AI ML Architect

3PILLAR GLOBAL Company 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. 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. WHAT WE BELIEVE At 3Pillar, our core values – Intrinsic Dignity, Outsized Impact, Open Collaboration, and Continuous Improvement – drive our commitment to providing best in class product development services to high growth businesses across the globe. We’ve spent more than fifteen years building innovative software solutions. Our executive team has always held our values to the highest standard which has led to active participation on the Forbes Tech Council, a winner of the Ernst & Young Entrepreneur of the Year Award, and a spot on the Washington Business Journal’s Women Who Mean Business list. RESPONSBILITIES 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 plu