3Pillar Global Logo

3Pillar Global

Architect / Principal, AI ML Engineer

Reposted 15 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

An Hour Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Sell ServiceNow SaaS solutions by generating new business, building C-suite relationships, orchestrating account strategies across virtual teams, advising on IT roadmaps and AI integration, and closing deals while promoting customer success and achieving sales targets.
Top Skills: AISaaSServicenow
An Hour Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead production database performance and troubleshooting for multi-tenant PostgreSQL/MariaDB fleets. Perform RCA of incidents, develop observability and automation, influence infrastructure decisions, mentor engineers, and support large-scale web distributed applications. Drive performance/stress testing and develop solutions for SaaS/PaaS cloud environments.
Top Skills: AnsibleApacheCi/CdHyperscalerJavaScriptJbossKubernetesLinuxMariadbPostgresPythonServicenowShell Scripting (Bash)TomcatUnixWeblogicWebsphere
4 Hours Ago
Remote or Hybrid
Chicago, IL, USA
60K-125K Annually
Entry level
60K-125K Annually
Entry level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Contribute to modernization and technical-debt reduction efforts, implement and test features, participate in code reviews, follow CI/CD and Agile practices, and collaborate with senior engineers while learning cloud and security practices.
Top Skills: Automated TestingC#Ci/CdConfluenceGoGoogle Cloud PlatformGrpcJIRAKubernetesPythonReactRest ApisSQLTerraform

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account