Manager/Principal/Senior Principal Forward Deployed Engineer (FDE) – Agentic, Americas

Job Description

Forward Deployed Engineer (FDE) – Agentic, Americas

Role Type: 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). 
Level: Manager/Principal/Senior Principal
Business Unit: Enterprise AI Platforms & Agentic Solutions
Reporting to: Artificial Intelligence Leader, North America

Company Overview:

Our client is IT Company and they specialized in enabling digital transformation for enterprises and technology providers by delivering seamless customer experiences, business efficiency and actionable insights. 

​​​​​ ​​​​Role summary

Our client is building and scaling enterprisegrade GenAI + Agentic AI capabilities (Foundry, orchestration, governance/AgentOps, accelerators, and verticalized agents) across Fortune 2000 clients.

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 sssenior leaders to identify a highvalue wedge, build a working proof in weeks, and translate that into a clear path toward MVP and scaled rollout on client company or nay hyper-scaler platforms.

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

Key Responsibilities

1) Executive-facing discovery & value shaping

• Partner with Sales, Client Partners, and 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 trade-offs 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 trustworthiness
• Implement agent workflowswith tooluse, integration to enterprise systems, and lightweight UI/experience for stakeholder clarity.
• Create 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.

4) Solution architecture on client ecosystem

• Design solutions using constructs or hyper scaler Agentic AI foundations (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) Deal acceleration & 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.
• Contribute to BlueVerse thought leadership and field playbooks (industry use cases, POV patterns, autonomy ladder constructs, commercial hooks).

What success looks like (12-month outcomes)

• Time-to-first-value: PoVs that reliably land in weeks with measurable outcomes.
• Conversion: Strong PoV to MVP conversion rate (and clear roadmap to scale).
• Executive confidence: CXO trust built through crisp narratives + working systems.
• Reusable assets: Field-ready accelerators that reduce PoV cycle time quarter over quarter.
• Scalability: PoVs designed with production realities in mind (security, o