Forward Deployed Engineer (FDE) - Agentic, Americas

Job Description

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Forward Deployed Engineer (FDE) – Agentic, Americas_Remote (Hartford, CT,Atlanta, GA,Daytona, FL,Houston, TX)_Full-Time(FTE)_Direct Hire

Position Title: Forward Deployed Engineer (FDE) – Agentic, Americas

Job Type: Full-Time

Base Salary: $200,000 to $250,000 + Best-in-class benefits

Location: Remote (Hartford, CT,Atlanta, GA,Daytona, FL,Houston, TX)

Willing to relocate to one or more of the following locations?

• Hartford, CT
• Atlanta, GA
• Daytona, FL
• Houston, TX

Job Description:

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 the company 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, observability, cost, controls).

Required Qualifications:

• 8+ 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:
• LLMs / agent patterns: orchestration, tool-calling, planning/execution loops, memory patterns
• RAG & knowledge: embedding strategies, chunking, vector databases, retrieval evaluation
• Evaluation: offline + online evals, regression suites, safety tests/red-teaming basics
• Strong software engineering fundamentals: APIs, data pipelines, integration, distributed systems basics.
• Proficiency in Python + one of (TypeScript/Java/Go); comfortable across frontend + backend as needed.
• Cloud-native experience (AWS/Azure/GCP), containers, CI/CD, and observability fundamentals.
• Exceptional communication: can translate technical complexity into business impact for senior stakeholders.

Preferred Qualifications:

• Proven delivery of GenAI/agentic solutions in production (not only prototypes).
• Experience integrating with enterprise platforms: ServiceNow, Salesforce, SAP, Microsoft (Graph/O365), Databricks/Snowflake, etc.
• Experience with security & governance for GenAI: data boundaries, access control, auditability, model risk, compliance evidence.
• Familiarity with LLMOps/AgentOps concepts: versioning, telemetry, drift monitoring, cost governance (FinOps).
• Domain depth in one or more LTM focus verticals (Travel/Transportation/Hospitality, Retail/CPG, BFSI, Manufacturing, Media).
• Relevant certifications (cloud, security, data) are a plus.

Compensation:

*Full-time

*Benefits - Full

*Relocation Assistance Available - Possible for ideal candidate

Candidate Details:

*7+ to 10 years experience

*Seniority Level - Director

*Minimum Education - Bachelor's Degree

*Willingness to Travel - Occasionally

Ideal Candidate:

Core competencies (what distinguishes top performers)

• Executive presence: credible with CXOs; can run a room and drive decisions.
• Structured problem framing: quickly identifies the highest-leverage 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. xhyhwjd
• Repeatability: turns one-off wins into reusable playbooks and accelerators.