Skan AI

AI Solutions Consultant

Location
Bengaluru
Work mode
See listing
Experience
2–6 yrs exp
Pay
₹12–20 LPA (Est.)
Type
Full-time job, AI & ML
Added
14 November 2026

About this role

Skan AI builds a process intelligence platform that captures how large enterprises run their work and uses that data to ground AI agents. This consultant role sits in its AI Solutions post-sales and professional services team. The consultant owns delivery for assigned customer accounts, from discovery sessions and solution design through configuration, integrations, deployment and adoption. The work is hands-on, including building custom agents and reusable accelerators, with around 30% travel to customer sites. It suits someone with 2–6 years in consulting or delivery who wants to build solutions rather than only advise.

Skan AI is hiring for AI Solutions Consultant, a full-time role based in Bengaluru.

Who can apply: 2–6 yrs exp. Skills: SQL, BI tools, Python, Process mining, RPA, AI agents.

Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.

What you'll do

  • Own end-to-end delivery for assigned accounts, from discovery to value realization
  • Lead customer discovery sessions and frame requirements
  • Configure the Skan platform, build integrations and create custom agents and accelerators
  • Ensure data health and integration quality and carry out analysis
  • Build agents and reusable assets to automate repeating work
  • Become certified on the Skan platform

What you need

  • 2–6 years in consulting or delivery, such as at a Big Four firm or SI
  • End-to-end delivery ownership on Skan or a comparable platform
  • Exposure to process mining, RPA, workflow automation or BPM
  • SQL and BI tools, with Python a plus
  • Ability to lead customer discovery sessions independently
  • Willingness to travel about 30% to customer sites

Skills

  • SQL
  • BI tools
  • Python
  • Process mining
  • RPA
  • AI agents

"Est." = Hirastra's estimate based on market data, not an official figure.

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