Roles Similar to Forward Deployed Engineer: Compared for India

The roles most similar to a Forward Deployed Engineer (FDE) are the solutions engineer, sales engineer, customer success engineer, solutions architect and applied AI engineer. All of them mix code and customers, but they differ in when they meet the customer and how much production code they write. FDEs sit in the middle of that map: after the sale, inside the customer’s systems, writing real code.

If you already hold one of these jobs in India, you are closer to FDE than you think. This guide compares each role with FDE on goals, coding depth, customer contact and pay in LPA, then shows how easily each one transitions. New to the term? Start with what an FDE engineer does.

How these roles split the customer journey

The cleanest way to tell these roles apart is to follow one customer from first conversation to daily use. FDE Academy’s March 2026 comparison places the FDE after the sale, in production deployment and close to product engineering, while the other roles sit before the sale or after deployment. In its words, solutions engineers help customers “understand what the product can do”, while FDEs help them “actually deploy and run” it.

Educative’s FDE interview course frames the same split by what each role is measured on:

• Sales engineer: the buyer’s confidence during the sale.
• Solutions engineer: technical fit between the product and the customer’s environment.
• FDE: “a working system in the customer’s environment”.
• ML or applied AI engineer: model and pipeline quality that every deployment relies on.
• Customer success engineer: long-term adoption and value after go-live, per FDE Academy.

That measurement is the real difference. Two people may both write Python and both join customer calls, but the one who is judged on a live, running system is doing FDE work.

FDE vs adjacent roles at a glance

Role	Main goal	Coding depth	When you meet the customer	Ease of moving into FDE
Forward deployed engineer	Working system in the customer’s environment	Very high: production code, integrations, APIs	Scoping through deployment and early use	—
Solutions engineer	Prove technical fit	Moderate to high: prototypes, integration code	Mainly evaluation, sometimes after purchase	Easy: add production delivery
Sales engineer	Win the buyer’s confidence	Low: demos and technical answers	During the sales cycle	Medium: big coding gap
Customer success engineer	Adoption and value after go-live	Limited: mostly troubleshooting	After deployment	Medium: coding gap, strong customer skills
Solutions architect	Design the target architecture	Varies: design-heavy	Pre-sales and design phases	Easy to medium: needs hands-on build
Applied AI engineer	Ship AI features that work in production	High: agents, RAG, evals	Usually internal, little direct contact	Easy: add customer-facing work

Goal, coding and contact columns draw on FDE Academy (Mar 2026) and Educative; the last column is our assessment based on the gaps those sources describe.

What each adjacent role looks like in India today

Job titles vary by company, and FDE Academy notes that these roles overlap heavily at startups. Here is what real Bengaluru listings ask for in 2026.

Solutions engineer

Databricks’s Sr. Solutions Engineer (Big Data & AI) listing in Bengaluru, posted in April 2026, is a pre-sales role: you guide customers through technical evaluation alongside an account executive. It still asks for hands-on Spark programming, solid coding in Python, Java or Scala, 5+ years of presenting and whiteboarding technical concepts, and 4+ years of public cloud architecture. You also build reference architectures and demo applications.

That is a lot of engineering for a “sales” role, which is why solutions engineers are the most natural feeders into FDE. The missing piece is owning a system after it goes live.

Customer engineer

Google Cloud’s Practice Customer Engineer, Cloud AI role (Bengaluru, with Mumbai also named) asks for at least 6 years of cloud-native architecture in a customer-facing or support role. It drives technical wins for Gemini Enterprise, but it also requires coding in Python, JavaScript/TypeScript, Go or Java, and experience with RAG, Text-to-SQL and semantic search. Like FDEs, customer engineers pass customer feature requests back to product and engineering.

Solutions architect (applied AI)

Anthropic’s India Applied AI Architect role in Bengaluru, posted in August 2026 and now closed, asked for 10+ years in customer-facing technical roles such as solutions architect, sales engineer or technical account manager. It was described as pre-sales, but covered customers from discovery through deployment and included feeding integration patterns back to product and engineering. The only explicit coding requirement was comfort with Python.

Applied AI engineer

Sarvam AI’s Applied AI Engineer (Sarvam Agents) listing in Bengaluru, posted in May 2026 and now closed, asked for 3–5 years of experience including 2+ years of backend Python. The work: build AI agents end to end, run evals, own production reliability, and build connectors to third-party SaaS APIs and MCP servers. It listed no customer-facing duties. Technically, this is the closest to modern AI FDE work; the gap is the customer.

Senior customer-facing roles ask for the most experience. Source: company listings in Bengaluru, 2026; the Anthropic and Sarvam roles are now closed.

For how FDE listings themselves compare on experience, see how much experience you need to become an FDE in India.

FDE vs adjacent roles: pay in India

There is no single dataset covering all these roles, so the figures below come from different sites with different methods. Treat them as rough bands, not offers.

• Forward deployed engineer: Levels.fyi shows a median total compensation of about ₹17.7 LPA in India, with ₹16.1 LPA at the 25th percentile and ₹42.2 LPA at the 75th (11 data points, updated October 2026).
• Sales engineer (Bengaluru): Levels.fyi reports a median of about ₹22.1 LPA, with ₹16.1 LPA at the 25th percentile and ₹29.6 LPA at the 75th (11 data points, October 2026).
• Solutions engineer: PayScale puts the average base at about ₹9.7 LPA, with a 10th–90th percentile range of ₹3.4–20 LPA (74 profiles, March 2026). Its sample leans early-career.
• Solution architect: AmbitionBox shows ₹13.8–47.9 LPA for 7–18 years of experience, from 18.4k reported salaries (March 2025).
• Customer success engineer: AmbitionBox shows ₹3–22 LPA for 1–9 years of experience, from 587 salaries (March 2025).
• Applied machine learning engineer: Glassdoor India shows an average of about ₹23.5 LPA and a likely range of ₹11.8–37.1 LPA, but from only 4 salaries.

FDE and sales engineer bars are 25th–75th percentiles from Levels.fyi (Oct 2026); solutions engineer is PayScale’s 10th–90th percentile base (Mar 2026); solution architect and customer success engineer are AmbitionBox ranges (Mar 2025).

The staffing firm view points the same way. TeamLease Digital estimates that experienced FDEs can earn around ₹40 lakh a year, about 23.7% more than customer support engineers and 16% more than technical account managers, as reported by Sightsinplus in July 2026. The premium follows the extra responsibility: FDEs are paid for owning outcomes in production, not just for being technical in front of customers.

Two cautions. Sales engineer pay can include commission, and FDE Academy notes that commission tied to revenue can push sales engineer total pay above other roles. And every FDE number above is a small sample, because the title is still new in India. Our FDE role in product companies guide covers employer-posted FDE bands in more detail.

Is the FDE title replacing these roles?

Partly, in IT services. Sightsinplus reports that some Indian IT firms are reassigning solution architects and technical consultants to FDE-style work, and that firms including TCS, Infosys, Wipro, HCLTech and Accenture are investing in similar roles without always using the FDE title. The same report lists AI Consultant, AI Engineer, Solution Architect and GenAI Specialist as titles serving the same goal.

That matters for your job search. If you only search “forward deployed engineer” on Naukri or LinkedIn, you will miss FDE-shaped roles hiding under these titles. Search the adjacent titles too, and read the responsibilities: production deployment, customer environment and integration ownership are the signals.

How to move from an adjacent role into FDE: step by step

The gap is different for each role, so start by naming yours.

1. Find your gap. Solutions and sales engineers usually lack production ownership. Customer success engineers usually lack production coding. Applied AI engineers usually lack customer-facing experience. Solution architects often lack recent hands-on building.
2. Close the coding gap with one deployed project. Build something that connects a real API or messy dataset to a working AI or data workflow, deploy it, and keep it running for a few weeks. Sarvam’s listing is a good checklist: agents, evals, observability, OAuth integrations.
3. Close the customer gap inside your current job. Applied AI engineers can volunteer for customer escalations, pilot launches or internal “customer” teams. Two or three real stakeholder stories are enough to start.
4. Take one engagement past the sale. If you are a solutions or sales engineer, ask to stay on a deal through implementation. Owning a go-live is the single strongest FDE signal on a resume.
5. Rewrite your resume around outcomes. Replace “conducted demos” with what got deployed, for whom, and what changed. Map your bullets to the six FDE skill areas.
6. Search wider titles and check your fit. Apply to customer engineer, applied AI and solutions roles with production scope, not just FDE-titled jobs. The FDE Alignment Checker shows which skill areas on your resume are strong and which need work.

Which adjacent role should you pick if you are not an FDE yet?

If you are early in your career and want to end up as an FDE, pick the role that builds the harder skill for you. Strong coders who avoid customers should take a solutions or customer engineer role and learn to run a room. Confident communicators who code lightly should take an applied AI or backend role and learn to ship. Either path leads to the same place; FDE is the job where both skills are finally required at once.