Brazil
Power Digital
ArcelorMittal
Senior AI Architect
Brazil
Belo Horizonte, Minas Gerais, Brazil
PythonKubernetes
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How does our selection process work?
Hello! We are happy about your interest in one of our opportunities.
Below, you will find more details about ArcelorMittal, the opportunity, what we offer, and what we look for in people who want to build this journey with us.
Our selection process is conducted in a structured, transparent, and respectful manner, considering both technical aspects and cultural fit.
Throughout the journey, we seek to understand not only your experiences but also how you connect with environments that value:
- Safety
- Collective care
- Responsibility in decisions
This is the initial stage of the process. As you advance, other stages include interviews with the People team and leadership, as well as complementary assessments throughout the process and, at the end, the hiring stage.
We are very happy with your interest in joining our #TIMAÇO and hope to receive your application. To learn more about us, visit our social media.
See you soon!
#SejaArcelorMittal
At ArcelorMittal, we believe that a career choice goes beyond the position; it's about being part of an environment that values people, promotes continuous development, and, above all, places Safety as a non-negotiable value in all decisions.
Who we are?
We are ArcelorMittal, the largest steel producer in Brazil and a global company that operates with the purpose of producing intelligent steels for people and the planet.
We are an organization that continuously evolves, driven by people, innovation, and the constant pursuit of more efficient and sustainable solutions. ArcelorMittal is one of the world's leading integrated steel and mining companies, with operations in 60 countries and primary steel production in 15. With over 125.000 employees worldwide, we serve customers in various sectors, such as automotive, construction, energy, and engineering. Our products are part of everyday life, making a positive impact on individuals, communities, and society.
In our culture, people are at the center of everything we do, which is why Safety, our fundamental value, guides our actions, decisions, and the way we work every day.
Being part of ArcelorMittal means joining an environment in constant transformation, where:
- Safety and care for people always come first
- Innovation and technology are applied to generate value with responsibility
- Learning is continuous, with real challenges and growth opportunities
- Diversity of perspectives strengthens our decisions and results
We seek people who want to evolve with the company, contributing responsibly, collaboratively, and committed to sustainable results.
You Will Be Responsible For
- Designing and maintaining the reference architecture for the Generative AI and Agents platform, covering serving, RAG, observability, and security.
- Designing multi-agent architectures, workflows, and orchestration mechanisms.
- Defining corporate standards for integration between agents, models (LLMs), APIs, legacy systems, and the semantic layer (Unity Catalog / semantic contracts), including MCP and A2A.
- Establishing the cost, performance, and quality governance framework (LLMOps/AgentOps) for models and agents in production.
- Evaluating and recommending LLM technologies, frameworks, and providers (build vs. buy), conducting proof-of-concepts and technical risk analyses.
- Leading AI security and compliance architecture decisions (access control, auditing, LGPD, privacy-by-design, and guardrails).
- Reviewing and approving ADRs from AI Engineering squads, ensuring adherence to corporate standards.
- Defining the multi-tenant scalability strategy for the agent platform, including isolation, quotas, and prioritization.
- Conducting risk assessments and contingency plans for model failures, external dependencies, and service degradation.
- Acting as a technical reference and mentor for AI Engineers and Agent Builders, conducting technical reviews and producing reusable standards and reference guides.
- Representing the AI architecture in Corporate Architecture forums and committees, translating technical decisions for executive leadership.
- Collaborating with Governance and Information Security in defining responsible AI usage policies.
- Ensuring that activities in your area align with Health and Safety requirements;
- Knowing and Complying with the golden rules and FPS requirements.
Projects you will work on
- Strategic HR and Controlling Projects: participation in relevant business initiatives, focusing on transforming data into insights and supporting strategic decisions.
- Building the Data & Analytics area: an opportunity to contribute to defining standards, processes, and best practices, helping to structure and strengthen the area.
- Generating business impact: working closely with partner areas, connecting business needs with analytical solutions that generate value.
- Development opportunity: experience that combines business vision, analytical capacity, and participation in building solutions and processes.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, AI, or related fields.
- Solid experience in software/solutions architecture, with proven experience in delivering products with LLMs and agents in production.
- Architecture of solutions with Generative AI and LLMs at scale (multi-model and multi-tenant).
- Agent and multi-agent architectures: planning, tool use / function calling, memory, and orchestration.
- Advanced enterprise-level RAG: ingestion, chunking, re-ranking, hybrid search, vector stores, and index access policies.
- Agent frameworks (LangGraph, LangChain, LlamaIndex, Databricks Agent Framework, or equivalents).
- Protocols and integration: APIs REST, MCP, A2A, and integration with corporate systems.
- Databricks (Unity Catalog, MLflow 3.x, Model Serving, and Lakehouse) at the architecture level.
- Cloud and platform: Azure (Azure OpenAI / AI Foundry), AKS/Kubernetes, CI/CD, containers, and IaC.
- Advanced Python.
- Evaluation of LLM technologies and providers (build vs. buy), conducting proof-of-concepts, and technical risk analysis.
- Resilience and high availability architecture (fallbacks, contingency, isolation, quotas, and prioritization in multi-tenant environments).
- LLMOps/AgentOps and observability (OpenTelemetry, Langfuse, or similar), model evaluation, and controlled experimentation.
- AI security, privacy, and governance (RBAC, secrets, auditing, LGPD, guardrails, and red teaming).
- Cost and latency optimization (AI FinOps, caching, fallbacks, streaming, and model routing).
It will be a differential if you present:
- Model fine-tuning (PEFT/LoRA).
- Model Risk Management (model cards, change management, bias and harm assessment).
- Participation in defining corporate AI platforms.
- Experience with other AI clouds (Amazon Bedrock, Vertex AI).
- Experience in an industrial context.
- Participation in Corporate Architecture forums or technology committees.
- Cloud or Architecture certifications.
Benefits
At ArcelorMittal, we take care of people holistically, promoting health, well-being, safety, and quality of life for you and your family.
To take care of your physical and mental health:
- Platform to contribute to your health and well-being care;
- Medical and Dental Health Plan (extendable to legal dependents)
- Mental health and psychology support line
- Our commitment to Health and Safety is reflected in continuous initiatives that prioritize people's physical, mental, and emotional well-being.
Special For You and Your Family
- Childcare Assistance
- Food Allowance
- Vacation Return Bonus
For Your Future
- Private Pension Plan
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