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Intellias
Frontend
Solution Architect, AI SDLC
cloud-native architectureAI/MLLLMagent frameworksRAGVector DatabaseMLOpsenterprise architectureAI engineering platformsLLM orchestrationCI/CDDevSecOpsAI governance frameworksMicroservicesEvent-Driven ArchitectureKubernetesAzureAWSGCP
About the Position
Intellias is looking for a Solution Architect to lead the design of an enterprise-grade AI Agent Platform, defining architecture and AI SDLC standards for a global enterprise client.
Responsibilities
- Define enterprise architecture and engineering standards for AI-enabled development.
- Create frameworks, reference architectures, and reusable platform capabilities.
- Act as the ultimate escalation point for complex technical decisions.
- Lead adoption of AI-assisted software engineering practices.
- Establish standards for prompt engineering, agent-based development, AI testing, AI observability, and AI governance.
- Drive AI integration throughout the software development lifecycle.
- Champion Domain-Driven Design (DDD), Behaviour-Driven Development (BDD), and Test-Driven Development (TDD).
- Define best practices for automated code generation, review, validation, and deployment.
- Establish engineering metrics and quality gates.
- Ensure responsible AI implementation.
- Define controls around security, privacy, bias, explainability, and compliance.
- Collaborate with architecture, security, legal, and governance teams.
- Mentor senior engineers and technical leads.
- Drive engineering capability development and innovation.
- Represent the organization in executive technical discussions.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or equivalent experience.
- 12+ years of software engineering experience.
- 5+ years leading architecture or platform engineering initiatives.
- Deep expertise in cloud-native architecture and distributed systems.
- Strong understanding of modern AI/ML technologies, LLMs, agent frameworks, RAG, vector databases, and MLOps.
- Enterprise architecture
- AI engineering platforms
- LLM orchestration
- RAG and knowledge systems
- CI/CD and DevSecOps
- AI governance frameworks
- Microservices and event-driven architectures
- Kubernetes and cloud platforms (Azure/AWS/GCP)
Who to contact
Solution Architect, AI SDLC
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