Principal AIML Architect

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.

What Its Like to Work at 3Pillar:

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.

Responsibilities

• Design and lead end-to-end AI/ML and Generative AI solutions.

• Architect scalable cloud-based AI platforms and applications.
• Build and integrate LLM, RAG, and Agentic AI solutions.
• Define and implement MLOps best practices for deployment, monitoring, and governance.
• Collaborate with stakeholders to drive AI strategy and innovation.
• Mentor technical teams and ensure successful solution delivery.

• 12+ years of experience in AI/ML and Data Science.

• Strong expertise in Machine Learning, Generative AI, LLMs, Agentic AI, and MLOps.
• Hands-on experience with Python, REST APIs, and Splunk.
• Experience with OpenAI, Gemini, Claude, Llama, or similar AI platforms.
• Knowledge of RAG, prompt engineering, model fine-tuning, and AI architecture patterns.
• Experience with cloud platforms (AWS, Azure, or GCP), Docker, and Kubernetes.
• Strong understanding of AI governance, compliance, and model monitoring.
• Excellent communication, leadership, and stakeholder management skills.