AI Forward Deployed Engineer Program
Full-stack engineering, production AI, and client-facing consulting come together in one curriculum, built around a single continuous client engagement you run from messy first call to production scale.
Every module extends the same live client engagement, building one production platform instead of disconnected assignments or standalone projects.
Begin with client discovery, PRD-lite, SOW, stakeholder communication, and executive summaries before writing production code.
Master communication through discovery calls, design reviews, executive briefings, incident war rooms, and real stakeholder presentations.
AI Shift
Developed for engineers who own end-to-end deployment in production
Ready to join Scaler and take your first step towards success?
who it is for?
Your current profile covers only half of what customer-embedded AI engineering demands.
I can build features, but I've never owned a client outcome end to end.
What you'll gain
MAKING AI WORK FOR A CUSTOMER
AI runs through every module. But the skill that gets you hired, isn't prompting. It's scoping the ask, proving the system works, and defending it to the people who have to sign off. You do all three inside one live engagement.
Tools you'll learn with us:
Curriculum
How is This Module Future Proof
The full client-room toolkit before any deep theory, graded from the first classes.
Start in the client room, engagement lifecycle, MECE, BLUF and the artifact toolkit, then design Meridian's secure order-platform schema and solve the legacy problem their customer PII actually lives behind: a firewalled on-prem SQL Server.
What you'll learn
Want to dive deeper into the details?
Project
Not disconnected builds. Each project adds the next production layer to the same Meridian Retail engagement, and the capstone proves it transfers.
Design Meridian's secure production schema with RLS, column encryption and audit trails, solve federated access to the firewalled on-prem SQL Server their customer PII lives in, then build the tested async Python ingestion service, streaming exports via generators, Pydantic-validated, fully covered by pytest, with a PySpark transform layered in for the heavier data loads.
AI-assisted profiling flagged likely PII fields and schema anomalies in the legacy export before the ingestion pipeline was built.
Build the client's real backend, order lifecycle state machine, payment reconciliation, notifications, OAuth2/OIDC auth, live status over WebSockets, OpenTelemetry tracing, backed by an OpenAPI-specced contract and the dbt/Airflow/Kafka data platform behind it.
pgvector semantic search and streaming, AI-ready endpoints are built into the platform from day one
Build the ops dashboard the client's team uses daily, validated intake forms, KPI tables and filters, role-gated views and real-time order status, then defend the architecture and walk the end users through it.
Streaming, AI-ready interface patterns power the dashboard's real-time layer
Redesign the platform to survive a 50x campaign surge, load balancing, caching, sharding with rebalancing, a Kafka event backbone, a 10TB query path and Saga-based distributed transactions, presented as an architecture proposal deck defended to leadership.
The redesign explicitly provisions for AI workloads, copilot traffic and vector search, under surge load
Run discovery and scoping on a fresh non-Meridian brief under time pressure, build the data, backend, dashboard and AI/agent layer in compressed sprints, then present at Demo Day to an industry panel.
Every capstone ships a production AI/agent layer scoped to the new client's actual problem
Mentors/ Instructors
Industry leaders who will shape your career
Taught by Anshuman Singh
Two-time ACM ICPC World Finalist. Built Facebook Messenger as a founding team member.
4.9
Taught by Naman Bhalla
Google Kickstart global rank 135. ACM ICPC rank 37. Built Scaler Topics from scratch.
4.8
Taught by Shivank Agarwal
A decade at Microsoft and Oracle. Now SVP of Engineering at Scaler, building next-gen engineers.
4.7
Subhadip Chanda | Mentor
Forward Deployed Engineer at Databricks, turning ambitious data strategies into real platforms.
Anu Sharma
Forward Deployed Engineer at Palantir. Also worked at Google, X and Intuit. Teaches 700k+ followers.
Kalaiselvan Swamy
16+ years in engineering and architecture. Forward Deployed Engineer at Axelerant, ex-Cognizant.
Suvojit Hore
Forward Deployed Senior AI Engineer at EXL, with 20+ agentic AI systems in production. Ex-dunnhumby.
Prajna Vegesna
Forward Deployed AI Engineer at Sarvam AI, building full-stack AI products for India at scale.
Subham Kumar
Forward Deployed Engineer at ConveGenius.AI, building cloud platforms serving millions of learners.
Taught by Anshuman Singh
Two-time ACM ICPC World Finalist. Built Facebook Messenger as a founding team member.
4.9Taught by Naman Bhalla
Google Kickstart global rank 135. ACM ICPC rank 37. Built Scaler Topics from scratch.
4.8Taught by Shivank Agarwal
A decade at Microsoft and Oracle. Now SVP of Engineering at Scaler, building next-gen engineers.
4.7Subhadip Chanda | Mentor
Forward Deployed Engineer at Databricks, turning ambitious data strategies into real platforms.
how scaler works
Designed for people with jobs, ambition, and limited time. Structure, people, practice, and accountability are built in so upskilling turns into capability.
You spend the program embedded with Meridian Retail, a realistic simulated client: messy legacy data behind a firewall, PII and PCI constraints, shifting stakeholders, and a Black Friday deadline. Every module adds a production layer to the same living platform.
Mentors review your Meridian work, coach your discovery calls and exec updates before the graded versions, and give artifact feedback the way a real engagement lead would.
197 live sessions including 14 graded assessments, 10 hands-on labs and 18 communication classes, a timed RAG build, a red-team war room on your shipped agent, a system-design interview simulation, an AWS security assessment, a live incident drill, and a demo day with an industry panel.
A real AWS production go-live with Terraform (28 sessions), multi-region reliability and DR, enterprise security sign-off, and the capstone.
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Structured check-ins, career support, and access to Scaler's alumni community keep you moving long after the program ends.
Live sessions, regular curriculum updates, and lifetime access to recorded content mean you remain current as the industry moves. Not caught up. Ahead of it.
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CERTIFICATE
WHERE THE AI FORWARD DEPLOYED ENGINEER PROGRAM TAKES YOU
729%
Year-over-year growth in Forward Deployed Engineer job postings on Indeed, from ~643 openings in April 2025 to 5,300+ by April 2026.
Indeed data via Business Insider, May 2026
$9Bn+
Committed to the forward-deployed-engineering vertical by Microsoft, Amazon, OpenAI, and Anthropic in 2026.
Company announcements via CNBC / PYMNTS, 2026
30–50%
Of FDE listings at AI labs now ask for LLM integration, RAG, or model evaluation experience, a shift from 2025, when most FDE work was enterprise SaaS deployment.
FDE Pulse, 2026
~1,000
FDEs that Salesforce alone has stated it aims to hire for Agentforce deployments, as OpenAI, Anthropic, Google Cloud and Palantir scale the same role.
Company statements via FDE Pulse / Business Insider, 2026
Stories
Numbers tell part of the story. These are the role shifts behind them.
Shivam Prakash
Computer Scientist, Adobe
“This journey has been an incredible blend of theoretical knowledge and hands-on experience, equipping me with the skills to tackle real-world challenges in the dynamic field of AI and ML. I'm excited to leverage this knowledge to contribute meaningfully to the ever-evolving landscape of technology and innovation.”
Sahil Bansal
Data Scientist, Fractal
Rajesh Somasundaram
Machine Learning Ops Engineer-2, NinjaCart
Arun M V
Applied scientist, GoKwik
Divyanshu Tanter
AI Researcher and Developer, Dassault Systems
“In just 2.5 months of joining Scaler, I not only learned the fundamentals but also advanced-level concepts in Data Science and Machine Learning. The structured approach, comprehensive curriculum, and unwavering guidance of mentors like Srikanth Varma Chekuri, Naman Bhalla, Mudit Goel , and a fantastic cohort of peers made this journey incredibly rewarding.”
Akshat Arora
Data Scientist, Landmark Group
Madhuri Kukreja
Associate Analyst, Razorpay
Sayyam Bhandari
Data Engineer, Amazon
“Scaler Academy's program is truly exceptional, providing me with the skills and confidence necessary to thrive in the field of Full-Stack_Data Engineer. The practical projects and real-world scenarios prepared me well for the challenges ahead”
Vempali B N V D Sivasanthosh
Full Stack data Engineer, Fractal
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Starting at
₹ 9,791/month
Total ₹ 3,99,000*
Learn AI, stay ahead, and make the best investment for your future with EMI and a ₹20,000 upfront commitment.
What's included
No-cost EMI available
Flexible monthly payments
Full Day access from Day 1
All tracks, all modules, all tools
Lifelong Access Unlock
Curriculum, recordings, and future updates
Career support included
Resume review, mock interviews, placement assistance
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Instructors, mentors, and leaders from industry who shape what you learn and how you grow.
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So if you're not sure what a forward deployed engineer is, imagine that they are the engineer in charge of ensuring that a software or AI product functions within the confines of a customer's organisation. Their role starts when a customer has chosen to use the product and lasts until it's up and running in production. A Forward Deployed Engineer (FDE) gathers information about the existing systems, determines whether the new product fits in, creates the appropriate connections between the systems, resolves technical problems that occur when implementing the new product, and makes changes as necessary before the product is put into operation.
Each deployment is unique because all organisations have unique software, data, security needs and methods of operation. Hence, the forward deployed engineer meaning can be pretty much summed up as part engineer, part consultant, and part problem-solver.
The term Forward Deployed Engineer was first coined by Palantir around 2010 to describe engineers that are deployed with government agencies and enterprise customers when implementing software. They remained on the project and addressed technical issues as they arose, and they successfully deployed the project to production rather than passing it along to another team. Despite this, the role for years was closely tied to Palantir, until enterprise GenAI came along. When more businesses began using AI, the primary obstacle wasn't the construction of a model; it was the integration of a model into existing software, company data, security policies, and daily workflows. That resulted in demand for forward deployed engineers at companies like OpenAI, Anthropic, Google Cloud, Databricks, and AWS.
But how do you get started? To answer this, we'll also look at what a forward deployed engineer course covers and how it prepares you for building, deploying, and supporting AI solutions in real business environments.
For a deeper breakdown of the role, read our full guide on what a Forward Deployed Engineer is.
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