Forward Deployed Engineer / FDE

About this job

Why Keyrus, Why Now!

Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.

AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.

At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

Role Details

Job location: Pune or Bangalore (Hybrid — 3 days per week in the office) Contract type: Permanent

Target start date: November 2026 Working hours: Full-time (40h/week), aligned with the GMT timezone (starting at 1:00 PM IST) Compensation: ₹45 to ₹70 LPA per year

What You'll Architect

At Keyrus, we help organisations transform complexity into measurable outcomes by combining technology, data, intelligence and human decision-making. We bring together data, AI and engineering expertise to move beyond experimentation and deliver solutions that work in real business environments.

As a Forward Deployed Engineer, you'll work directly with clients to take AI use cases from discovery to production. You'll get close to users, understand how their work actually happens, build the technical solution yourself and stay involved until it delivers measurable results.

This is a hands-on engineering role for someone who enjoys solving complex problems in real-world environments. You'll combine software development, AI engineering, data integration and technical problem-solving with direct client collaboration.

What You'll Do

• Build end-to-end solutions: Develop and deploy AI-powered applications that connect source data, models, APIs and enterprise systems to real users.
• Stay hands-on: Write, test, review and maintain code using technologies such as Python, TypeScript, Java or .NET.
• Work directly with users: Understand operational challenges, observe how people work and translate their needs into practical technical solutions.
• Integrate with enterprise environments: Connect applications to APIs, identity systems, cloud platforms and existing business systems, addressing the realities of production deployment.
• Deliver production-ready AI: Build and integrate LLM, RAG or agentic capabilities, with appropriate evaluation, guardrails, reliability and cost controls.
• Own deployment and rollout: Take technical responsibility for bringing solutions into production, resolving integration issues and supporting adoption.
• Adapt as needs evolve: Respond to new information and changing priorities, iterating quickly while maintaining technical quality and clear communication.
• Measure outcomes: Work with clients to understand whether the solution is delivering the intended result and identify what needs to improve.
• Feed the next cycle: Document results, lessons learned and emerging requirements so the squad can make informed decisions about the next iteration or scaling the solution.

Who You Are

• You are curious, analytical, and motivated by solving meaningful…