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HomeCompanies3pillarglobalArchitect / Principal, AI ML Engineer

Architect / Principal, AI ML Engineer

3pillarglobal · Canada · Remote · Active · Lever

Job facts

FieldValue
Company3pillarglobal
TitleArchitect / Principal, AI ML Engineer
Normalized title-
Department / teamProduct Development / Product Development
LocationCanada
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerLever
Posted / first seen2026-05-25 / 2026-05-29
Changed / last seen2026-06-16 / 2026-06-19

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PageWhat it containsOpen
Company jobsActive postings from 3pillarglobal.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Product Development.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

Company3pillarglobal
Sourcec000820e-73d1-426f-a070-1797ee787bbf
ATS providerLever

Description

3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI. Architect / Principal, AI ML Accomplished Tech Visionary: Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. As an AI/ML Architect, you will set the technical direction and blueprint for scalable AI solutions across multiple domains. You will evaluate emerging technologies, define architectural patterns, and align AI initiatives with business goals and ethical standards. Responsibilities Define end-to-end architecture for AI/ML and Gen AI, Agentic AI, MCP systems including data pipelines, model training/inference, and MLOps. Serve as a strategic advisor / consultant to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value. Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI). Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (OpenAI, Gemini and others) or open source models like LLama. Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar). Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining. Evaluate build-vs-buy decisions and benchmark AI tools/platforms. Evaluate emerging technologies and trends in AI, ML, Gen AI, Agentic AI space and recommend adoption strategies. Mentor technical teams and guide solution architects, AI/ML engineers. Ensure ethical and responsible AI practices including bias detection, interpretability, and governance. Act as a subject matter expert, providing guidance and mentorship to junior colleagues and strengthen the expertise in the organization. Collaborate with leadership to align machine learning strategies with overall business objectives. Represent the organization at industry conferences, workshops, and events. Drive cross-functional collaboration to identify opportunities for applying machine learning to business challenges. Minimum Qualifications Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 15+ years of industry experience with strong IT services background in machine learning, data science, AI, with a track record of delivering impactful projects; a Ph.D. is highly desirable. Strong grasp of AI architecture patterns (RAG, Agent AI, MCP based systems, prompt orchestration). Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow). Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning. Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines). Familiarity with APIs, microservices, and containerization (Docker, Kubernetes). Experience in Data Governance, Model Risk Management, and compliance. Extensive knowledge of machine learning theory, algorithms, and methodologies. Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization. Demonstrated ability to think strategically and drive innovation. Additional Experience Desired Good undertaking of Software Product Development and how to integrate AI ML components into a software product. Experience in working with huge datasets in a production environment. Published research in top-tier conferences or journals is a plus. What is it like working for 3Pillar Global? At 3Pillar, we create an environment where people can do their best work while maintaining a healthy work-life balance. Flexibility & Well-being – Our remote-first approach gives you the flexibility to work where you perform best, while prioritizing your well-being and personal commitments. Global Community – Collaborate with talented colleagues across the globe in a culture built on connection, support, and shared success. Your Voice Matters – We foster open communication and multiple feedback channels, ensuring every employee has the opportunity to be heard and make an impact. Growth & Development – Gain exposure to diverse clients, industries, and challenges that accelerate learning and career growth. Our culture is guided by four core values: Collaboration, Outperform, Respect, and Evolve —the principles that shape how we work, grow, and succeed together.

Full job record

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Org IDef0ab920-c633-4d34-96eb-ef998822319d
Source IDc000820e-73d1-426f-a070-1797ee787bbf
Board IDc000820e-73d1-426f-a070-1797ee787bbf
Providerlever
Provider Job Keye9bbb38f-d367-4365-a1f7-ae9da6ef312e
TitleArchitect / Principal, AI ML Engineer
Normalized Title
Statusactive
Activeyes
Location TextCanada
DepartmentProduct Development
TeamProduct Development
Employment TypeFull-time
Workplace Typeremote
Remote Policyremote
CountryCanada
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/3pillarglobal/e9bbb38f-d367-4365-a1f7-ae9da6ef312e
Apply URLhttps://jobs.lever.co/3pillarglobal/e9bbb38f-d367-4365-a1f7-ae9da6ef312e/apply
First Seen At2026-05-29 07:00:50Z
Last Seen At2026-06-19 07:57:09Z
Last Checked At2026-06-19 07:57:09Z
Last Changed At2026-06-16 07:57:33Z
Inactive At
Source Posted At2026-05-25 17:35:27Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=3pillarglobal/date=2026-06-19/2026-06-19T07-57-09-260Z-9ac27310fa1d8e2ac175defa1dcb254f8e818dba7cb6128c1d746669ecfd52d6.json
Event Fields
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}
Parsed Structured
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Extensions
{}
Native Structured
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      "text": "Responsibilities ",
      "content": "<div>\n\n<li>\n<p>Define end-to-end architecture for AI/ML and Gen AI, Agentic AI, MCP systems including data pipelines, model training/inference, and MLOps.</p>\n</li>\n<li>\n<p>Serve as a strategic advisor / consultant to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value.</p>\n</li>\n<li>\n<p>Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI).</p>\n</li>\n<li>\n<p>Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (OpenAI, Gemini and others) or open source models like LLama.</p>\n</li>\n<li>\n<p>Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar).</p>\n</li>\n<li>\n<p>Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining.</p>\n</li>\n<li>\n<p>Evaluate build-vs-buy decisions and benchmark AI tools/platforms.</p>\n</li>\n<li>\n<p>Evaluate emerging technologies and trends in AI, ML, Gen AI, Agentic AI space and recommend adoption strategies.</p>\n</li>\n<li>\n<p>Mentor technical teams and guide solution architects, AI/ML engineers.</p>\n</li>\n<li>\n<p>Ensure ethical and responsible AI practices including bias detection, interpretability, and governance.</p>\n</li>\n<li>\n<p>Act as a subject matter expert, providing guidance and mentorship to junior colleagues and strengthen the expertise in the organization.</p>\n</li>\n<li>\n<p>Collaborate with leadership to align machine learning strategies with overall business objectives.</p>\n</li>\n<li>\n<p>Represent the organization at industry conferences, workshops, and events.</p>\n</li>\n<li>\n<p>Drive cross-functional collaboration to identify opportunities for applying machine learning to business challenges.</p>\n</li>\n\n</div>"
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    }
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