LATAM Solutions Architect – Digital & AI Solutions

Talenses; São Paulo; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A global technology organization is seeking an Engineering Lead in São Paulo, Brazil, to guide the development of innovative digital and AI solutions. You will define software engineering standards, lead diverse technical teams, and translate business challenges into scalable solutions. The role requires over 8 years of experience in software engineering, strong leadership, and proficiency in programming languages like Python and C#. Fluency in English is essential for global collaboration.

Qualificações

• 8+ years in software engineering, including experience as a Tech Lead or Engineering Manager.
• Strong background in software development (Web & Mobile).
• Proven track record of leading technical teams in designing scalable solutions.

Responsabilidades

• Define and drive software engineering standards and modular development practices.
• Lead, coach, and inspire multidisciplinary teams.
• Translate business challenges into scalable digital solutions.

Conhecimentos

Python

C#

React

Microservices

Containers

Leadership

Communication

Strategic thinking

Formação académica

Degree in Computer Science, Engineering, or related field

Master's degree (preferred)

Ferramentas

Azure

Descrição da oferta de emprego

Location: São Paulo, Brazil

Level: Technical Leadership

About the Role

We are seeking an Engineering Lead to lead the development of cutting-edge digital and AI-driven solutions within a global technology organization. This position will act as the right hand to senior engineering leadership , combining deep technical expertise with strong management skills.

The Engineering Lead will play a critical role in shaping and scaling modular, containerized solutions that integrate seamlessly across distributed systems. You will balance hands-on coding with technical leadership and team management , ensuring delivery excellence while fostering a high-performance culture.

This is a highly visible role within a global environment, requiring strong communication skills, the ability to connect technology with business outcomes, and experience in building scalable, future-ready solutions.

Key Responsibilities

Technical Leadership & Architecture

• Define and drive software engineering standards, modular development practices (“lego-box” approach), and containerized architectures.
• Provide architectural guidance for distributed and cloud-native systems, ensuring alignment with global standards.
• Act as a technical authority, owning technical choices and actively contributing to the codebase when needed.
• Ensure high-quality delivery of digital and AI solutions, from system design to deployment and ongoing operations.

Team Leadership & Management

• Lead, coach, and inspire multidisciplinary teams including software engineers, data engineers, data scientists, MLEs, and SREs.
• Promote best practices in software development, CI / CD pipelines, and modern DevOps methodologies.
• Foster a collaborative and innovative environment that encourages professional growth and continuous learning.
• Collaborate closely with global engineering leaders, product managers, and business stakeholders to ensure technology strategy is aligned with organizational goals.

Product & Business Alignment

• Translate business challenges into scalable digital solutions, balancing technical innovation with operational value.
• Work alongside product and business leaders to ensure solutions meet both functional and strategic objectives.
• Guarantee that regional developments integrate into a cohesive global ecosystem of modular solutions.

Delivery & Operations

• Oversee delivery quality and speed, ensuring robust code, data pipelines, and deployment practices.
• Address issues at the right level (individual, team, or system) with proper prioritization.
• Ensure global coherence across products while meeting local business needs.
• Contribute to the development and deployment of AI agents and generative AI solutions in real-world environments.

Qualifications & Experience

Education

• Degree in Computer Science, Engineering, or related field (Master’s preferred).

Experience

• 8+ years in software engineering, including experience as a Tech Lead or Engineering Manager in a scale-up or large organization.
• Strong background in software development (Web & Mobile) with proficiency in Python, C#, React, microservices, containers, and modular architectures.
• Solid experience with cloud platforms (Azure preferred), CI / CD practices, and distributed systems.
• Proven track record of leading technical teams in designing and delivering scalable, robust digital solutions.
• Practical exposure to AI / ML projects, including development of intelligent agents and generative AI deployments.
• Experience with technical recruitment, onboarding, and upskilling of engineering teams.
• Fluency in English (essential, global collaboration required).

Soft Skills

• Strong leadership presence, capable of inspiring and guiding diverse technical teams.
• Excellent communication skills, able to clearly explain complex technical concepts to business stakeholders.
• Strategic mindset, aligning technology vision with business outcomes.
• High adaptability to work in global, multicultural environments.
• Empathy, accountability, and resilience to drive performance under pressure.