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Remote in Argentina, & 4 others
AI Solution Engineering& 2 others
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We are seeking an AI Solution Architect to design and lead the build of a governed AI platform and agentic delivery factory that teams can run independently after rollout. You will define the reference architecture, security model, and operating standards while guiding a small build team.
Responsibilities
- Define the reference architecture for a governed AI platform and agentic delivery factory
- Design the platform components, including agent runtime, gateways, plugins, marketplace, secrets, telemetry, observability, and cost controls
- Document build-versus-managed decisions and secure sign-off at key delivery gates
- Own the security and identity model, including SSO integrations, API token handling, and least-privilege access for agents
- Design guardrails for agent actions across source code, pipelines, and healthcare data workflows
- Design the agentic PDLC flow with human gates for specification, design, merge, and release
- Connect orchestration to Azure DevOps using work item triggers, CI hooks, and gate approvals
- Define the context layer standards agents use, including repo mapping, conventions, decision records, and testing practices
- Implement evaluation strategy in CI with thresholds that promote agents from supervised to shadow to autonomous
- Set rules for publishing agents to a marketplace, including ownership, versioning, and review requirements
- Establish token budgets and provide per-agent and per-work-item cost visibility through telemetry
- Lead two AI-native engineers through design reviews, PR reviews, and targeted hands-on coding
- Co-build infrastructure in the client AWS account alongside the platform engineer
- Harden the platform, author a runbook, and transition operations to the client team by the end of Month 4
- Present architecture trade-offs and progress in weekly working sessions and gate reviews with senior stakeholders
Requirements
- 3+ years of experience in AI solution engineering and architecture roles
- Hands-on architecture leadership skills to guide engineers and drive design decisions
- Project delivery experience in time-boxed engagements with measurable outcomes
- Strong cloud platform knowledge, including AWS account-level design constraints
- Strong security and identity knowledge, including SSO, tokens, and least-privilege access
- Strong DevOps integration skills with Azure DevOps repos, boards, and CI/CD pipelines
- Upper-Intermediate English proficiency (B2)
Nice to have
- AWS Bedrock experience for model access and governance