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.
Requirements
- Experienced Solution Architect
- Technical authority on client engagements
- Ability to translate complex business requirements into robust, scalable data and AI architectures
- Experience across cloud, machine learning, and generative AI domains
- Work directly with senior client stakeholders (CIO, CISO, Engineering leads)
- Define technical vision, remove impediments for delivery teams, and ensure architectural alignment with security, compliance, and cost constraints
Work Arrangement
Hybrid