AI Engineer & Software Architect
New
J
JobgetherIT Security
Based in BrazilFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Required Skills
- Distributed Systems
Requirements
- Solid experience designing AI/ML system architectures for production or pre-production environments.
- Strong knowledge of distributed systems, APIs, enterprise integrations, and architectural design principles.
- Experience evaluating build-versus-buy-versus-prototype decisions and clearly communicating technical trade-offs.
- Ability to design both conceptual and evolutionary architectures rather than focusing exclusively on a final-state solution.
- Professional experience with cloud platforms such as GCP, AWS, or Azure.
- Familiarity with data warehouses and lakes, data pipelines, and feature pipelines.
- Experience integrating enterprise LLM gateways or multi-model proxies.
- Knowledge of vector databases and RAG architectures.
- Strong understanding of API security, SAST/DAST, data privacy, and regulatory requirements such as LGPD and GDPR.
- Experience using ADRs to maintain traceable architectural decisions.
- Knowledge of MCP and A2A principles.
- Strong systems thinking and ability to explain technical decisions to non-technical stakeholders.
Responsibilities
- Design the conceptual architecture for AI prototypes and define practical paths for their evolution into scalable capabilities.
- Assess technical and data feasibility in close collaboration with Data Science and AI Engineering teams.
- Design and oversee secure integrations with corporate CRM platforms, behavioral and transactional data platforms, and enterprise LLM gateways.
- Apply open orchestration standards and principles such as MCP and A2A to minimize vendor dependency and avoid unnecessary lock-in.
- Document architectural decisions through clear Architecture Decision Records (ADRs), including alternatives, trade-offs, and rationale.
- Ensure appropriate security, privacy, and data compliance practices, including PII masking, access controls, and decision auditing.
- Collaborate with Product, Data Science, and business specialists to translate validated hypotheses into sustainable technical architectures.
- Evaluate inference costs, scalability, and operational feasibility using FinOps principles to support Go/No-Go decisions.
- Prepare comprehensive technical handoffs when validated initiatives move into scaled delivery.
View Full Description & ApplyYou'll be redirected to the employer's site
