AI Engineer Senior Manager

Job Description

• Architect and lead the development of AI-powered Intelligent Document Processing systems capable of ingesting complex, multi-modal documents (text, scanned PDFs, handwritten content, images, construction diagrams).

• Design and implement end-to-end pipelines that extract, structure, and store information in scalable databases for downstream analytics and LLM-based applications.

• Develop and deploy agentic workflows that orchestrate LLM reasoning, computer vision models, OCR systems, and external tools/APIs.

• Build production-grade solutions leveraging LLM frameworks (e.g., LangChain, LlamaIndex, LangGraph) and language-vision models.

• Oversee deployment in cloud-based environments (Databricks and Azure preferred), ensuring scalability, reliability, and cost efficiency.

• Lead the design of RAG pipelines and structured knowledge graph based systems to enable accurate retrieval and reasoning over insurance policies and claims documentation.

• Collaborate closely with client stakeholders to understand complex document ecosystems (e.g., insurance policies, claims files, construction reports) and translate them into scalable AI architectures.

• Implement evaluation frameworks and guardrails to ensure model accuracy, factual grounding, compliance, and responsible AI practices.

• Provide technical leadership and architectural guidance while remaining deeply hands-on in development and prototyping.

• Mentor and develop AI engineers and data scientists, fostering best practices in applied AI engineering.

Qualifications

• Strong experience designing and deploying Applied AI solutions in production environments.

• Deep expertise in LLM ecosystems, including prompt engineering, RAG architectures, and agent-based systems.

• Hands-on experience with Python and AI frameworks such as LangChain, LangGraph, LlamaIndex, or similar.

• Experience building multi-modal systems combining NLP, OCR, and computer vision for document understanding.

• Proven experience structuring unstructured and semi-structured data into scalable databases.

• Strong understanding of cloud-native architectures (Databricks, AWS, Azure, or GCP).

• Experience working with complex enterprise document workflows (insurance industry experience is highly preferred).

• Solid understanding of ML lifecycle management, CI/CD, containerization, and scalable API deployment.

• Strong leadership skills with the ability to guide architecture while staying technically hands-on.

• Excellent stakeholder communication skills, especially in complex, client-facing environments.

What about languages?

Advanced English required (strong technical and client-facing communication skills).

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.

🛫 Travel opportunities to attend industry conferences and meet clients.

👩‍🏫 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.