Brazil
Orange Business
Keyrus Brazil
Forward Deployed AI Engineer – Architect of Intelligence
Brazil
São Paulo, São Paulo, Brazil
PythonReactNode.jsAWSGCPDocker
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Why Keyrus, Why Now!
Keyrus is an international group with 2,800 consultants and experts in 28 countries, built on a conviction: AI alone does not transform businesses. Intelligence Architecture does.
For over 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to generate sustainable value: we operationalize intelligence.
OUR VALUES
Collective Intelligence
Collaboration across different specialties, roles, and geographies allows us to combine knowledge and deliver more complete answers to our clients' challenges.
Reliability
The ability to deliver complex projects with rigor, quality, and consistency is a cornerstone of our relationship with clients and partners.
Pragmatism
We prioritize concrete impact and measurable value over abstract technological discourse.
Entrepreneurial Spirit
Curiosity, energy, autonomy, and initiative are the foundation of our culture and drive continuous innovation.
ABOUT KEYRUS
At Keyrus, we help organizations evolve from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insights to execution.
As Intelligence Architects, we design the Operating System of the intelligent enterprise, embedding intelligence into business processes so it generates sustainable and measurable value. We operationalize intelligence.
Driven by our proprietary Human Orchestrated Model™ (HOM), we reliably architect:
- The Foundation of Intelligence
- Human in the Loop -
- Performance Management
With over 30 years of experience and 2,800 employees in 28 countries, we build adaptive and resilient intelligent environments where technology amplifies human capability and performance accumulates over time.
AI alone does not transform businesses. Intelligence Architecture does.
Keyrus is listed on Euronext Growth Paris. (ALKEY - ISIN Code: FR0004029411 - Reuters: KEYR.PA - Bloomberg: ALKEY: FP).
For more information: keyrus.com.br
WHAT YOU WILL ARCHITECT
At Keyrus, you won't just develop technical skills. You will strengthen the competencies needed to understand complex environments, make sound decisions, and design systems that create sustainable value. Over time, you will develop as a professional who connects data, AI, and human decision-making at scale — a Keyrus Intelligence Architect.
Technology amplifies. Keyrus culture differentiates. Scaling usage connects the two.
As a Forward Deployed AI Engineer, you operate at the heart of clients' most pressing AI challenges, transforming intent into operational, measurable results in weeks, not months. This is an experienced individual contributor role for someone who combines hands-on engineering, architectural judgment, and business acumen.
You take on the challenge from conception to execution — understanding the real context, building and deploying the solution, and proving it generates value. Once the environment is understood, you become the go-to person the team trusts to make that outcome last.
Your responsibilities
- Co-create solutions with business and technology stakeholders through workshops, rapid iterations, and hands-on delivery.
- Locate, qualify, and ensure access to the data needed for each use case, working directly with the Data Engineer.
- Translate use cases into production-ready GenAI and AI agentic solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows.
- Prototype, test, deploy, monitor, and improve solutions in clients' real environments, using feedback from users and domain experts.
- Work with Data Engineers, Software Engineers, Foundations Architects, Governance specialists, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes.
- Balance speed, quality, cost, security, and maintainability, making clear technical and delivery trade-off decisions.
- Define success criteria from the outset, including adoption, performance, reliability, risk, cost, and measurable business value.
- Ensure solutions are documented, governed, and transferable, so clients can operate them with confidence.
- Transform successful deliveries into reusable patterns, accelerators, and building blocks that strengthen future engagements.
WHO YOU ARE
You are a hands-on engineer who thinks like an architect and acts like a builder. You are comfortable working close to the client, the problem, and the delivery, and you make sound decisions in complex and evolving environments.
You enjoy solving operational challenges, not just exploring technical concepts.
You communicate clearly with both technical teams and senior business stakeholders.
You navigate ambiguity with confidence, validate hypotheses, and adapt quickly.
You take ownership of outcomes and flag risks or changes in priority early.
You understand that AI value depends on the complete system: data, workflows, governance, adoption, and measurement.
You naturally look for what can be reused, improved, and scaled.
WHAT YOU BRING
Experience
- Typically, 5 to 10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.
- Hands-on experience delivering AI, GenAI, or software solutions into production.
- Experience working directly with clients or in complex stakeholder environments.
- Evidence of having translated complex use cases into adopted and measurable solutions.
- Degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field — or equivalent practical experience.
Technical skills
- Strong development capability in Python, experience with integrating APIs and modern software engineering practices.
- Hands-on experience with Large Language Models, GenAI architectures, prompt workflows, and model/provider selection.
- Experience with RAG, embeddings, vector search, AI agents, and agentic workflows.
- Familiarity with frameworks like LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools.
- Experience integrating AI into enterprise systems, APIs, and business workflows.
- Experience with at least one major cloud platform: Azure, AWS, or GCP.
- Practical knowledge of Docker, Git, CI/CD, production deployment, monitoring, and evaluation.
- Understanding of MLOps / LLMOps, security, data privacy, governance, and responsible AI principles.
Nice-to-haves
- Experience with multimodal models, fine-tuning, model adaptation, or open-source LLMs.
- Experience in front-end or full-stack development, e.g., Node.js or React.
- Experience in consulting or professional services.
- Exposure to regulated industries or corporate governance requirements.
WHAT WILL MAKE YOU SUCCEED
You combine technical credibility, pragmatism, and end-to-end ownership.
You focus on real outcomes, adoption, and measurable value — not just the solution itself.
You move fast, balancing speed, quality, cost, and risk.
You build trust and become a reliable partner in complex client environments.
You operate effectively under pressure in client-facing settings where progress and results are continuously visible.
You continuously improve, reuse, and scale what works across engagements.
You know when to go deep technically and when to orchestrate the right expertise.
We wish you good luck! 😊🚀
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