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Location
Hybrid (São Paulo, Brazil)
Seniority
Senior

Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 14, 2026. DiDi Chuxing scores B on the Alion truth index.

Overview
Company
Impact
Profile match
DiDi Chuxing is a Chinese mobility technology company headquartered in Beijing that runs app-based ride-hailing, taxi booking, chauffeur, bike-sharing and intra-city freight and delivery services. Founded in 2012 and formed through the 2015 merger of Didi Dache and Kuaidi Dache, it bought Uber's China business in 2016 and also works on autonomous driving and electric vehicle fleets. Outside China it operates in Latin America and Asia-Pacific, and its international board hires sales, operations, strategy and user growth staff mainly in Sao Paulo, Mexico City and Bogota.

Company Overview

DiDi Global Inc. is the world’s leading mobility technology platform. It offers a wide range of app-based services across markets including Asia-Pacific, Latin America and Africa, including ride hailing, taxi hailing, chauffeur, hitch and other forms of shared mobility as well as auto solutions, food delivery, intra-city freight, and financial services.

DiDi provides car owners, drivers, and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry and the communities to solve the world’s transportation, environmental and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value, by building a safe, inclusive and sustainable transportation and local services ecosystem for cities of the future.

For more information, please visit: www.didiglobal.com/news

#LI-Hybrid

Team Overview

We are hiring Senior Applied AI Analysts to embed in our business teams (Operations, Marketing, Sales, Strategy) and change the way people work using AI. You will report to the Senior Director of AI Transformation and act as a power user and internal partner: identifying high-impact opportunities, redesigning workflows, and building AI-powered solutions with modern tools, without needing to write production-grade software.

The role is hands-on and results-driven. Success is measured by time saved, quality improved, and AI adoption that sticks.

Role Responsibilities

  • Mapping how teams work today, finding where AI creates the most value, and redesigning those processes end to end.
  • Designing, configuring, and iterating on AI agents that automate real tasks and scale across teams.
  • Connecting AI tools to company systems through MCP servers, connectors, APIs, and no-code/low-code platforms.
  • Structuring and maintaining the knowledge bases that keep AI outputs accurate, current, and trusted.
  • Chaining models, tools, and human review steps into reliable, repeatable workflows.
  • Training and coaching teams so new ways of working become daily habits, and documenting playbooks and best practices.
  • Defining baselines and KPIs (hours saved, cycle time, quality, cost) and reporting results to stakeholders.
  • Following data privacy (LGPD), security, and responsible-AI practices in every solution, and tracking new models and tools worth bringing into the company.

You will be measured on: workflows redesigned and agents running in production, measurable efficiency gains, adoption and satisfaction among the teams you support, quality and reliability of AI outputs and knowledge bases, and reusable assets created for other teams (templates, playbooks, agents).

Role Qualifications

  • Proven daily, advanced use of AI tools (LLM assistants, agent builders, AI automation platforms).
  • Hands-on experience building agents or AI-driven workflows that produced measurable results.
  • Strong prompt design and context engineering skills, including evaluating and improving output quality.
  • Experience with MCPs, connectors, or integrations between AI tools and business systems.
  • Experience structuring knowledge bases or retrieval-based solutions.
  • Solid process analysis skills: mapping, simplifying, and redesigning workflows.
  • The ability to translate business problems into practical AI solutions and explain them clearly to non-technical people.
  • A track record of working with business teams and driving change, not only delivering tools.

Nice to have: a background in consulting, operations excellence, product, or business analysis; familiarity with AI evaluation, monitoring, and governance practices.

Not required: software engineering or production-grade development experience. Dedicated technical teams handle complex engineering, and you will partner with them when a solution needs to scale.

You work with a business-first mindset, learn fast, think analytically, influence without authority, take ownership, and prefer to ship, test, and improve.

EEO Statement

  • We create customer value - We strive to always create valuable experiences for our users in everything we do. Our focus is to always innovate new experiences that are safe, pleasant, and efficient.
  • We are data-driven - We are strong believers in making informed decisions, that’s why we are data-driven. We can better navigate the business landscape strategically by analyzing valuable metrics.
  • We believe in Win-win Collaboration - Success is a team sport. When we work to help our partners and colleagues win, we win, too. While keeping everyone's best interest at heart, we communicate with candor and execute with excellence in all we do.
  • We believe in integrity - Integrity is at the very core of our business. We are people who always want to do the right thing. Our intentions are sincere, we speak our minds and listen to each other.
  • We always strive to do better. That means venturing beyond our comfort zones, learning from our mistakes, and helping each other grow.
  • We believe in Diversity and Inclusion - Diversity is one of our biggest strengths. Our differences are what makes us distinct. We respect each other and believe in equal opportunities for all.

We are committed to building inclusive and diverse teams.

At DiDi, we believe that our differences are our biggest source of strength. That‘s why we are committed to promoting equal opportunities to all candidates and employees as an Equal Opportunity Employer.

Employment and advancement decisions at DiDi are always made based on the needs of the position and the qualifications of the candidate. We do not discriminate against any employee or applicant based on their gender, age, sexual orientation, nationality, marital status, pregnancy/maternity, disability, race, religion and beliefs, or any other status protected by applicable laws wherever we operate.

We are committed to building inclusive and diverse teams, and a workplace that is free from discrimination and harassment, because that’s how we create better products and services, make better decisions and better serve the communities we’re a part of.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for Candidates which is available on https://careers.didiglobal.com/terms

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