5-Month Executive ProgramBuilt for Working Engineers
Ship AI into businesses. Own the result.
Learn to scope ambiguous problems, build secure AI systems, integrate with enterprise tools, and take deployments from discovery to handoff.
Application-based · Small cohorts · Weekend-friendly
Start a conversation
See if the FDE path fits you.
Ask about cohort dates, fees and scholarships.
Discovery to deployment.
One engineer owns the outcome.
The FDE advantage
One engineer.
The whole system.
Forward deployed engineers connect the model to the messy reality around it: real users, real data, real security and real business outcomes.
Why this role, why now
Public listing data · directional onlyAI pilots are common.
Production is the gap.
FDEs bridge the customer problem and the production system. Public job-listing data points to a fast-growing role, while hiring remains selective and referral-led.
Apr 2025 to Apr 2026
+729% reported year-over-year growthSource: Indeed listings as reported by Times of India, June 2026. Geography and methodology vary across public sources; treat as directional. Hiring outcomes and compensation are not guaranteed by this program.
The technology
The stack production FDE teams use.
Build across models, agents, data, infrastructure and enterprise systems. Learn the tools that make real deployments work.
Models & AI platforms
Agents & orchestration
Retrieval, data & events
Build & deploy
Security, observability & integrations
The role
Close the distance between an AI idea and a system people rely on.
A Forward Deployed Engineer works where product, engineering and customer context meet. You listen closely, make the problem concrete, then build and integrate the system in the environment where it has to work.
This program develops both sides of that job: production engineering depth and the customer-facing craft to get useful systems adopted.
The work, for real
A day in the life of an FDE.
Customer context in the morning. Production-grade systems by the end of the day. The craft is technical and human, all at once.
Clarify the problem
Align with stakeholders on the real problem and what success means this week.
Build the connection
Connect client data, tune retrieval and wire an agent into the tools people use.
Solve the edge cases
Debug in secured environments: networking, permissions, legacy systems and messy data.
Own the next step
Share the update, record decisions, harden the system and prepare the next demo.
Engagement studio
Four client-style engagements.
No toy projects.
Each one has a client brief, stakeholders, constraints, security requirements and a panel review. Everything is deployed, documented and portfolio-ready.
BFSI · secure knowledge copilot
Project Sentinel
Hybrid RAG, secure text-to-SQL, RBAC, PII masking and a stakeholder-ready demo.
Enterprise operations · multi-agent copilot
Project Atlas
LangGraph supervisor, MCP tools, Jira and ServiceNow integration, approvals and cost traces.
Regulated enterprise · production hardening
Project Helix
Security review, compliance pack, red-team, UAT, runbooks and client handoff.
BFSI · healthcare · enterprise operations
Your client engagement
A complete engagement from discovery through deployment, handoff and Demo Day defense.
The roadmap · 22 weeks
Five phases, one
end-to-end capability.
Live architecture sessions, hands-on delivery labs, engagement studio and career preparation run through the program.
01Weeks 1-4Foundation: think like an FDE, ship like an engineerFDE craft, customer discovery, APIs, cloud, networking, containers and CI/CD.
- Engagement lifecycle, discovery notes and stakeholder maps
- Python APIs with FastAPI, Pydantic, REST and GraphQL
- AWS networking, IAM, secrets and private environments
- Docker, deployment pipelines, tests and observability
You shipA tested integration service, deployed cloud environment and discovery pack.
02Weeks 5-9GenAI systems: build AI that survives real dataLLM engineering, measured retrieval, knowledge graphs, multimodal documents and cost control.
- Model selection, structured outputs and evaluation harnesses
- Hybrid RAG, vector stores, reranking and messy enterprise data
- Knowledge graphs, GraphRAG and failure analysis
- Document intelligence, secure text-to-SQL and model routing
You shipProject Sentinel: a secure BFSI knowledge copilot with hybrid RAG, RBAC and guardrails.
03Weeks 10-14Agents and enterprise integrationStateful agents, governed tools and integrations with systems enterprises already run.
- LangGraph state, memory, checkpointing and tool design
- Multi-agent orchestration and human approval gates
- MCP servers, tool scopes, A2A and audit logs
- Legacy databases, Jira, ServiceNow, Kafka and cloud AI platforms
You shipProject Atlas: an operations copilot integrated with enterprise tools and approval flows.
04Weeks 15-19Production, security and governanceSecure, operate and hand over AI systems that regulated enterprises can approve.
- Identity, RBAC, prompt injection defense and PII controls
- DPDP, GDPR, HIPAA, EU AI Act and model risk essentials
- LLMOps, traces, evaluation gates, SLOs and incident response
- UAT, adoption, client handoff, ROI and executive communication
You shipProject Helix: production hardening, compliance pack, red-team report and client handoff.
05Weeks 20-22Capstone engagement and career launchRun a complete client engagement, defend the system and prepare for FDE interview loops.
- Discover, scope and design a BFSI, healthcare or operations solution
- Build, secure, evaluate, deploy and document the capstone
- Demo Day with an industry-style review panel
- System design, live debugging, customer scenarios and job-search strategy
You shipA deployed capstone, defended architecture, portfolio and interview plan.
Portfolio · Resume · LinkedIn · Interview loops · Referrals
When you finish
Ready for the messy, real-world part of AI.
Leave with deployed systems, professional delivery artifacts and the ability to explain every design decision like an FDE.
Start an application- Scope an ambiguous customer request into a costed, measurable engagement.
- Build and evaluate secure RAG, graph and multimodal AI systems.
- Connect governed agents to legacy databases, APIs and enterprise tools.
- Deploy on cloud infrastructure with CI/CD, monitoring and rollback paths.
- Defend systems against prompt injection, data leakage and excessive agency.
- Run discovery, UAT, executive updates and a professional handoff.
What hiring teams screen for
Six signals behind a strong FDE profile.
Build evidence you can explain: what you shipped, how you measured it, and how you handled the messy parts.
Shipped, deployed work
A live system with security, tests and monitoring is stronger evidence than a certificate alone.
Integration depth
Databases, legacy APIs, identity, networking and odd data are part of the job.
Evaluation discipline
Measure quality, cost and latency, then show that the system works.
Customer communication
Discover, scope, push back thoughtfully and keep executives aligned.
Security judgement
Know where agents fail and how to contain the blast radius.
Ownership mindset
Take a vague ask through build, adoption and handoff.
Who this is for
Built for engineers who want to own the outcome.
Backend and full-stack engineers, IT-services engineers, data and ML engineers, solutions architects, QA/SDET and DevOps engineers, tech leads and architects.
A strong fit if you
Code comfortably in Python and have 2+ years of experience, or strong shipped projects.
Enjoy customer problems as much as technical ones.
Can commit around 10-14 hours per week.
Want to build, deploy and defend real systems.
Your lead mentor
Deepesh Mishra
Founder, Datamarcos · Solution Architect · Corporate Trainer
18+ years of industry experience, 25,000+ professionals trained across 200+ organisations. Deepesh has delivered GenAI Forward Deployed Engineer programs for enterprise teams and teaches the work in its real sequence: scope first, then build, secure, deploy and hand over.
The full program guide
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Application-based admission
Build for the field.
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