Senior AI Engineer

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

The Senior AI Engineer is a practitioner role within Data Science, AI, & Agentic. This role is responsible for driving complex AI engineering workstreams while also supporting the growth, enablement, and effectiveness of AI engineering practitioners on the team. The Senior AI Engineer shapes implementation strategy, supports delivery planning and quality, and serves as a trusted partner to internal and client stakeholders on AI-enabled applications, orchestration patterns, workflow integration, and practical adoption.

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• • Drive complex AI engineering workstreams across multiple business areas, use cases, products, or stakeholder groups.

  • Define AI engineering approaches that align business goals, workflow opportunities, orchestration patterns, integration requirements, and measurable implementation outcomes.

  • Translate ambiguous stakeholder needs into structured implementation plans, workflow logic, prompt orchestration, retrieval patterns, tool-calling approaches, and solution recommendations.

  • Guide the implementation of AI-enabled applications, agents, assistant-style experiences, and workflow components that connect models to practical business processes.

  • Establish and reinforce best practices for prompt orchestration, tool use, context handling, retrieval flow, API integration, workflow composition, response processing, testing, and code quality.

  • Design and improve reusable implementation patterns for use cases such as summarization, extraction, question answering, search augmentation, conversational support, workflow automation, grounded insight delivery, and agent-assisted task execution.

  • Contribute to delivery planning, prioritization discussions, and quality standards across AI engineering engagements.

  • Mentor, coach, and support practitioners through feedback, guidance, and performance development.

  • Review deliverables for clarity, technical rigor, quality, consistency, safety, and business usefulness.

  • Help teams improve workflow reliability, integration quality, testing discipline, and implementation reuse across projects.

  • Collaborate with AI Scientists, Data Scientists, Data Engineers, Analytics Engineers, and Architects to align AI solutions with business needs, governed data access, platform realities, and technical constraints.

  • Contribute to hiring, onboarding, capability development, and team maturity within the AI engineering practice.

  • Follow established governance, privacy, safety, and responsible AI-use standards across the work of the team.

Must have qualifications

• Advanced English Level

• Expected to demonstrate AI-native engineering habits appropriate to an AI Engineer role, including active use of approved AI-enabled tools and workflows for AI application development, orchestration design, prompt and retrieval integration, tool-calling workflows, API integration, testing, documentation, and reusable implementation patterns. Uses AI-assisted workflows to accelerate development, improve implementation quality, draft test cases, document workflow behavior, troubleshoot integration issues, and refine reusable components while maintaining human accountability for correctness, safety, maintainability, governed data access, and production usefulness.

• Strong experience in AI application development using Python, SQL, PowerShell, and REST APIs, including workflow design and structured data (JSON) processing.

• Hands-on experience with Microsoft Azure, including Azure AI Services, Azure OpenAI-compatible services, Azure API Management (APIM), Cosmos DB, and Microsoft Fabric for enterprise AI and data solutions.

• Experience designing and implementing LLM-enabled and agentic applications, including RAG, prompt orchestration, tool calling, embeddings, context management, and workflow evaluation.

• Strong knowledge of AI solution integration, cloud-native architectures, and scalable AI application development within Microsoft ecosystems.
• Experience working with Databricks, Apache Spark, and PySpark to support AI, analytics, and data engineering workflows.
• Proficient with Git, GitHub, and Azure DevOps for version control, collaboration, and CI/CD practices.

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Full Time position based in Brazil

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts
• Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

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