Senior AI Architect

AI & Tech

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Senior AI Architect

48 Wall Street, 10005 New York, United States

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Company Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting.

Job Description We are looking for an experienced Solution Architect to join our AI Platforms team. In this role, you will be the technical authority on client engagements — translating complex business requirements into robust, scalable data and AI architectures across cloud, machine learning, and generative AI domains.

You will work directly with senior client stakeholders (CIO, CISO, Engineering leads) to define technical vision, remove impediments for delivery teams, and ensure that architectural choices align with security, compliance, and cost constraints. You will also contribute to pre-sales activities by scoping solutions, estimating effort, and building technical proposals that win new business.

This is a staff-level individual contributor role embedded part-time in cross-functional project teams, with a clear path toward engineering management for those who choose it.

Client Architecture & Technical Leadership (~70%)

• Define and own the end-to-end technical architecture for data and AI projects — covering cloud infrastructure, data pipelines, ML/DL model serving, generative AI applications, and agent-based systems.
• Act as the primary technical point of contact for client stakeholders, aligning architectural decisions with business objectives, security policies, and regulatory requirements (GDPR, EU AI Act).
• Lead architecture reviews, design sessions, and technical governance forums to ensure quality and coherence across workstreams.
• Remove technical impediments for engineering teams and provide hands-on guidance when needed.
• Oversee the full project lifecycle: from advisory and assessments through prototyping (POC/MVP) to full-scale production deployment.
• Ensure solutions are designed for production readiness — addressing scalability, reliability, observability, and cost optimization.

Pre-Sales & Business Development (~30%)

• Support business development by contributing to technical scoping, architecture proposals, and effort estimations during the sales cycle.
• Participate in client presentations and workshops to demonstrate Sia’s technical capabilities and build trust.
• Identify expansion opportunities within existing accounts by surfacing new use cases and technical needs.

Knowledge Building & Mentoring

• Mentor junior consultants and engineers, helping them grow their architectural thinking and client-facing skills.
• Contribute to building internal IP, accelerators, and reference architectures that leverage frontier technological developments.
• Stay current on the evolving landscape of cloud services, AI frameworks, and industry best practices.

Qualifications Required

• Master’s degree in computer science, engineering, or a related field.
• 4 to 7 years of experience in solution architecture, cloud architecture, or a senior engineering role with significant design responsibilities.
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