Principal Architect - LLM Performance

G Forty Two General Trading LLC

19h

About The Position

AI is reshaping economies, enabling new scientific frontiers, and redefining what’s possible. G42 is powering this emerging Intelligence Age through a global, scalable, and secure Intelligence Grid. Founded in 2018, G42 is an AI conglomerate of over 10 companies that employs over 23000 employees and operates in over 30 countries.
G42 Americas led by CEO Ali Dalloul, is assembling an exceptional team committed to building the next generation of AI Infrastructure and Agent factory. The G42 Commercial organization, led by Philippe Battel, oversees the GTM strategy, revenue growth, customer success, strategic partnerships, product adoption, and market expansion, and hiring new talents.
Our company portfolio spans AI infrastructure, Agentic AI, cybersecurity, domain/industry‑specific AI applications, and emerging technologies, all anchored in our commitment to responsible, high‑performance AI at national scale.
G42 Americas is a place for builders and the problem solvers who want to build a leading, global AI powerhouse from the ground up. If you’re driven by purpose and inspired to define the future of AI, we invite you to connect with us.
Overview:
The Opportunity
You will be the technical authority for agentic AI strategic deals—designing enterprise-grade agent workflows, orchestration, tool integration, and governance. You’ll turn agentic AI from demos into production systems with clear controls, observability, and ROI.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or a related technical field; equivalent experience considered.
• 10–15 years in solution/enterprise architecture, including significant work with AI/ML and modern enterprise integration landscapes.
• Hands-on experience with LLM systems, tool-augmented workflows, and productionizing AI solutions.
• Ability to influence senior technical and business stakeholders.

Nice To Haves

• Experience with agent orchestration frameworks and evaluation tooling; familiarity with enterprise governance standards.
• Experience delivering AI solutions in regulated industries.
• Agent orchestration concepts (planning, routing, tool execution, memory strategies, HITL).
• Enterprise integration: APIs, eventing, identity, secrets, data platforms, and observability.
• Operational rigor: SLOs, incident playbooks, evaluation pipelines, and cost controls.

Responsibilities

• Lead end-to-end architecture for agentic AI solutions: orchestration, multi-agent patterns, tool/function calling, memory, and human-in-the-loop controls.
• Run discovery workshops to identify high-value agentic use cases and translate into solution blueprints and POV plans.
• Define evaluation and observability for agents: success metrics, error taxonomies, guardrails, and continuous improvement loops.
• Partner with security and platform teams to ensure data protection, access control, auditability, and responsible AI practices.
• Author technical sections for RFPs/proposals and act as design authority across implementation teams.
• Ability to travel frequently for customer workshops, data center / partner site visits, and exec meetings (typ. 25–40%, variable by deal stage).

Benefits

• Access a competitive compensation package including 401(k) retirement savings with employer contributions and premium medical, dental, and vision coverage.
• We prioritize your well-being with short- and long-term disability, life insurance, and paid time off aligned with applicable state laws.
• Tap into a suite of specialized benefits including legal assistance, wellness programs, adoption and fertility support, childcare assistance, and higher education subsidies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level