3Pillar Global Logo

3Pillar Global

Architect / Principal, AI ML Engineer

Reposted 5 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
Expert/Leader
Remote
Hiring Remotely in Canada
Expert/Leader
As an AI/ML Architect, you will define architecture for AI solutions, guide teams, mentor, and align initiatives with business goals, focusing on ethical practices.
The summary above was generated by AI

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.

Similar Jobs

33 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
102K-131K Annually
Senior level
102K-131K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Own and optimize Okta identity infrastructure and Google Workspace, build Workato automations (OWL-IT), support IAM initiatives (RBAC, provisioning, SCIM), act as Tier 3 escalation for identity incidents, ensure StateRAMP/FedRAMP compliance, document runbooks, and collaborate with Security/GRC to strengthen identity security.
Top Skills: ConfluenceGemini EnterpriseGoogle Apps Manager (Gam)Google Cloud Platform (Gcp)Google WorkspaceIgaOktaOkta WorkflowsOwl-ItPamPythonRbacRest ApisSaviyntScimSplunkSsoTerraformVertex AiWorkatoWorkato Connector SdkWorkato One
58 Minutes Ago
Remote
121K-164K Annually
Senior level
121K-164K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
The Senior Manager, Corporate FP&A will oversee revenue forecasting, support executive communications, analyze revenue metrics, and enhance forecasting processes in Corporate Finance.
Top Skills: AnaplanDatabricksExcelOracle FinancialsOracle PbcsPigmentTableau
58 Minutes Ago
Remote
196K-266K Annually
Expert/Leader
196K-266K Annually
Expert/Leader
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
As Staff Product Manager, lead product strategy for DocSend, manage product vision, define roadmaps, and drive business results through user insights and collaboration.
Top Skills: Applied MathBusinessComputer ScienceEngineeringInformation SystemsStatistics

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account