Forward Deployed Engineer (FDE) – Agentic AI, Americas

Confisa International Group

17d•Hybrid

About The Position

This role is a client-facing, hands-on engineering and solutioning position within the Enterprise AI Platforms & Agentic Solutions business unit. The company is a global technology consulting and digital solutions provider focused on enabling enterprises to reimagine their operations, competition, and growth through deep domain knowledge, advanced engineering, and transformation expertise. The Enterprise AI business unit specifically helps organizations move beyond pilots to scaled, production-grade AI adoption, offering consulting, an AI Foundry, and agentic AI platforms. The role involves building and scaling enterprise-grade GenAI + Agentic AI capabilities for Fortune 2000 clients, operating at the intersection of executive problem framing, rapid engineering, and scalable architecture. The Forward Deployed Engineer will engage directly with client CXOs and senior leaders to identify high-value opportunities, build working proofs of concept within weeks, and translate these into clear paths toward Minimum Viable Product (MVP) and scaled rollout on cloud platforms. The focus is on shipping real agentic systems, not just presentations.

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 while maintaining sound architecture instincts.
Strong experience with modern AI stacks, including LLMs/agent patterns (orchestration, tool-calling, planning/execution loops, memory patterns).
Experience with RAG & knowledge (embedding strategies, chunking, vector databases, retrieval evaluation).
Experience with 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.
Cloud-native experience (AWS/Azure/GCP), containers, CI/CD, and observability fundamentals.
Exceptional communication skills to 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.
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 leadership to run CXO-level working sessions that translate business pain into an Outcome Thesis.
Identify a "thin-slice" wedge for a rapid Proof of Value (PoV) that is high-signal, measurable, low-dependency, and enterprise-relevant.
Communicate trade-offs clearly regarding automation vs. assistance, human-in-the-loop requirements, and safe scaling.
Build a rapid PoV demonstrating business impact and technical feasibility, implementing agent workflows with tool use, enterprise system integration, and lightweight UI.
Create initial evaluation harnesses to capture baseline vs. PoV lift.
Produce a scalable Agentic Blueprint detailing agent roles, orchestration patterns, tools/APIs, data/knowledge strategy, guardrails, observability, and Human-In-The-Loop (HIL) escalation.
Define MVP backlog and architecture decisions, including identity/access, audit, logging, fallback design, policy boundaries, and deployment model.
Handoff cleanly to delivery teams 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, integrating with enterprise applications.
Ensure alignment with enterprise security, privacy, and compliance requirements.
Serve as a technical closer in competitive pursuits through demos, workshops, and architecture deep dives.
Create reusable accelerators such as prompt packs, workflow templates, connectors, evaluation suites, and reference architectures.
Contribute to thought leadership and field playbooks.