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.
Remote Work :
Yes
Employment Type :
Full-time
Blend360 is an award-winning provider of data, analytics, and talent solutions for Fortune 500 companies. The company has made the Inc. 5000 list of Fastest Growing Companies every year they have been in business and has been awarded a world-class ranking in client satisfaction for th ... View more