Principal Enterprise Architect - AI

What you will do:
You will define and lead the technical vision for intelligent agent-based systems, ensuring they are designed, orchestrated, and scaled to meet the complex needs of the enterprise.
You will architect multi-agent systems that integrate large language models (LLMs), APIs, tools, and memory systems to enable autonomous and semi-autonomous workflows. By establishing robust frameworks, operational guardrails, and safety mechanisms, you will ensure these systems are secure, reliable, and compliant with governance and ethical standards.
Your focus will be on building scalable platforms that incorporate advanced capabilities such as retrieval-augmented generation (RAG), structured memory systems, and seamless integration with enterprise tools and data sources. You will collaborate closely with engineering and product teams, providing technical leadership, defining best practices, and guiding the development and deployment of innovative AI-driven solutions.
You will play a critical part in shaping the future of AI systems within the organization, driving transformative impact by enabling intelligent, scalable, and secure agent-based technologies that unlock new possibilities for business-critical workflows.

Who you will work with:
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
Continuous learning:
Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters:
From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community:
With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits:
On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your background:
Bachelor’s degree in computer science, engineering, or a related field; a Master’s degree is a plus
10+ years of experience in software or platform architecture, with at least 1 year of hands-on experience working with large language models (LLMs), AI platforms, or machine learning-driven systems
Demonstrated expertise in building or deploying AI agents or autonomous workflows, including a deep understanding of LLMs, prompt engineering, tool calling, and function execution
Proficiency in working with vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines, with hands-on experience in distributed systems and APIs
Hands-on experience with cloud platforms, including Kubernetes, and familiarity with event-driven architectures or workflow engines such as Temporal, Airflow, or Step Functions
Familiarity with multi-agent orchestration frameworks like LangGraph, AutoGen, CrewAI, or Semantic Kernel is highly preferred
Experience in designing and implementing AI governance, security, or compliance programs, including the creation of guardrails for safety, reliability, and ethical AI practices
Knowledge of observability tools and practices for AI systems, such as prompt tracing, cost tracking, and failure analysis
Expertise in system architecture, workflow orchestration, and automation, with a focus on building scalable, secure, and reliable systems
Proven experience in designing and deploying event-driven or distributed systems, including working with message queues and real-time data flow use cases
Strong communication and collaboration skills to work effectively with cross-functional teams, including engineering, product, legal, and risk teams, ensuring alignment across technical and business priorities