Job description
We are seeking an experienced Principal AI Engineer to define and drive the technical vision for agentic AI across multiple applications. This role is critical in establishing organization-wide standards and delivering scalable, production-ready AI solutions.
You will work closely with cross-functional teams and senior leadership to design, implement, and optimize AI systems that deliver measurable business impact.
This role is 100% remote in Canada.
Key Responsibilities
- Define the technical vision and reference architecture for agentic AI, including reasoning loops, tool use/function calling, memory, safety, and interoperability
- Build and govern reusable platform components such as model brokers, multi-model routing, orchestration services, evaluation frameworks, prompt/versioning systems, and telemetry
- Develop and refine advanced prompting strategies for LLMs
- Test, evaluate, and analyze the performance of LLM and GenAI models
- Drive cross-functional roadmaps, API standards, and integration best practices
- Establish offline and online evaluation methodologies for agent performance and safety, aligned with business outcomes
- Act as a Subject Matter Expert (SME) for AI across internal teams, leadership, and stakeholders
- Identify, prioritize, and execute AI use cases with clear business value
- Mentor engineers, lead knowledge-sharing sessions, perform peer reviews, and improve overall technical quality
- Collaborate with vendors and ensure alignment with best practices and delivery milestones
Required Qualifications
- Proven experience delivering agentic AI solutions at scale across multiple products
- Strong expertise in the Microsoft AI ecosystem (Foundry, Copilot Studio, AI Search, OpenAI, RAG)
- Strong experience with Anthropic platforms (Claude Cowork and Claude Code)
- Advanced proficiency in Python and Java within production environments (testing, packaging, performance optimization)
- Hands-on experience with agent frameworks such as LangChain, Anthropic frameworks, and Foundry
- Strong expertise in RAG and agent data pipelines, including document preprocessing (OCR/NER), chunking strategies, embeddings, vector stores, and data quality/versioning
- Experience with model serving, multi-model routing, and cost/performance optimization
- Solid understanding of AI adoption and scaling within SaaS environments
Nice to Have
- Familiarity with Salesforce Agentforce and Boomi Agentic AI platform
Expected Compensation Range:
110K-150K The final compensation offered will be determined based on the candidate’s level of experience, skills, and qualifications, in compliance with applicable pay transparency requirements.
Canadian Experience Requirement:
No Canadian work experience is required for this position. Candidates are encouraged to apply regardless of previous Canadian experience.
Artificial Intelligence (AI) Disclosure:
No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.
Statement Regarding Job Vacancy:
This position is a Job creation, created to support ongoing project needs.
Recruitment Process & Feedback Timeline:
Candidates will receive feedback on their application within a maximum of 45 days from the date of application or from their most recent interview stage.
Why choose us
- An international community bringing together more than 110 different nationalities
- An environment where trust is central: 70% of our leaders started their careers at the entry level
- A strong training system with our internal Academy and more than 250 modules available
- A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)
Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
Who are we?
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!