Senior AI Solutions & Process Transformation Consultant

Company introduction Residential Solutions is seeking a Senior AI Solutions & Process Transformation Consultant to identify, design, build, and implement AI-enabled business solutions. Role summary / purpose This contractor will partner with the AI Portfolio & Product Lead and business stakeholders to assess processes, prioritize opportunities, design future-state workflows, build practical solutions, and support deployment and adoption. The ideal candidate combines process improvement, stakeholder facilitation, hands-on AI execution, data science, and technical AI development experience using approved enterprise technologies. Key responsibilities • Partner with the AI Portfolio & Product Lead to evaluate, prioritize, roadmap, and deliver AI opportunities. • Facilitate stakeholder discovery sessions and process reviews to identify AI, automation, workflow, and decision-support opportunities. • Document current-state processes and design future-state workflows, process maps, decision logic, requirements, MVPs, and pilot plans. • Configure, build, test, and deploy AI-enabled solutions using approved tools, including copilots, AI agents, automations, prompts, business rules, and integrations. • Apply Python, machine learning, AI frameworks, cloud services, and data science techniques to support prototyping, analytics, model development, and solution evaluation. • Lead pilot deployments, support user acceptance testing, coordinate with technology teams/vendors, track risks and dependencies, and measure adoption and business value. • Create reusable templates, accelerators, training materials, and lessons learned to strengthen repeatable AI delivery. Requirements – education & experience • Bachelor's degree in Business, Information Systems, Computer Science, Engineering, Operations, Mathematics, Data Science, or related field. • Minimum 3 years of AI, machine learning, or data science experience. • Experience delivering automation or AI-enabled solutions from concept through deployment. • Programming experience, preferably Python, for AI development, prototyping, automation, data analysis, or integration support. • Experience with machine learning model development and AI frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar tools. • Experience with AWS or related cloud services supporting AI, machine learning, data processing, or deployment. • Advanced data science experience, including data exploration, model evaluation, statistical analysis, predictive analytics, NLP, computer vision, generative AI, or intelligent decision support. • Strong process mapping, requirements gathering, communication, facilitation, and stakeholder management skills. Nice-to-have / preferred skills • Experience with Microsoft Copilot, Copilot Studio, Power Platform, Power Automate, Power Apps, AI agents, or similar automation tools. • Experience with low-code/no-code configuration, workflow automation, Agile delivery, Lean Six Sigma, digital transformation, or utility industry initiatives. Growth & development opportunities Create reusable templates, accelerators, and training materials to strengthen repeatable AI delivery and build expertise across the organization.