Job Title: Principal Architect – AI/ML

About the Role

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 Healthcare’s 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.

Key Responsibilities

AI/ML Architecture & Engineering

- Architect and develop scalable, production-ready AI/ML systems across the full lifecycle—data 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.

Hands-on Development & Technical Leadership

- 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.

AI/ML & GenAI Solution Development





- 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

MLOps & Platform Engineering

- 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.

Cloud & Distributed Systems

- 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.

Data & Platform Readiness

- 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.

Technical Mentorship & Collaboration

- 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.

Qualifications

Must Have

- 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)

Positive to Have

- 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

Key Attributes

- 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

📌 Principal Architect II - Technology (Chennai)
🏢 Omega Healthcare Management Services
📍 Chennai