AI & Automation Consulting Specialist

Compunnel, Inc.; Los Angeles (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Compunnel, Inc. is seeking an AI & Automation Consulting Specialist to assess enterprise processes and automation assets. The role focuses on making knowledge assets searchable, improving document quality, and evaluating AI platforms.

Candidate will lead technical discovery sessions, stakeholder interviews, and capacity planning. The position requires 5+ years in advisory roles and strong knowledge of AI-powered enterprise search and automation.

Qualifications

• Bachelor’s degree required in a related field (CS/IT/Engineering).
• 5+ years in consulting, enterprise architecture, automation, or related advisory roles.
• 3+ years in AI-powered enterprise search, knowledge management, or discovery.
• 4+ years with enterprise applications (frontend/backend).
• 3+ years reviewing or implementing automation solutions.
• Experience evaluating AI/automation tools in enterprise settings.
• Strong software development, system architecture, and documentation skills.
• Ability to conduct technical Q&A sessions with stakeholders.

Responsibilities

• Assess current processes and automation assets for knowledge reuse.
• Document and organize fragmented technical documentation.
• Review code repositories to improve searchability as an asset.
• Evaluate automation capabilities and identify improvement opportunities.
• Conduct technical discovery sessions and stakeholder interviews.
• Analyze environments including databases, apps, APIs, and external interfaces.
• Recommend AI-powered search, knowledge management, and automation solutions.
• Assess AI tools like Copilot, Claude, and similar platforms.
• Provide feasibility, approach, effort estimates, and high-level cost guidance.
• Develop actionable roadmaps to boost discovery, automation, and efficiency.

Skills

Enterprise knowledge

AI-powered search

Stakeholder interviews

Process automation

Technical discovery

Documentation analysis

Source code management

AI tools evaluation

Education

Bachelor's degree in CS/IT/Engineering

Tools

Microsoft Copilot

Copilot Studio

Claude

Kilo

Job description

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.