Why This Role Stands Out
This role offers a fantastic opportunity to shape the future of AI and automation within a reputable company, empowering you to drive significant impact. You'll thrive here if you possess strong analytical skills and a passion for innovative problem-solving, with a hybrid work model providing excellent flexibility. Apply today to leverage your expertise and advance your career in this exciting domain.
Quick Overview
Job Description
"AI & Automation Consulting Specialist"
"Los Angeles, CA [Hybrid, 3 days/week to onsite is must]".
Day to Day Job Duties:
- 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- Analyze and organize technical documentation, where current documentation may be fragmented, outdated, or not fully reliable.
- Review existing source code repositories and recommend approaches to make source code searchable and usable as an internal knowledge asset.
- Evaluate current automation capabilities, including operational automation and test automation, and identify opportunities for process improvements, 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, and external interfaces to assess 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 on 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.
Basic Qualifications:
- 5+ years of consulting, solution assessment, enterprise architecture, automation, or related technology advisory experience.
- 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 both 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 understand and navigate environments consisting of 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 cost and effort estimates.
- Strong analytical, communication, documentation, and stakeholder management skills.
Travel: N/A
Degree: Bachelor's degree in computer science, Information Technology, Engineering, Information Systems, or a related field.
Nice to Have:
- 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.
- Azure, AI, Automation, or Enterprise Architecture certifications.
- Prior consulting experience delivering technology assessments, automation strategy engagements, or digital transformation initiatives
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