Artificial Intelligence Engineer

Maplesoft Group is currently seeking a Hybrid AI Solution Engineer for AI strategy (Data submission wizard) for our client in Ottawa, ON.

Tasks and Responsibilities include, but are not limited to the following:

Summary:

Our client is seeking a skilled AI solution engineer to implement a proof-of-concept (PoC) solution that leverages AI enabled technologies to automate/semi-automate interpretation and mapping data from disparate data sources into a standardized data model.

The POC will focus on exploring the use of prompt-based AI systems for automating data mapping specification creation. This project will leverage large language models (LLMs) and data engineering principles to translate known source and target schemas, along with data coding standards, into structured mapping documentation in which can be used for ETL implementation.

Services:

The AI solution engineer will be expected to provide the following services:

Solution Design and Prototyping

• Develop a prompt-driven AI system capable of generating draft data mapping specifications between known source and target data schemas.

• Collaborate with client's architecture team to architect the proof-of-concept pipeline integrating:

• Schema ingestion and parsing (e.g., from JSON, XML, DDL).

• LLM-based reasoning and prompt workflows for mapping suggestions, using CIHI's data standards and coding frameworks as reference.

AI and Data Engineering

• Fine-tune and evaluate LLM prompts or small-scale models (e.g., OpenAI, Azure OpenAI, or Hugging Face models) for semantic schema alignment.

• Implement a sample data pipeline for schema comparison, validation, and mapping metadata extraction.

• Integrate structured data transformations (e.g., SQL, Python-based ETL) with AI-assisted output.

• Develop reusable components that can be extended to other mapping or metadata automation tasks.

Evaluation and Documentation

• Collaborate with the architecture team to define success metrics for the proof-of-concept (accuracy, consistency, and interpretability of AI-generated mappings).

• Document architecture, data flow, prompt design, and model behavior to support evaluation and knowledge transfer.

Collaboration and Knowledge Sharing

• Work with client data standards, ETL, and analytics teams to understand domain-specific coding (e.g., ICD, CCI, or other healthcare data standards).

• Provide technical insight into integrating AI tools with CIHI's metadata repositories or data integration environments.

• Present findings, prototypes, and recommendations to technical and non-technical stakeholders.

Maplesoft Group prides itself on its distinct corporate culture and recognizes that success is a direct reflection of our most valuable asset - our people. Therefore, attitude and ambition are key personality traits we seek out, along with skill and aptitude, in potential employees.

Maplesoft Group is committed to having a diverse, representative workforce and continuing to build an inclusive environment. We encourage applications from all qualified individuals. Maplesoft Group is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants irrespective of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans' status, Aboriginal peoples or any other legally protected factors.

All employment decisions are made based on business needs, job requirements, and individual qualifications.

We are committed to developing inclusive, barrier-free recruitment and selection processes, and a work environment that supports our diverse workforce. Please let us know if you require accommodations at any stage of the recruitment process. We can be reached at Maplesoft Info at

We thank you for your interest in Maplesoft Group and wish to advise you, that only candidates under consideration will be contacted.