AI Data Engineering Manager
AI Data Engineering Manager
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Job Description
Were seeking an AI Engineering Manager with deep technical expertise in applied machine learning LLMs and agentic system design combined with a strong track record of engineering this role you will be responsible for both driving the architecture and delivery of cutting-edge AI systemsincluding RAG pipelines and autonomous agentsand leading a team of engineers fostering growth collaboration and technical excellence.
You will collaborate closely with Data Science Product and Engineering teams to translate ambitious AI concepts into robust scalable cloud-native solutions. As a manager youll own delivery outcomes mentor your team and help shape the direction of our applied AI capabilities.
Key Responsibilities & Skills
AI System Architecture & Delivery
Lead the design and implementation of end-to-end AI systems including GenAI solutions RAG pipelines and agentic workflows.
Architect reasoning frameworks and LLM-based automation including prompt engineering and multi-agent orchestration.
Integrate AI frameworks such as LangChain LlamaIndex CrewAI and LangGraph.
Ensure high-quality maintainable and scalable codebases using Python and containerized environments.
Build and maintain robust evaluation pipelines to measure grounding factuality performance cost and latency.
Define and enforce AI governance strategies: guardrails output validation and responsible agent behavior.
Engineering Excellence & MLOps
Apply MLOps and software engineering best practices across the full lifecycle from experimentation to production.
Ensure robust CI/CD pipelines testing and observability across cloud platforms (AWS Azure GCP).
Oversee the development of APIs and pipelines for batch and real-time inference in production environments.
Maintain high standards of code quality architecture and documentation across the team.
People Management & Technical Leadership
Manage and grow a team of engineers supporting career development performance reviews and goal setting.
Provide regular coaching and mentorship to both junior and senior engineers.
Facilitate effective feedback handle difficult conversations constructively and foster a culture of psychological safety.
Lead project planning scope definition and resource allocation across multiple AI initiatives.
Coordinate delivery timelines dependencies and milestones in alignment with product and business goals.
Own client relationships for small to mid-sized accounts and ensure successful referenceable project outcomes.
Cross-Functional Collaboration & Communication
Work closely with product managers data scientists and stakeholders to align technical execution with strategic objectives.
Communicate complex technical topics to non-technical stakeholders clearly and confidently.
Contribute to organizational AI strategy hiring decisions and roadmap planning.
Excellent English communication skills (written and verbal) are essential for working with global teams and clients.
Qualifications :
Must-Have
7 years of experience in AI/ML engineering including at least 2 years in a team or people management role.
Proven track record of building and deploying LLM-powered or GenAI systems in production.
Strong proficiency in Python and familiarity with orchestration libraries like LangChain CrewAI and LangGraph.
Deep understanding of agentic architectures RAG systems and prompt engineering.
Experience managing engineering teams and delivering multiple concurrent projects on time.
Hands-on experience with CI/CD MLOps practices and cloud platforms (AWS Azure or GCP).
Nice-to-Have
Experience with Snowflake Snowpark Container Services and Snowflake Cortex.
Background in LLM evaluation frameworks and safety practices.
Prior ownership of client relationships or consulting engagements.
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
Certifications in AWS (we are AWS Partners) Databricks and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans courses and additional certifications tailored to your role.
Access to Udemy Business offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
Mentoring and Development:
Career development plans and mentorship programs to help shape your path.
Celebrations & Support:
Special day rewards to celebrate birthdays work anniversaries and other personal milestones.
Company-provided equipment.
Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
