Forward Deployed Engineer (FDE) – Agentic, Americas

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. * Repeatability: turns one-off wins into reusable playbooks and accelerators. Show more Show less