Sr. Manager, Software Architecture

Concentrix; Curitiba; On-site; BRL 500,000 - 750,000; Full time

Job summary

Concentrix is seeking a highly strategic Senior Manager, Software Architecture & AI Solutions in Curitiba to drive the technical evolution of our platform. You will lead a senior team of architects, define scalable standards, and guide AI solutions adoption across the SDLC.

You will interface with executives and engineering squads, enhance security and cost efficiency, and ensure cloud-native, resilient designs.

Qualifications

• Proven experience leading and managing senior technical teams, including Architects and Principal Engineers.
• Demonstrated experience as a Software Architect or Principal Engineer designing and building large-scale distributed systems.
• Strong expertise in architecting systems integrated with LLMs and traditional Machine Learning models.
• Hands-on experience implementing solutions using AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, and vector databases.
• Familiarity with MLOps/LLMOps practices, including model evaluation, versioning, drift monitoring, and inference API cost management.
• Strategic vision for leveraging AI to optimize the Software Development Lifecycle (SDLC).
• Deep understanding of microservices architecture, messaging systems, system resiliency, and API design.
• Extensive experience with enterprise cloud ecosystems such as Microsoft Azure, AWS, or Google Cloud Platform (GCP), as well as data architecture and Big Data environments.
• Experience working with Agile frameworks (Scrum/Kanban) and managing architecture backlogs.
• Excellent verbal and written communication skills, with the ability to influence and negotiate effectively with senior executive leadership.
• Strong sense of ownership, servant leadership mindset, and adaptability in rapidly evolving technology environments.

Responsibilities

• Design and govern standards for integrating Artificial Intelligence into enterprise systems, including patterns such as Retrieval-Augmented Generation (RAG), autonomous agents, LLM orchestration, and event-driven architectures for AI solutions.
• Lead the governance and adoption of AI tools (such as coding assistants and automation platforms) to accelerate productivity, improve code quality, and enhance the efficiency of development squads.
• Establish security, data privacy, compliance, and monitoring guidelines (LLMOps/MLOps) for AI-powered models and systems.
• Define and ensure the implementation of sound enterprise architecture practices, including Clean Architecture, SOLID principles, microservices, and high-availability system resilience.
• Oversee cloud infrastructure, ensuring efficient, secure, cloud-agnostic topologies integrated with large-scale data environments, including ingestion and analytical processing pipelines.
• Identify technical debt and develop modernization strategies for legacy platforms with a strong focus on information security.
• Lead, mentor, and support the career development of enterprise and solution architects through regular one-on-one coaching sessions and KPI-driven performance evaluations.
• Promote knowledge sharing and organizational adoption of AI Engineering practices and emerging technology trends.
• Translate complex AI architectures and initiatives into tangible business value propositions for directors, vice presidents, and business stakeholders.
• Assess the economic viability of AI models and cloud infrastructure investments, ensuring cost-effective and financially sustainable solutions.
• Complete all assigned, mandatory training within the timeframe provided.
• Conduct and/or participate in regularly scheduled 1:1 meetings with your direct manager and/or direct reports.

Skills

Lead senior teams

Software architecture

AI & ML systems

AI orchestration

MLOps/LLMOps

AI strategy

Microservices

Cloud platforms

Agile methods

Executive influence

Ownership mindset

LLM integration

Tools

LangChain

LlamaIndex

Semantic Kernel

Vector databases

Azure

AWS

GCP

Job description

Description

We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.

The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.

The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.

Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” “Best Company Culture,” year after year.

Join us and be part of this journey towards greater opportunities and brighter futures.

We are seeking a highly strategic technical leader for the role of Senior Manager, Software Architecture & AI Solutions. In this position, you will serve as the primary catalyst for the technological evolution of our platform, combining the foundations of enterprise distributed architecture with the forefront of Artificial Intelligence innovation.

You will be responsible for leading and developing a senior team of architects, defining scalable system standards while driving the architecture strategy for AI solutions and the adoption of Generative AI and AI Engineering practices throughout the software development lifecycle. We are looking for a leader who can seamlessly navigate between executive-level discussions and deep technical mentorship with engineering teams.

Qualifications

• Proven experience leading and managing senior technical teams, including Architects and Principal Engineers.

• Demonstrated experience as a Software Architect or Principal Engineer designing and building large-scale distributed systems.

• Strong expertise in architecting systems integrated with Large Language Models (LLMs) and traditional Machine Learning models.

• Hands-on experience implementing solutions using AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, and vector databases.

• Familiarity with MLOps/LLMOps practices, including model evaluation, versioning, drift monitoring, and inference API cost management.

• Strategic vision for leveraging AI to optimize the Software Development Lifecycle (SDLC).

• Deep understanding of microservices architecture, messaging systems, system resiliency, and API design.

• Extensive experience with enterprise cloud ecosystems such as Microsoft Azure, AWS, or Google Cloud Platform (GCP), as well as data architecture and Big Data environments.

• Experience working with Agile frameworks (Scrum/Kanban) and managing architecture backlogs.

• Excellent verbal and written communication skills, with the ability to influence and negotiate effectively with senior executive leadership.

• Strong sense of ownership, servant leadership mindset, and adaptability in rapidly evolving technology environments.

Responsibilities

• Design and govern standards for integrating Artificial Intelligence into enterprise systems, including patterns such as Retrieval-Augmented Generation (RAG), autonomous agents, LLM orchestration, and event-driven architectures for AI solutions.

• Lead the governance and adoption of AI tools (such as coding assistants and automation platforms) to accelerate productivity, improve code quality, and enhance the efficiency of development squads.

• Establish security, data privacy, compliance, and monitoring guidelines (LLMOps/MLOps) for AI-powered models and systems.

• Define and ensure the implementation of sound enterprise architecture practices, including Clean Architecture, SOLID principles, microservices, and high-availability system resilience.

• Oversee cloud infrastructure, ensuring efficient, secure, cloud-agnostic topologies integrated with large-scale data environments, including ingestion and analytical processing pipelines.

• Identify technical debt and develop modernization strategies for legacy platforms with a strong focus on information security.

• Lead, mentor, and support the career development of enterprise and solution architects through regular one-on-one coaching sessions and KPI-driven performance evaluations.

• Promote knowledge sharing and organizational adoption of AI Engineering practices and emerging technology trends.

• Translate complex AI architectures and initiatives into tangible business value propositions for directors, vice presidents, and business stakeholders.

• Assess the economic viability of AI models and cloud infrastructure investments, ensuring cost-effective and financially sustainable solutions.

• Complete all assigned, mandatory training within the timeframe provided.

• Conduct and/or participate in regularly scheduled 1:1 meetings with your direct manager and/or direct reports.

Location:

BRA Curitiba - JOSE LOUREIRO, 371

Language Requirements:

Brazilian Portuguese (Required), English (Required)

Time Type:

Full time