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AI & Automation Consulting Specialist

  • California, Los Angeles

  • 09/14/2026

  • Contract

  • Active

Job Description:

  • 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    • Analyze and organize technical documentation where information may be fragmented, outdated, or unreliable.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.

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