Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.
With the right people and the right ideas, there’s no limit to what we can achieve
Are you a fit?Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:
Key Responsibilities
- Deep knowledge of AI and ML frameworks, with a focus on NLP, predictive modeling, data analysis, and generative AI.
- Design, build, and deploy advanced Machine Learning and Generative AI solutions on AWS Bedrock, with emphasis on Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and large-scale search.
- Integrate and optimize foundation models on AWS Bedrock for enterprise use cases, ensuring scalability, security, and compliance in dedicated AWS environments.
- Collaborate with data scientists, data engineers, and product teams to transform complex problems into cloud-native, production-ready AI solutions on AWS.
- Run experiments, explore novel algorithms, and leverage AWS Generative AI and Bedrock capabilities to maximize performance, user experience, and business outcomes.
- Ensure the adoption of ethical and responsible AI practices across all solutions.
Must-have Skills
- 5+ years of hands-on experience in AI/ML development and deployment.
- Strong expertise in Generative AI, LLMs, AI Agents, and RAG architectures.
- Proven experience designing and deploying solutions on AWS Bedrock.
- Strong programming skills in Python
- Experience in cloud-native architectures and enterprise-scale solutions.
- Familiarity with data pipelines, vector databases, and large-scale search systems.
- Demonstrated ability to collaborate with cross-functional teams (scientists, engineers, product managers).
- Commitment to responsible and ethical AI practices.
Nice-to-Have Skills
- AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
- Experience with LangChain, llama-index, or similar orchestration frameworks for RAG/LLM pipelines.
- Knowledge of multi-cloud or hybrid cloud environments.
- Exposure to MLOps best practices (CI/CD for ML, monitoring, observability).
- Familiarity with security and compliance frameworks in regulated industries
- Advanced degree (MSc/PhD) in Computer Science, Machine Learning, or related field.
- A High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- Vibrant Community
- Total Rewards
*Specific benefits are determined by the employment type and location.
Find out more about our culture here.
Skills Required
- 5+ years of hands-on experience in AI/ML development and deployment
- Strong expertise in Generative AI, LLMs, AI Agents, and RAG architectures
- Proven experience designing and deploying solutions on AWS Bedrock
- Strong programming skills in Python
- Experience in cloud-native architectures and enterprise-scale solutions
- Familiarity with data pipelines, vector databases, and large-scale search systems
- Demonstrated ability to collaborate with cross-functional teams (data scientists, engineers, product managers)
- Commitment to responsible and ethical AI practices
- Leverage AI tooling to optimize workflows (drafting, analysis, automation)
- Experience with LangChain, llama-index, or similar orchestration frameworks for RAG/LLM pipelines
- Knowledge of multi-cloud or hybrid cloud environments
- Exposure to MLOps best practices (CI/CD for ML, monitoring, observability)
- Familiarity with security and compliance frameworks in regulated industries
- Advanced degree (MSc/PhD) in Computer Science, Machine Learning, or related field
Wizeline Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wizeline and has not been reviewed or approved by Wizeline.
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Healthcare Strength — Core coverage spans medical, dental, vision, life and disability insurance, with private medical commonly included in Mexico. Additional support such as EAP and wellness programs is also referenced.
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Leave & Time Off Breadth — Paid vacation, holidays, sick leave, volunteer time, and parental leave are called out, alongside flexible or remote work options. Unlimited PTO is mentioned in some contexts.
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Retirement Support — Savings and retirement elements appear across regions, including a 401(k) in the U.S. and a savings fund and profit sharing in Mexico. These components provide structured long-term financial benefits.
Wizeline Insights
What We Do
Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.
