AI Language Model; LLM) Technology Lead​/Principal Architect

AI Large Language Model (LLM) Technology Lead/Principal Architect

Career Level:

Manager / Senior Manager / Associate Director

As a Lead or Principal AI Architect, you will serve as the definitive technical authority on AI architecture within client engagements and across the practice. You will own the complete, end-to-end architecture of advanced AI platforms and solutions - spanning classical machine learning, generative AI, and agentic systems - ensuring every domain of the architecture is cohesively designed, technically sound, and purposefully aligned to client business objectives and enterprise-grade standards.

A defining dimension of this role is your ability tooperateat the executive level - working closely with CIOs, CTOs, and senior business leaders to help shape and articulate the enterprise AI strategy. You will connect business goals, priorities, and transformation agendas to a coherent technical vision, ensuring AI investments are purposeful, sequenced, and positioned to deliver lasting competitive advantage. This strategic partnership with client leadership distinguishes you as both a trusted advisor and a principal architect.

In this role, you will lead and integrate the work of multiple domain architects and subject matter specialists - across areas such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, and model platforms and inference - providing the architectural vision, technical governance, and cross-domain coherence that binds their contributions into a unified, enterprise-ready system.

You will set the architectural direction, resolve cross-domain tensions, and makethe critical design decisions that shape the entire AI solution. Beyond client delivery, you will be recognized as a thought leader and leading authority in AI - staying at the forefront of the latest research, emerging standards, industry innovations, and evolving technology landscapes. You will actively shape the practice's AI architecture point of view, contribute to internal knowledge, frameworks, and reusable assets, and represent the firm externally through publications, conference engagements, and client advisory conversations.

Your perspective on where AI is heading will besought by clients, practice leadership, and peers alike.

• Partner with CIOs, CTOs, and business leaders to shape the enterprise AI strategy, connecting business goals to a coherent, sequenced technical vision

• Lead enterprise AI assessments and build enterprise AI implementation roadmaps that sequence investments for lasting competitive advantage

• Own the complete, end-to-end technical solution for complex AI platforms - ensuring every domain is cohesively designed and aligned to businessobjectivesand enterprise standards

• Translate the governing architecture principles into a concrete, defensible technical solution that domain teams build against

• Build innovative prototypes and proofs of concept hands-on, using emerging technologies to de-risk decisions and prove value early

• Perform technology assessments and comparisons, making definitive, evidence-based recommendations on tools, frameworks, and platforms

• Set the architectural direction for model- and tool-agnostic multi-agent ecosystems - orchestration, memory, and tool/skill use - governed through a registry-bound AI Gateway

• Establish the agent registry and certification model that mandates no uncertified agent reaches production

• Define memory as a first-class abstracted platform service, decoupled from any underlying vendor engine

• Define the foundation model and inference strategy - adaptation, fine-tuning, and dynamic cost/quality/latency-aware routing

• Set the standards for high-throughput, low-latency…