Ai Architect

The ideal candidate will be technically strong but also has a proven track record of leading and executing technical projects and presenting to C-suite. The role requires the ability to travel up to 80% of the time (though it will likely be quite a bit less throughout the year depending on the client/project).
7+ years of experience in software engineering, AI/ML engineering, data engineering, or cloud architecture.
Proven experience designing distributed systems and cloud-native architecture.
Strong understanding of the ML model lifecycle, AI infrastructure, and scalable system design.
Expertise in API design, integration patterns, microservices, and event-driven architectures.
Ability to lead architectural decision-making and align technical solutions with business needs.
About AI Transformation:
Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art technologies, modern architecture, and industry experts to create AI-powered solutions that transform the way our clients do business.
The new AI Transformation team will build on established AI foundation, furthering the capabilities of our Applied AI / Machine Learning team. By combining Generative AI, Machine Learning and Software Engineering, this team empowers clients to transform their business models through AI, irrespective of their current AI adoption stage.
As a member of AI Transformation, you will help distinguish in the market and drive the firm's technology and innovation strategy. The future is powered by AI, come build it with us.
About the Team:
We invest in expertise. You'll have the time, space, and support to go deep in your projects and build lasting technical and strategic mastery.

You'll work with developers, product stakeholders, and project managers as a trusted leader and domain expert.
We believe in continuous growth. Our team is committed to professional development and knowledge-sharing.
We protect balance. Our distributed team culture is grounded in trust and flexibility. We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance.
About the Role
The AI Architect I (Manager) designs, governs, and evolves end-to-end architectural solutions that enable scalable, secure, and high-performance AI systems across the enterprise. This role partners closely with engineering, data, cloud infrastructure, security, and product teams to define technical standards, integration patterns, and frameworks that operationalize predictive and generative AI capabilities. As a manager-level architect, the role leads solution design, mentors' technical staff, facilitates architecture reviews, and ensures responsible AI, security, and governance standards are consistently applied to support a future-ready AI ecosystem.
Architect end-to-end AI solutions, including model training pipelines, inference platforms, retrieval-augmented generation (RAG) systems, and cloud ML platforms.
Lead cross-functional architecture and design reviews to ensure alignment with enterprise architecture standards and business objectives.
Collaborate with AI engineering, MLOps, Dev Ops, data engineering, and security teams to define scalable, secure, and reusable technical patterns.
Design model-serving and inference architectures optimized for latency, throughput, reliability, scalability, and cost efficiency.
Define integration patterns for large language models (LLMs), vector databases, APIs, microservices, and event-driven workflows.
Establish and document architectural standards, reference architecture, diagrams, and decision records for enterprise adoption.
Provide guidance on cloud architecture, Kubernetes-based ML platforms, GPU capacity planning, and AI infrastructure modernization.
Embed responsible AI, data governance, compliance, and security requirements into solution designs and architecture artifacts.
Partner with security teams to assess technical risk and mitigate AI-specific vulnerabilities.
Mentor senior engineers and contribute to technical skill development across teams.
Evaluate emerging AI platforms, frameworks, and cloud…