AI Lead / Architect REQ_144

3Pillar Global, Inc.; Canada; Remote; CAD 150,000 - 210,000; Full time

Job summary

3Pillar Global, Inc. is seeking an experienced AI/ML Architect to set technical direction and blueprint scalable AI solutions across domains. You will evaluate technologies, define patterns, and align AI initiatives with business goals and ethics.

You will lead end-to-end architecture for AI/ML, Gen AI, MCP systems, MLOps, and retrieval-augmented generation. The role requires strong Python, cloud platforms, and experience guiding teams and clients.

Qualifications

• Master’s degree or higher in a relevant field and 15+ years of IT services experience.
• Proven expertise in AI system design, RAG, Agent AI, and MCP architectures.
• Strong Python and ML library experience (PyTorch, TensorFlow).
• Hands-on with Gen AI APIs and prompt engineering.
• Experience integrating AI into SDLC workflows and tools.
• Knowledge of data governance and model risk management.
• Excellent leadership and ability to influence stakeholders.

Responsibilities

• Define end-to-end architecture for AI/ML, Gen AI, and MCP systems.
• Lead solution design discussions with clients and present architectures.
• Architect scalable AI solutions using cloud-native tools.
• Guide teams on MLOps, versioning, monitoring, and retraining.
• Evaluate build-vs-buy and benchmark AI tools/platforms.
• Align AI initiatives with business goals and ethics.
• Mentor junior engineers and solution architects.

Skills

AI architecture patterns

Python & ML libraries

Gen AI APIs

MLOps & CI/CD

Cloud platforms

Leadership & client-facing

Education

Master’s degree in CS/related field

15+ years IT services ML/AI

PhD desirable

Tools

GitHub

Jira

Kubeflow

MLflow

SageMaker/AzureML

Docker/Kubernetes

Job description

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.

Key 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, Claude 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.
• Assess clients’ current AI-enabled SDLC (code repositories, ticketing, AI tooling), establish a baseline, and deliver findings with a prioritised improvement backlog.
• Build and tune MCP servers and connectors, and add guardrails and human approval gates for AI-generated changes.
• Set up agent observability and evaluation, and report measurable before/after improvements.

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.
• Hands-on experience integrating AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) into SDLC workflows.
• Platform engineering experience with GitHub and Jira (CI/CD pipelines, branch protection, security scanning, workflow APIs).
• Experience with agent evaluation and observability tools (e.g., LLM-as-judge, Promptfoo, Ragas, OpenTelemetry, Langfuse).
• 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.
• Knowledge of C/C++, Oracle
• Ability to read and navigate large C/C++ codebases; knowledge of Oracle.
• Additional Experience Desired:
• Claude Certified Architect - Nice to have
• Managed LLM platforms and gateways (e.g., AWS Bedrock, Azure OpenAI) for provider-agnostic model access.
• Code intelligence for large legacy codebases (e.g., knowledge graphs, AST parsing, C/C++).
• SDLC productivity metrics (e.g., DORA, defect rates, cycle time).
• 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 offer a world of opportunity:

• Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach.
• You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams.
• We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.
• Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.
• We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally.

We are an equal opportunity employer.