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What is the role of a Senior AI Systems Architect at Jobgether?

The Senior AI Systems Architect position at Jobgether is a Full-time or part-time position opportunity in the Information Technology field.

Where is this Senior AI Systems Architect job located?

Brazil, Indiana, 47834, United States

What type of employment is offered for this Senior AI Systems Architect role?

Full-time or part-time position

What is the expected salary for this Senior AI Systems Architect job?

Compensation will be discussed during the hiring process.

Senior AI Systems Architect job near me in Brazil, Indiana at Jobgether

Senior AI Systems Architect

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Systems Architect based in Brazil.

This role sits at the forefront of AI-driven software engineering transformation, shaping how modern systems are designed, built, and evolved through agentic AI workflows. You will lead the definition of AI-first architectures that reimagine traditional SDLC practices into autonomous, intelligent systems powered by specialized agents. The scope spans across engineering, DevOps, QA, product, and operations, requiring a strong systems-thinking mindset and deep architectural expertise. You will design scalable ecosystems where AI agents collaborate, execute tasks, and continuously improve software delivery processes. This is a highly strategic and hands-on role, combining platform architecture, AI engineering, and innovation leadership. You will operate in a complex enterprise environment, influencing both technical direction and engineering culture.

Accountabilities:

Design and orchestrate end-to-end AI-driven workflows across the software development lifecycle, from requirements definition to deployment, operations, and continuous improvement.
Architect agent-based systems that enable autonomous execution of engineering tasks, promoting an AI-first approach to software delivery.
Build and evolve specialized AI agents for development, QA, DevOps, product management, and operational support functions.
Define strategies for context management, prompt engineering, and token optimization to ensure efficient and reliable LLM performance.
Structure and maintain knowledge bases, architectural decision records (ADRs), and technical documentation to ensure consistency and reuse across AI systems.
Develop evaluation frameworks (Evals) to monitor agent quality, accuracy, and behavior, driving continuous improvement and reducing hallucinations.
Ensure compliance with internal standards, security policies, and architectural governance across all AI-driven systems.
Act as a technical reference for the evolution of AI platforms and multi-agent ecosystems applied to software engineering.

Requirements:

Strong background in Software Architecture, Platform Engineering, or Senior Software Engineering roles with enterprise-scale systems experience.
Proven experience designing distributed systems, APIs, and microservices-based architectures.
Hands-on experience with Agentic AI workflows, AI engineering, or applying LLMs within the software development lifecycle.
Strong expertise in prompt engineering, context management, and optimization of LLM interactions.
Ability to translate business logic and technical knowledge into structured workflows and agent-based heuristics.
Solid understanding of observability, monitoring, and system behavior analysis in production environments.
Experience with scalable system design and engineering best practices, including reliability and performance considerations.
Strong analytical thinking, problem-solving ability, and strategic architectural vision.
Advanced English proficiency for technical communication and documentation.

Differentials:

Experience with Python development.
Knowledge of RAG (Retrieval-Augmented Generation) architectures.
Exposure to MCP (Model Context Protocol) and tool-augmented AI systems.
Experience with multi-agent systems and autonomous workflow design.
Familiarity with ML concepts such as fine-tuning and model evaluation.
Experience with observability tools such as Datadog.
Background in telecom, billing, or payments systems.
Exposure to AI platform engineering, Harness engineering, or AI-driven SDLC frameworks.

Benefits:

Health and dental insurance coverage
Meal and food allowance
Childcare assistance program
Extended parental leave
Wellness programs and gym partnerships (Wellhub / TotalPass)
Profit sharing (PLR)
Life insurance coverage
Continuous learning platform with technical courses and certifications
Discounts and employee perks platform
Mental, physical, and well-being support resources
Parenting and gestation support programs
Language learning and online education platforms.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Senior AI Systems Architect in Brazil, Indiana at Jobgether

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