Back to SearchAI Solution Architect
Remote in Argentina, & 4 others
AI Solution Engineering& 2 others
Looking for something else?
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
Choose an option
We are seeking an AI Solution Architect to design and lead the build of a governed AI platform and agentic delivery factory that improves engineering throughput with strong security, quality gates, and cost controls. You will guide architecture decisions, co-build the platform with engineers, and ensure a smooth handover so the organization can run and extend it independently.
Responsibilities
- Define the reference architecture for a governed AI platform and agentic delivery factory
- Run architecture working sessions to align component ownership and platform boundaries with stakeholders
- Design core platform capabilities including agent runtime, gateways, marketplaces, secrets, telemetry, observability, and cost controls
- Decide and document build-versus-managed approaches and secure approval at key governance gates
- Own the security model with security, DevOps, and IT partners including SSO, token handling, and least-privilege policies
- Design guardrails for agent actions across code, pipelines, and sensitive data workflows
- Define agentic PDLC orchestration across planning, specification, build, verification, review, and release with human gates
- Integrate orchestration with Azure DevOps using work item triggers, CI hooks, and approval workflows
- Define the context layer for agents including repo maps, conventions, decision records, and testing and security standards
- Set up agent evaluations in CI and define thresholds for supervised, shadow, and autonomous promotion
- Define publishing rules for agent and plugin marketplaces including ownership, versioning, and review requirements
- Set token budgets and usage limits and provide clear visibility into cost per agent and per work item
- Lead and mentor two AI-native engineers through design reviews, pull request reviews, and targeted hands-on coding
- Deliver a hardened platform with runbooks and complete operational handover by the end of the engagement
Requirements
- 2+ years of experience in AI architecture and solution design for production platforms
- Hands-on architecture leadership experience guiding engineers through design and delivery decisions
- Strong project ownership skills to drive build-versus-managed decisions and obtain stakeholder sign-off
- Strong cloud platform knowledge for AWS-based architectures and services integration
- Strong DevOps integration skills with Azure DevOps repos, boards, and CI/CD pipelines
- Strong security and identity knowledge including SSO patterns, token management, and least-privilege access
- Strong communication skills to explain trade-offs clearly to senior technical and executive stakeholders
- Upper-Intermediate English proficiency (B2)
Nice to have
- AWS Bedrock experience for model access and governance