Solution Architect - (GenAI, RAG, LLM, Azure)
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Key skills for this role
About the Role
Responsible for designing and delivering generative AI solutions, requiring expertise in Azure, security architecture, and compliance in regulated sectors.
Key Skills for This Role
Responsibilities
- Own solution architecture for generative AI products across enterprise agentic applications, copilots, and RAG platforms
- Design RAG pipelines, agent orchestration, and LLM integration patterns at scale
- Author high level and low level designs and guide them through architecture review boards
- Define reusable reference architectures, patterns, and blueprints
- Embed Zero Trust, data sovereignty, PDPL aligned data handling, and encryption by default
- Translate product requirements into architecture and decompose designs into actionable engineering work
- Partner with security, infrastructure, and networking teams to drive solutions through accreditation and into production
- Support vendor and proof of concept evaluations including technical scoring against RFP criteria
Requirements
- Senior level experience in solution architecture for generative AI
- Experience with RAG pipelines, LLM integration, and agent orchestration
- Expertise in cloud native architecture (Azure preferred)
- Knowledge of security frameworks (Zero Trust, data sovereignty, encryption)
- Ability to author high level and low level designs
- Experience with architecture review boards and security accreditation
- Strong stakeholder management and communication skills
Full Job Posting
Discover the Opportunity
- We are hiring a Senior Solution Architect to join a prestigious organization operating within a highly regulated sector.
- This position acts as the senior technical authority responsible for guiding the design and delivery of large scale generative AI solutions within a highly compliant enterprise framework.
Discover the Role
- As a Solution Architect, you will own the end to end solution architecture from initial discovery and high level design through to low level design, security accreditation, and final implementation.
- You will work at the intersection of generative AI, cloud native architecture, and strict compliance environments to shape architectural standards, guide delivery teams, and engage with executive stakeholders.
Discover the Responsibilities
- Own solution architecture for generative AI products across enterprise agentic applications, copilots, and RAG platforms spanning web and mobile channels.
- Design RAG pipelines, agent orchestration, and LLM integration patterns at scale including model routing, evaluation harnesses, guardrails, caching, and cost controls.
- Author high level and low level designs to house standards and guide them through architecture review boards for approval.
- Define reusable reference architectures, patterns, and blueprints that accelerate delivery across the platform.
- Embed Zero Trust, data sovereignty, PDPL aligned data handling, and encryption by default across all solution designs.
- Translate product requirements into architecture with product managers and decompose designs into actionable engineering work for delivery teams.
- Partner with security, infrastructure, and networking teams to drive solutions through accreditation and into production.
- Support vendor and proof of concept evaluations including technical scoring against RFP criteria.
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