AI & Automation Consulting Specialist California, Los Angeles 09/14/2026 Contract Active

Job Summary

The AI & Automation Consulting Specialist will assess enterprise operational processes, automation assets, technical documentation, source code, and application environments to identify opportunities for AI-powered knowledge discovery, process improvement, and intelligent automation. The role will conduct technical discovery sessions, stakeholder interviews, and assessments; evaluate AI and automation platforms; and provide practical recommendations covering solution feasibility, implementation approach, effort estimates, and high-level cost considerations. The specialist will develop actionable roadmaps to improve enterprise knowledge discovery, automation effectiveness, and operational efficiency. Key Responsibilities

• Assess and document current operational processes and existing automation assets to make them searchable, reusable, and accessible as enterprise knowledge resources.
  
• Analyze and organize technical documentation where information may be fragmented, outdated, or unreliable.
  
• Review source code repositories and recommend approaches for making source code searchable and usable as an internal knowledge asset.
  
• Evaluate operational and test automation capabilities and identify opportunities for process improvement, optimization, and additional automation.
  
• Conduct technical discovery sessions, stakeholder interviews, and Q&A workshops to understand current-state systems, challenges, and business objectives.
  
• Analyze enterprise environments consisting of backend databases, frontend applications, APIs, and external interfaces to identify automation and knowledge management opportunities.
  
• Recommend practical AI-powered search, knowledge management, and automation solutions aligned with business and technical requirements.
  
• Assess the applicability and value of AI tools and platforms including Microsoft Copilot, Kilo, Claude, and similar technologies.
  
• Provide consulting recommendations covering solution feasibility, implementation approach, effort estimates, and high-level cost considerations.
  
• Develop findings, recommendations, and actionable roadmaps to improve enterprise knowledge discovery, automation effectiveness, and operational efficiency. Required Qualifications
  
• Bachelor's degree in Computer Science, Information Technology, Engineering, Information Systems, or a related field.
  
• 5+ years of experience in consulting, solution assessment, enterprise architecture, automation, or related technology advisory roles.
  
• 3+ years of experience with AI-powered enterprise search, knowledge management, information discovery, or similar solutions.
  
• 4+ years of experience working with enterprise applications, including frontend and backend systems.
  
• 3+ years of experience reviewing, assessing, or implementing operational automation and/or test automation solutions.
  
• Experience evaluating and recommending AI, automation, and productivity tools for enterprise environments.
  
• Strong understanding of source code management, application architecture, and software development practices.
  
• Ability to navigate environments involving backend databases, frontend applications, APIs, and external integrations.
  
• Experience conducting technical Q&A sessions, workshops, and discovery assessments with business and technical stakeholders.
  
• Ability to assess solution feasibility, recommend implementation approaches, and provide rough-order-of-magnitude cost and effort estimates.
  
• Strong analytical, communication, documentation, and stakeholder management skills. Preferred Qualifications
  
• Experience with Microsoft Copilot, Copilot Studio, Claude, Kilo, or other Generative AI platforms.
  
• Experience with enterprise search technologies, knowledge repositories, or semantic search solutions.
  
• Experience with DevOps, CI/CD pipelines, or software engineering best practices.
  
• Knowledge of automation frameworks, intelligent automation, or AI-assisted development tools.
  
• Experience with system integration, API architectures, and enterprise modernization initiatives.
  
• Prior consulting experience delivering technology assessments, automation strategy engagements, or digital transformation initiatives. Certifications
  
• Azure, AI, Automation, or Enterprise Architecture certifications.