Hybrid AI Solution Engineer for AI strategy

Maplesoft implements TimeLive for Electronic time tracking.

Please view the demo below on how to enter and approve time.

Do you want to work in a dynamic environment where your contributions count?

At Maplesoft, we value the contributions of all our employees and contractors. We listen and act upon suggestions, advice, and innovative ideas to further our strategic vision. In turn, Maplesoft contributes to the communities where we live and operate. We think globally, but act in our own backyards.

Build your future with Maplesoft’s exciting technologies, deep partnerships, personal approach to consulting services, professional development opportunities and exciting company culture.

If you are interested in any of following job openings, please apply directly to info@maplesoftgroup.com , citing the position titleandjob id in the email subject line.

Title Hybrid AI Solution Engineer for AI strategy (Data submission wizard)

Overview

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

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 client'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 client's metadata repositories or data integration environments.

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

Must have experience with:

- Data mapping/processing;

- RAC workflows;

- Optimizing outputs;

- Large language/natural language processing;

- Transformation based AI models;

- Supervised/unsupervised data;

- Embedding for schematic matching.

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 info@maplesoftgroup.com.

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

Ready to Excel?

Think you're a great fit for our team? Explore our Job Opportunities page.

#J-18808-Ljbffr