits.
• Opportunity to work on innovative AI products and enterprise AI transformation projects.
• Exposure to generative AI, machine learning, automation, analytics, and emerging technologies.
• Direct interaction with clients, business leaders, engineers, data scientists, and product teams.
• Professional development in AI consulting, product strategy, and technology transformation.
• Opportunities to lead AI proof-of-concepts and production implementations.
• Access to modern AI platforms, cloud technologies, and development tools.
• Support for relevant AI, cloud, and product-management certifications.
• Opportunities to contribute to new AI products and technology-driven business initiatives.
• Collaborative environment focused on innovation and continuous learning.
