Live opening · Posted 3 days ago

Forward Deployed Engineer ( FDE )

Bestinfo Systems LLC · Georgia, United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyBestinfo Systems LLC
LocationGeorgia, United States (Remote)
Work modeYes
SkillsPython
SourceLinkedin
ListedPosted 3 days ago

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About the role

Description supplied by the original job listing.

Work Location: This is a fully remote position, open to candidates within the United States. The role requires close collaboration with distributed global teams.
As a Forward Deployed Engineer FDE you will operate at the intersection of executive problem framing rapid engineering and scalable architecture You will engage directly with client CXOs and senior leaders to identify a high-value wedge build a working proof in weeks and translate that into a clear path toward MVP and scaled rollout on BlueVerse or any hyperscaler platforms You will be embedded in deals and client journeys, shipping real agentic systems not slides
1 Executive-facing discovery value shaping
Partner with Sales Client Partners and BlueVerse leaders to run CXO-level working sessions that translate business pain into an Outcome Thesis KPI tree baseline uplift hypothesis operating constraints
Identify the right thin slice wedge for a rapid Proof of Value PoV high signal, measurable, low dependency, enterprise-relevant
Communicate tradeoffs clearly: what to automate vs assist where human-in-the-loop is required and what safe scale entails
2 Rapid Proof of Value engineering
Build a rapid PoV that demonstrates business impact, technical feasibility, and trustworthiness
Implement agent workflows with tool-use integration to enterprise systems and a lightweight UI experience for stakeholder clarity
Create an initial evaluation harness: task success accuracy, policy compliance, tool-call success latency, cost, and capture baseline vs PoV lift
3 Agentic blueprint path to scale handoff
Produce a scalable Agentic Blueprint agent roles, orchestration patterns, tools/APIs, data/knowledge strategy, guardrails, observability and HIL escalation
Define MVP backlog and architecture decisions: identity/access, audit logging fallback design policy boundaries and deployment model
Hand off cleanly to delivery teams MVP squads/pods with a production-ready plan
Required qualifications
10 years of experience in full-stack engineering solution architecture technical consulting with significant client-facing delivery
Demonstrated ability to build quickly under ambiguity and still maintain sound architecture instincts
Strong experience with modern AI stacks including
oLLMs agent patterns orchestration toolcalling planningexecution loops memory patterns
oRAG knowledge embedding strategies chunking vector databases retrieval evaluation
oEvaluation offline online evals regression suites safety testsredteaming basics
Strong software engineering fundamentals APIs data pipelines integration distributed systems basics
Proficiency in Python one of TypeScriptJavaGo comfortable across frontend backend as needed
Cloudnative experience AWSAzureGCP containers CICD and observability fundamentals
Exceptional communication can translate technical complexity into business impact for senior stakeholders
Preferred qualifications
Proven delivery of GenAIagentic solutions in production not only prototypes
Experience integrating with enterprise platforms ServiceNow Salesforce SAP Microsoft GraphO365 DatabricksSnowflake etc
Experience with security governance for GenAI data boundaries access control auditability model risk compliance evidence
Familiarity with client OpsAgentOps concepts versioning telemetry drift monitoring cost governance FinOps
Domain depth in one or more client focus verticals Travel Transportation Hospitality RetailCPG BFSI Manufacturing Media
Relevant certifications cloud security data are a plus
Core competencies what distinguishes top performers
Executive presence credible with CXOs can run a room and drive decisions
Structured problem framing quickly identifies the highestleverage wedge and measurement plan
Builder mindset ships working systems rapidly demos are grounded in real integrations
Judgment trust knows where agents must be constrained designs for safe autonomy
Repeatability turns oneoff wins into reusable playbooks and accelerators
Working model
Travel expected client workshops PoVs exec meetings
Operates in tight pods with Sales Industry leaders BlueVerse productplatform teams and delivery squads
Strong bias toward handson building this role is not purely advisory
Equal opportunity statement

Work arrangement
Yes

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