BENGALURU · FULLTIME
Forward Deployment Engineer
tenarai
Bengaluru · onsite · Posted 57d ago
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Section · 01
About this role
Forward Deployed Engineer (FDE)
Role Purpose
The Forward Deployed Engineer builds and delivers production-grade, AI-powered systems directly with
customers. This is a builder role: you will write, ship, and operate code in real customer environments.
The FDE bridges product intent, engineering execution, and real-world deployment - owning solutions
end-to-end. From discovery through production, the FDE ensures Agentic AI systems deliver measurable
customer and business impact.
What You'll Do
Design and Deploy Production AI Systems
● Design, build, and deploy production-ready AI systems in real customer environments.
● Implement Agentic AI solutions (RAG, orchestration, tool/function calling, multi-step workflows).
● Translate ambiguous customer problems into shippable technical architectures with clear
trade-offs.
● Move solutions from proof-of-concept to production with measurable adoption.
● Engineer for enterprise-grade quality: secure, scalable, observable, resilient.
Own End-to-End Customer Delivery
● Lead delivery from discovery and architecture through rollout, iteration, and operational
readiness.
● Embed directly with customer teams to understand tech stack, workflow constraints, and success
criteria.
● Make pragmatic architectural decisions under delivery pressure and evolving constraints in the
customer stack.
● Measure success by delivered impact and adoption - not effort or billable time.
Operationalize for Scale
● Establish deployment patterns, evaluation loops, and monitoring frameworks.
● Implement reliability patterns: retries, fallbacks, idempotency, and safe failure modes for agentic
workflows.
● Tune systems for performance and economics (latency, throughput, cost) without sacrificing
quality.
● Mentor engineers in production-grade AI delivery practices and reusable reference architectures.
Partner Across Product and Platform
● Collaborate with AI Engineers, platform teams, and research to align architecture with long-term
direction.
● Provide real-world deployment feedback to strengthen platform capabilities and accelerators.
● Balance experimentation velocity with enterprise-grade reliability.
Influence at Executive and Customer Altitude
● Communicate architecture, risks, and constraints clearly to executives and non-technical
stakeholders.
● Frame decisions across scope, reliability, speed, and cost in decision-ready language.
● Build trust through transparency, delivery rigor, and measurable outcomes.
Transition Delivery to Durable Ownership
● Ensure systems transition cleanly into sustained operation with clear ownership and
documentation.
● Define monitoring, support, and iteration plans; reduce ambiguity for inheriting teams.
● Support long-term adoption and continuous improvement cycles.
Requirements
● 5+ years in software engineering, architecture, or technical delivery; strong record of shipping
production systems.
● Demonstrated customer-embedded delivery: discovery-to-deployment in enterprise
environments.
● Hands-on backend and integration engineering (APIs, services, data integrations); strong
debugging skills.
● Experience building LLM applications (tool calling, RAG, orchestration) and creating eval/quality
gates.
● Production deployment discipline (CI/CD, environments, containers) and cloud experience
(AWS/Azure/GCP).
● Security and privacy fundamentals (secrets, access controls, PII handling) applied in
implementations.
● Strong communication and stakeholder influence; comfortable translating trade-offs to decision makers.
Sourced from foundit
Section · 02