ML Engineer
Lead enterprise AI transformation as a Principal AI/ML Architect, designing scalable, agentic solutions on HelixAI. Drive end‑to‑end ML pipelines, cloud deployment on AWS, and advanced NLP models to deliver AI‑native products for finance, healthcare, media, and tech clients.
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, E
Posted June 21, 2026