Principal Architect - LLM Performance

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.

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). 

Skills & Attributes for Success

• Strategic agentic AI deals closed and successfully deployed to production. 

• Reusable agentic patterns and guardrails adopted across teams. 

• Measured customer outcomes (automation impact, cycle-time reduction, quality improvements).

Qualifications:

• 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. 

Ideally, You’ll Also Have:

• 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. 

What we look for

At G42, we look for people who share our ambition to build a future to believe in. You see opportunities in complexity and move with pace to turn vision into reality. You think big, act decisively, and embrace AI as a catalyst for progress. You build trust through collaboration, seek out diverse perspectives, and turn ideas into tangible impact. You challenge assumptions, simplify the complex, and work with intention. Above all, you take ownership for outcomes, for growth, and for shaping solutions that matter to our customers, communities, and the world.