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Forward Deployed Engineer (FDE) – Agentic AI, Americas

  • Source: SmartRecruiters
  • CONFISA INTERNATIONAL GROUP
  • Remote
  • Concord
  • Full-Time
  • Mid level

Job Description

  • Role: ForwardDeployedEngineer(FDE)–AgenticAI,Americas
  • RoleType: Client-facing, hands-on engineering + solutioning (pre-sales through early delivery)
  • Location: Major US hub (e.g., New York, Bay Area, Dallas, Chicago – flexible for the right candidate). Travel Expected.
  • Level: Manager/Principal/Senior Principal
  • BusinessUnit:  (Enterprise AI Platforms & Agentic Solutions).
  • Reportingto:Artificial Intelligence Leader, North America.

About Company:

Global technology consulting and digital solutions company that enables enterprises across industries to reimagine how they operate, compete, and grow. By combining deep domain knowledge, advanced engineering, and transformation expertise, delivers measurable business impact at scale.

Enterprise AI business unit, purpose built to help organizations move beyond pilots into scaled, product iongrade AI adoption, functional consulting, an AI Foundry, and agentic AI platforms to deliver integrated solutions that transform how work gets done across the enterprise.Operating across Banking, Insurance, Manufacturing, Retail/CPG, Energy & Utilities, Travel & Hospitality, HiTech, and Media,  works closely with industry GTM teams to create repeatable AI solutions, accelerators, and transformation programs aligned to real business outcomes.

Rolesummary

Building and scaling enterprise grade GenAI+AgenticAI capabilities (Foundry, orchestration, governance/AgentOp, accelerators, and verticalized agents) across Fortune 2000 clients.

As a ForwardDeployedEngineer(FDE), you will operate at the intersection of executiveproblemframing,rapidengineering,andscalablearchitecture. You will engage directly with client CXOs and ssseni or leaders to identifyahighvaluewedge, build a workingproofinweeks, and translate that into a clear path toward MVP and scaled rollout on  or nay hyper-scaler platforms.

You will be embedded in deals and client journeys—shipping real agentic systems, not slides.

KeyResponsibilities 

1)Executive-facingdiscovery&valueshaping

  • Partner with Sales, Client Partners, and  leaders to run CXO-levelworkingsessions that translate business pain into an OutcomeThesis (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 trade-offs clearly: what to automate vs assist, where human-in-the-loop is required, and what “safe scale” entails.

2)RapidProofofValueengineering

  • Build a rapid PoV that demonstrates businessimpact+technicalfeasibility trustworthiness
  • Implement agent workflowswith tooluse, integration to enterprise systems, and lightweight UI/experience for stakeholder clarity.
  • Create initial evaluationharness (task success, accuracy, policy compliance, tool-call success, latency/cost) and capture baseline vs PoV lift.

3)Agenticblueprint&path-to-scalehandoff

  • Produce a scalable AgenticBlueprint: 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.

4)Solutionarchitecture+clientecosystem

  • Design solutions using constructsorhyperscalerAgenticAIfoundations (Foundry, knowledge fabric/RAG patterns, agent orchestration, governance, observability/AgentOps
  • Deploy across hyperscalers (AWS/Azure/GCP) and/or client environments; integrate with enterprise apps (e.g., ServiceNow, Salesforce, SAP, Microsoft stack).
  • Ensure alignment with enterprise security, privacy, and compliance requirements.

5)Dealacceleration&differentiation

  • Serve as a technical “closer” in competitive pursuits: demos, workshops, architecture deep dives, and technical validation.
  • Create reusable accelerators: prompt packs, workflow templates, connectors, eval suites, reference architectures—so future PoVs become faster and repeatable.
  • Contribu…

Skills

  • blueprint
  • guardrails
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • Servicenow
  • Salesforce
  • sap
  • crisp
  • Python
  • TypeScript
  • microsoft-typescript
  • Java
  • Golang
  • microsoft-graph
  • azure-databricks
  • databricks
  • Snowflake
  • drift
  • smartrecruiters

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