Before applying, make you you completely understand the following:

1. Work must be done onsite in the Blair/Ogilvie area of Ottawa, with the expectation that most/all of the work will be done on site, not remote

2. There is an intensive 12 month security clearance process including polygraph that you must agree to and pass before you can start any billable work.

3. You must meet ALL of the Mandatory requirements, and all or almost all of the rated requirements, and with detailed support information.

Mandatory Technical Criteria (MT)

MT1:
Education and Subject Matter Experience

Must demonstrate compliance with one (1) of the following education and subject matter experience criteria:

OPTION 1:

University degree at the Bachelor level in Computer Science or Engineering/ Applied Science in one of the following disciplines: Systems Engineering, Software Engineering or Electrical Engineering;

AND

A minimum of one hundred and twenty (120) months of experience within the last two-hundred and forty

(240) months performing one or any combination of the following roles: Software Architect, Software Designer, or Software Developer.

OPTION 2:

University degree at the Bachelor level in Science Mathematics or Applied Science/ Engineering in a discipline other than listed in paragraph 1;

AND

A minimum of one-hundred and forty-four (144) months of experience within the last two-hundred and forty (240) months performing one or any combination of the following roles: Software Architect, Software Designer, or Software Developer

OPTION 3:

Community College Diploma in Information Technology, Computer Science, or Engineering technology;

AND





A minimum of one-hundred and eight (180) months of experience within the last two-hundred and forty

(240) months performing one or any combination of the following roles: Software Architect, Software Designer, or Software Developer.

MT2

Experience in AI-driven solutions

A minimum of twenty-four (24) months of cumulative experience acquired, within the last sixty (60) months, in the design, development, implementation, or deployment of AI-driven solutions in a production or enterprise environment:

Within the experience claimed above, the proposed resource must demonstrate experience in each of the following areas:

1. Integrating and utilizing Large Language Models (LLMs);

2. integrating and validating Retrieval-Augmented Generation (RAG) solutions;

3. fine-tuning, adapting, and evaluating pre-trained Large Language Models (LLMs) for domain- specific or task-specific applications -- may include supervised fine-tuning, parameter-effective fine-tuning, model optimization, performance evaluation, and validation activities;

engineering (designing, testing, evaluating, and optimizing) prompts for Large Language Models (LLMs) to improve the accuracy, relevance, consistency, and performance of AI-driven solutions;

POINT RATED TECHNICAL CRITERIA (RT)

RT1

Experience in LLM Fundamentals





A minimum of twelve (12) months of demonstrated experience within the last sixty (60) months integrating and using LLMs into AI-driven solutions.

Additional points will be awarded for demonstrated experience with OpenAI technologies, including but not limited to GPT models, OpenAI APIs, and Azure OpenAI Service.

RT2

Experience in Retrieval-Augmented Generation (RAG) validation

A minimum of twelve (12) months of demonstrated experience within the last thirty-six (36) months, evaluating and validating Retrieval-Augmented Generation (RAG) solutions used with Large Language Models (LLMs).

The experience must include the use of evaluation methods to assess retrieval accuracy and the identification and mitigation of issues such as hallucinations, inaccurate responses, and irrelevant retrieval results.

RT3

Experience in Prompt Engineering

At bid closing, the Bidder’s proposed resource should have a minimum of twelve (12) months of demonstrated experience within the last sixty (60) months, designing, testing, and optimizing prompts to guide the behavior of LLMs.

RT4

Experience in Agentic Workflow

At bid closing, the Bidder’s proposed resource should have a minimum of twelve (12) months of demonstrated experience within the last sixty (60) months, in architecting, developing and monitoring a scalable, distributed LLM-Based Agents platform.

Additional points may be awarded for demonstrated experience creating, implementing, or using Model Context Protocol (MCP) servers.

Pay: $250,000.00-$308,000.00 per year

Work Location: In person

📌 AI Application/Software Architect (Ottawa)
🏢 Dolomite Networks
📍 Ottawa