[Job - 29203 ] AI Engineering Lead / AI Solutions Architect

CI&TCI&T·Remote(Brazil, Colombia)
Software Development
Excel

WFA Digital Insight

As the demand for AI-driven solutions continues to skyrocket, companies like CI&T are looking for experts to lead the charge. With the global AI market projected to reach

90 billion by 2025, the need for skilled AI Engineering Leads has never been more pressing. CI&T stands out for its 30 years of experience in technological transformation, making it an attractive destination for professionals seeking to make a real impact. Before applying, candidates should be aware that this role requires a unique blend of technical expertise, leadership skills, and business acumen.

Job Description

About the Role

The AI Engineering Lead at CI&T will play a pivotal role in driving the company's AI strategy forward. This involves working closely with clients to identify areas where AI can create measurable value, designing scalable AI architectures, and guiding implementation teams from concept to production. The successful candidate will be part of a global team of 8,000 CI&Ters, collaborating to build solutions with real impact.

Day-to-day, the role entails balancing technical leadership with hands-on implementation experience. The AI Engineering Lead will be responsible for evaluating business problems and determining when AI is the appropriate solution, as well as communicating these insights effectively to both technical and non-technical stakeholders.

What You Will Do

  • Identify opportunities to apply AI across software development, business operations, and enterprise workflows
  • Evaluate business problems to determine the suitability of AI solutions
  • Design scalable AI architectures aligned with business goals, security requirements, and operational constraints
  • Guide clients through AI adoption and implementation strategies
  • Design and implement solutions using Generative AI, LLMs, RAG, agentic workflows, and AI orchestration frameworks
  • Define architecture patterns for AI-enabled applications and enterprise platforms
  • Establish best practices for prompt engineering, retrieval strategies, evaluation, and AI governance
  • Drive adoption of AI capabilities across the software development lifecycle
  • Collaborate with engineering teams to integrate AI into development processes and delivery pipelines
  • Lead technical discussions with clients and internal stakeholders
  • Mentor engineering teams on AI implementation patterns and best practices

What We Are Looking For

  • Strong software engineering background with hands-on experience in Python and modern backend development
  • Experience designing and deploying AI solutions in production environments
  • Practical experience with Generative AI, LLMs, RAG architectures, AI agents, and orchestration frameworks
  • Understanding of AI evaluation, observability, monitoring, and operational best practices
  • Experience balancing AI quality, latency, scalability, reliability, and cost considerations
  • Strong architecture and system design skills
  • Excellent communication skills and ability to engage with technical and non-technical stakeholders
  • Advanced English proficiency
  • Experience working with Excel for data analysis and reporting

Nice to Have

  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Experience with MLOps, CI/CD, and AI deployment pipelines
  • Knowledge of vector databases, knowledge retrieval systems, and GraphRAG architectures
  • Experience leading technical teams or acting as a technical lead or architect
  • Experience supporting pre-sales activities, solution discovery, or client workshops

Benefits and Perks

  • Competitive salary package
  • Opportunity to work with a global team of 8,000 professionals
  • Collaborative and dynamic work environment
  • Professional development opportunities
  • Flexible working hours
  • Remote work stipend
  • Access to cutting-edge technologies and tools
  • Comprehensive health insurance
  • Generous PTO policy

How to Stand Out

  • Ensure your portfolio includes examples of AI solutions you've designed and implemented, highlighting your technical and leadership skills.
  • Develop a strong understanding of the latest AI trends and technologies, including Generative AI and LLMs.
  • Practice communicating complex technical concepts to non-technical stakeholders to improve your communication skills.
  • Be prepared to discuss your experience with AI evaluation, observability, and operational best practices during the interview.
  • Consider earning certifications in AI, data science, or related fields to stand out in a competitive job market.
  • Prepare to discuss how you've driven AI adoption across the software development lifecycle in previous roles.
  • Research CI&T's approach to technological transformation and be ready to discuss how your skills and experience align with the company's goals.

This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.