Senior GenAI Engineer — Agentic AI for Enterprise

CONFISA INTERNATIONAL GROUP; United States; Sur place; USD 180 000 - 240 000; Plein temps

Avantages offerts par ce poste

Comprehensive Medical Plan

401(k) Plan with match

Vacation & Paid Holidays

Life Insurance

Résumé du poste

CONFISA INTERNATIONAL GROUP seeks a Forward Deployed Engineer (FDE) – Agentic AI for the Americas. This client-facing, hands-on leadership role operates at the intersection of executive problem framing, rapid engineering, and scalable architecture, engaging directly with CXOs to identify high-value wedges and MVP routes.

Travel to major US hubs is expected. You will be embedded in deals and client journeys—shipping real agentic systems, not slides—designing scalable blueprints, MVP backlogs, and

Qualifications

• 8+ years in full-stack engineering/solution architecture and technical delivery.
• Strong client-facing delivery and executive storytelling.
• Experience with GenAI/agentic platforms and enterprise integrations.

Responsabilités

• Executive-facing discovery & value shaping with CXOs and sales teams.
• Rapid PoV engineering with tool use and enterprise integrations.
• Agentic blueprint: MVP backlog, architecture decisions, governance & deployment.
• Solution architecture across enterprise ecosystems and hyperscalers.
• Deal acceleration: demos, workshops, and field-ready accelerators.

Connaissances

Full-stack eng

Solution architecture

Technical consulting

Executive communication

Client engagement

GenAI/Agentic AI

Outils

Foundry

LLMs/Agent patterns

Description du poste

CONFISA INTERNATIONAL GROUP seeks a Forward Deployed Engineer (FDE) – Agentic AI for the Americas. This client-facing, hands-on leadership role operates at the intersection of executive problem framing, rapid engineering, and scalable architecture, engaging directly with CXOs to identify high-value wedges and MVP routes.

Travel to major US hubs is expected. You will be embedded in deals and client journeys—shipping real agentic systems, not slides—designing scalable blueprints, MVP backlogs, and