Forward Deployed Engineer (FDE) – Agentic AI, Americas

CONFISA INTERNATIONAL GROUP•USA, UA

18d•Hybrid

About The Position

This role is for a Forward Deployed Engineer (FDE) specializing in Agentic AI, focusing on the Americas region. The role is client-facing, involving hands-on engineering and solutioning from pre-sales through early delivery stages. The company is a global technology consulting and digital solutions provider that helps enterprises transform their operations and growth through deep domain knowledge, advanced engineering, and transformation expertise. The Enterprise AI business unit is dedicated to assisting organizations in moving beyond pilot projects to scaled, production-grade AI adoption, offering functional consulting, an AI Foundry, and agentic AI platforms. They work across various industries including Banking, Insurance, Manufacturing, Retail/CPG, Energy & Utilities, Travel & Hospitality, HiTech, and Media, developing repeatable AI solutions and accelerators aligned with business outcomes.

Requirements

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.

Nice To Haves

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 focus verticals (Travel/Transportation/Hospitality, Retail/CPG, BFSI, Manufacturing, Media).
Relevant certifications (cloud, security, data) are a plus.

Responsibilities

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.
Build a rapid PoV that demonstrates business impact + technical feasibility trustworthiness.
Implement agent workflows with tool use, 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.
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.
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.
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 thought leadership and field playbooks (industry use cases, POV patterns, autonomy ladder constructs, commercial hooks).