Senior AI Architect

Location: 1230 West Morehead Street, 28208 Charlotte, United States

Responsibilities

• 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.
• 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.
• 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

• 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.
• Deep expertise in at least two of the following technology ecosystems: AWS, Microsoft Azure, Google Cloud Platform, Databricks, OpenAI, Anthropic, NVIDIA.
• Strong command of cloud architecture patterns — networking, security, compute, storage, and managed AI/ML services.
• Solid understanding of the data and AI landscape: classical ML, deep learning, generative AI, autonomous agents, and data engineering.
• Proven ability to engage with senior client stakeholders (CIO, CISO, VP Engineering) and translate business needs into technical solutions.
• Excellent communication and presentation skills — able to convey complex technical concepts to both technical and non-technical audiences.
• Strong problem-solving skills and ability to make sound architectural trade-offs under uncertainty.
• Fluent in French; professional proficiency in English.
• Legally authorized to work in the United States at the time of application and throughout employment; this position is not eligible for employment visa sponsorship.

Skills

• Hands-on coding ability (Python, Terraform/IaC, or similar) for prototyping and technical validation.
• Experience with MLOps / LLMOps tooling and production deployment pipelines.
• Professional-level certifications (e.g., AWS Solutions Architect Professional, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, Dat