Principal Architect II Technology

We are seeking a Principal Architect AI/ML who will lead the design development and deployment of scalable production-grade AI/ML and GenAI solutions across Omega Healthcares technology ecosystem.

This is a highly technical hands-on leadership role focused on building next-generation AI platforms frameworks and intelligent systems. The role demands deep expertise in AI/ML architecture distributed systems and cloud-native engineering along with the ability to guide teams through complex problem-solving and solution delivery.

Unlike traditional leadership roles this position requires active involvement in architecture coding model development and system design while mentoring engineering teams and driving technical excellence.

• Architect and develop scalable production-ready AI/ML systems across the full lifecycledata ingestion modeling deployment and monitoring.
• Design modular AI platforms reusable components and ML frameworks to accelerate solution development.
• Lead development of high-performance ML systems leveraging distributed computing and large-scale data processing.

• Actively contribute to coding model development system design and troubleshooting.
• Provide deep technical guidance to engineering and ML teams ensuring best practices in design and implementation.
• Solve complex engineering challenges in model scalability latency optimization and real-time inference systems.

• Build and deploy advanced ML models including supervised unsupervised and deep learning systems.
• Drive adoption of GenAI and LLM-based solutions (RAG embeddings prompt engineering fine-tuning).
• Develop intelligent systems such as:
  • Document understanding & IDP
  • Conversational AI solutions
  • Prediction and classification systems
  • Automation using NLP and AI models

• Establish and implement robust MLOps practices for model lifecycle management.
• Build automated pipelines for training testing deployment monitoring and retraining.
• Integrate ML workflows into CI/CD pipelines and cloud-native architectures.

• Architect solutions across multi-cloud environments (Azure AWS GCP).
• Leverage containerization Kubernetes microservices and serverless architectures for AI workloads.
• Design systems for scalability fault tolerance and high availability.

• Work closely with data engineering teams to ensure high-quality scalable data pipelines.
• Design feature stores model serving layers and data access patterns optimized for ML use cases.

• Mentor and upskill teams of ML engineers and software developers.
• Collaborate with product engineering and platform teams to ensure successful solution delivery.
• Act as a technical anchor in architecture discussions design reviews and innovation initiatives.

• 15 years of experience in AI/ML software engineering or platform engineering roles
• Proven experience designing and deploying AI/ML solutions in production environments
• Strong hands-on expertise in:
  • Python SQL distributed computing frameworks
  • ML libraries/frameworks (TensorFlow PyTorch Scikit-learn)
• Experience building end-to-end ML systems (not just modeling)
• Strong knowledge of:
  • System design and scalable architectures
  • Data pipelines and distributed systems
• Experience with MLOps tools (MLflow Kubeflow SageMaker Azure ML Vertex AI Airflow)
• Hands-on experience with GenAI / LLMs (RAG embeddings fine-tuning prompt engineering)
• Experience working with cloud platforms (AWS/Azure/GCP)

• Experience working with vector databases knowledge graphs or multimodal AI systems
• Exposure to real-time ML systems or streaming architectures
• Experience building AI platforms or internal ML frameworks

• Strong hands-on technical mindset with passion for building systems
• Ability to operate as a player-coach (architect contributor)
• Deep problem-solving skills with focus on scalability and performance
• Strong collaboration and stakeholder management skills
• Continuous learning mindset especially in emerging AI/GenAI technologies

Required Experience:

Staff IC