AI Architect

Description

**Job Description:** We are looking for an **AI Architect** to design, implement, and evolve the architecture of generative AI solutions and autonomous agents for the company on AWS, with advanced use of **Amazon Bedrock and AgentCore**. This person will be responsible for ensuring that solutions are scalable, secure, performant, and cost-optimized, serving as a technical reference for Engineering and Product teams. **Responsibilities:** \\Design the architecture of generative AI solutions and autonomous agents on AWS, from design to production operation, considering scalability, resilience, and security. \\Define the reference architecture for AI agents (agentic AI), using Amazon Bedrock and AgentCore as the main base, integrating with other AWS services. \\Lead technical decisions on RAG (Retrieval\-Augmented Generation), agent orchestration, and integration with external tools/APIs in a production environment. \\Structure LLMOps pipelines (prompt/model versioning, CI/CD, monitoring, observability) using native AWS and market tools. \\Ensure best practices for security, governance, and cost control (FinOps) in the proposed AI architectures. \\Evaluate and recommend the most suitable AWS services for each use case (e.g., Bedrock, Bedrock AgentCore, Lambda, Step Functions, OpenSearch, among others). \\Act as a technical reference in architecture discussions with Engineering, Security, and Product teams. \\Document architectural decisions (ADR), patterns, and technical guidelines for reuse across squads. \\Follow trends and news from AWS and the AI market, proposing continuous evolutions in the architecture. **Other Requirements and qualifications, tools, skills, courses, and certifications:** \\Solid experience as a Solutions Architect or AI Architect, with strong mastery of AWS. \\In-depth knowledge of Amazon Bedrock and AgentCore, as well as related services such as Lambda, Step Functions, among others. \\Practical experience with generative AI (LLMs, RAG) and autonomous agent architectures (agentic AI). \\Mastery of LLMOps concepts: prompt/model versioning, CI/CD pipelines, observability, and production monitoring. \\Knowledge of cloud security best practices (IAM, encryption, VPC, access control to data and models). \\Experience with infrastructure as code (e.g., Terraform, CloudFormation, CDK). \\Relevant AWS certifications are a plus (e.g., AWS Certified Solutions Architect – Professional, AWS Certified Machine Learning – Specialty). \\Degree in Computer Science, Engineering, or related fields. **Desirable:** knowledge in Data (data architecture, ingestion pipelines, data quality, and governance) to support AI solutions that depend on well-structured databases. **MJV Benefits:** TotalPass\\Wellhub; ‍‍‍‍ Group life insurance; Meal/Alimentation Voucher; Health and dental plan \- Bradesco; Training actions: lectures, forums, exchanges, and conversations regarding our business. We are constantly connected to learn more and together; +MJVer Program: internal referral program where you refer a colleague to work with us, and if that relationship is a match, you win a prize. Partnerships: want a discount? We have a group on Workplace where we announce partnerships with educational institutions, language schools, gyms, restaurants, products, and other services.