Short answer: for a 10–200-person company, hire your own AI engineer only when AI is part of what you sell or you have a full week of AI work every week. Use an agency when you have one clear thing to build. Choose a monthly AI partner when you want AI across several teams over time but can't justify a full in-house team. In Bengaluru, one mid-level AI engineer typically costs around ₹15–17 lakh a year in salary alone, which is the number to hold every other quote against.
The three options, in plain words
Your own AI engineer is a full-time hire who builds and runs AI systems inside your company. You own the knowledge, and they're there every day.
An AI agency sells projects. You agree a scope, they build it, hand it over and move on. Some offer support contracts after.
An AI partner works on a monthly subscription. They help decide what's worth doing, build it, keep it running and keep improving it, across sales, marketing, operations and leadership.
None of these is right for everyone. The choice comes down to how much AI work you actually have, and how steady it is.
What hiring an AI engineer really costs
Start with salary. AmbitionBox, from about 5,300 reported salaries (as of 28 October 2026), puts the typical AI engineer range at ₹15–16.5 lakh a year for people with 1–6 years of experience. In Bengaluru the range is ₹15.5–17.1 lakh a year, and for 6–9 years it climbs to about ₹21–30 lakh, though that band rests on fewer than 50 salaries.
Specialists cost more. A TeamLease Digital study, covered by IANS on 29 September 2026, found a GenAI developer earning ₹11.2 lakh a year at 0–2 years of experience and ₹34.5 lakh at 6–8 years. The same report estimates the supply gap for GenAI skills at about 53%, and found that only about 16% of IT professionals hold AI skills. Good people are scarce, and you'll be competing with product companies and global capability centres to hire them.
Salary is only part of it. Budget for:
- Hiring time. Weeks of searching, interviews you probably aren't equipped to judge, and a notice period before they join.
- Tools and cloud. Model usage, hosting and the software they need.
- Management. Someone has to decide what they work on. If that's the owner, it's the owner's time.
- Breadth. One person rarely covers the AI model work, the integrations with your CRM and accounts software, and data privacy under India's DPDP Act equally well.
- Key-person risk. If they leave, the knowledge of how your systems work often leaves with them.
Where agencies fit
An agency is a good buy when the job is clear and finite: a lead-capture bot, a document-reading pipeline, a dashboard. You pay for the outcome, you don't carry a salary, and a decent agency has built similar things before.
The weak spot is what happens after handover. AI systems need looking after. Prompts drift, the model behind them changes, your price list changes, a new form field breaks an integration. With a pure project agency, each of those becomes a new quote and a new wait. Agency prices also vary widely in India, so ask for a fixed price, a written scope and what support costs after launch.
Where a partner fits
A partner suits a company that knows AI should help across several teams but doesn't yet have the volume for an in-house team. You get a small group with different skills, a steady pace of improvements, and someone accountable for the systems once they're live.
There's some evidence for working with outside specialists. MIT's NANDA research on business use of generative AI, as reported by Fortune in August 2025, found that buying tools from specialised vendors and building partnerships succeeded about 67% of the time, while internal builds succeeded only a third as often. The research was about enterprise use, so read it as a direction and not a forecast for yours.
The risk with a partner is the same as with any retainer: paying every month for work that isn't happening. Check that the plan says how many things they'll work on at once, what a monthly report shows, and whether you can pause.
A quick way to choose
| If this sounds like you | Start with |
|---|---|
| AI is part of the product you sell to customers | Your own engineer, with senior outside help early on |
| You have one clear problem and no plans beyond it | An agency, on a fixed price |
| You want AI in sales, ops and reporting over the next year | A partner, monthly |
| You aren't sure where AI would pay off first | A short assessment before any of the above |
A rough rule: if the AI work you can see fills less than a week of someone's time each month, a full-time hire will spend much of their time waiting. If it fills every week and is core to your business, hire.
What these cost at Arthat
Since price is the question here, these are our public starting points. An AI Partner plan is from ₹1,50,000 + GST a month, billed monthly, with no hours counted: it covers a set number of systems and requests at a time, small fixes, a monthly results report and a pause month. A one-off first build is from ₹4,00,000 + GST per project, and an AI Readiness Assessment is from ₹1,00,000 + GST per assessment. Compare the monthly figure with the salary ranges above, then add what a hire costs on top.
The honest answer
Many companies end up mixing these. They start with outside help to find out what works, then hire one person once there's a steady system to run. The mistake to avoid is hiring a lone AI engineer before you know what you want them to build.
Arthat AI
Working on something similar at your company?
Arthat AI builds these automations for Indian businesses every week. If you want to talk through whether this fits your situation, we'll give you a straight answer — even if the answer is "don't build it."
