
Senior Solutions Architect
AGGRANDIZE
full-time
Posted on:
Location Type: Remote
Location: Brazil
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Job Level
Tech Stack
About the role
- Define and govern the enterprise architecture for AI solutions integrated into the systems and data ecosystem;
- Ensure security, scalability, interoperability, compliance, and value realization;
- Act as a bridge between business, engineering, data, security, and platform teams, guiding end-to-end architectural standards and decisions;
- Design the solution's multi-agent architecture, ensuring efficient orchestration among specialized agents across the customer journey;
- Orchestrate the work of specialized AI agents, defining roles, tools, and rules for each stage of the e-commerce process;
- Define and structure prompts, policies, and guardrails to ensure consistent, safe behavior aligned with brand guidelines;
- Ensure security, privacy, and regulatory compliance (LGPD), preventing data leaks and protecting against prompt-based attacks;
- Create technical documentation and engineering standards, including agent contracts, prompt templates, and operational guidelines.
Requirements
- Knowledge of Azure, Databricks, Data Factory, and GCP;
- Strong software engineering background;
- Experience with GenAI, LLMs, MLOps, MLMMs, LLMOps, AgentOps, and MLflow;
- Experience with RAG (Retrieval-Augmented Generation);
- Knowledge of SQL, Python, and Spark;
- Experience with LangGraph;
- Knowledge of Data Lakehouse architecture.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
GenAILLMsMLOpsMLMMsLLMOpsAgentOpsMLflowSQLPythonSpark
Soft Skills
communicationleadershiporganizational