AI & Automation Consulting Specialist-W2

Saransh Inc; Los Angeles (CA); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Saransh Inc in Los Angeles, CA is seeking an AI & Automation Consulting Specialist with 5+ years of consulting to assess operations and improve enterprise knowledge management through automation.

The role focuses on AI-powered search, knowledge management, and automation across back-end databases, front-end apps, and external integrations, with a hybrid schedule requiring three days onsite per week.

Qualifications

• Bachelor's degree in computer science, IT, engineering, information systems, or related field.
• 5+ years of consulting, solution assessment, enterprise architecture, automation, or related technology advisory experience.
• 3+ years with AI-powered enterprise search, knowledge management, or information discovery.
• 4+ years working with enterprise applications, including frontend and backend systems.
• 3+ years reviewing, assessing, or implementing operational automation and/or test automation solutions.
• Experience evaluating AI, automation, and productivity tools for enterprise environments.
• Strong understanding of source code management and software development practices.
• Ability to assess solution feasibility and provide rough-order cost/effort estimates.
• Strong analytical, communication, documentation, and stakeholder management skills.

Responsibilities

• Assess and document current operational processes and automation assets.
• Analyze and organize technical documentation and ensure reliability.
• Review source code repositories and recommend search-ability and usability improvements.
• Evaluate automation capabilities and identify process improvements.
• Conduct technical discovery sessions and stakeholder interviews.
• Analyze environments with databases, frontend apps, and APIs.
• Recommend AI-powered search, knowledge management, and automation solutions.
• Assess AI tools and platforms like Microsoft Copilot, Claude, and similar technologies.
• Provide feasibility, approach, and rough-cost estimates.
• Develop findings and roadmaps to improve knowledge discovery and efficiency.

Skills

Consulting

Enterprise Architecture

AI-powered Search

Knowledge Management

Automation Solutions

Source Code Management

Stakeholder Management

Technical Q&A

Documentation

Education

Bachelor's degree

Tools

Microsoft Copilot

Copilot Studio

Claude

Kilo

Azure

DevOps

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