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AI ML Architect

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3Pillar Global

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IT - Software Development

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Job Description:

At 3Pillar, culture is more than a buzzword. The power of culture, teamwork, and open collaboration drive our commitment to building breakthrough software solutions that power digital businesses. Our passion for products has gained us recognition in some of software’s most innovative spaces, including a spot on the Inc. 5000 list ten times, an Institute of Excellence in Sales (IES) Premier Sales Employer winner, a three-time winner of the Washington Post Top Workplaces Award, and notable features in Forbes, Fortune, and the Washington Business Journal. We work with clients to build incredible innovative products as their development partner whose solutions drive rapid revenue, market share, and customer growth for industry leaders in Software and SaaS, Media and Publishing, Information Services, and Retail. Our key differentiator is our Product Mindset and Lightwave Methodology. Our development teams focus on building for outcomes and all of our team members around the globe are trained on the Product Mindset’s core values – Minimize Time to Value, Solve for Need, and Excel at Change. Our teams apply this mindset to build digital products that are customer-facing and revenue-generating. Our business-minded approach to agile development ensures that we align to client goals from the earliest conceptual stages through market launch and beyond.

Job Responsibility:

  • Define end-to-end architecture for AI/ML and Gen AI systems including data pipelines, model training/inference, and MLOps
  • Serve as a strategic technical advisor 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 space and recommend adoption strategies
  • Mentor technical teams and guide solution architects, data engineers, and 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

Requirements:

  • Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 12+ years of industry experience in machine learning or data science, with a track record of delivering impactful projects
  • a Ph.D. is highly desirable
  • Strong grasp of AI architecture patterns (RAG, agent-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

Nice to have:

  • 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 we offer:
  • 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

Additional Information:

Job Posted:
December 14, 2025

Employment Type:
Fulltime
Work Type:
Remote work
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