Principal Architect II - Technology

Omega Healthcare
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📍 Chennai, Tamil Nadu, India

About this role

Position Dossier – Principal Architect – AI/ML


About Us

Omega Healthcare Management Services® (Omega Healthcare) is an AI-driven healthcare solutions company that partners across the healthcare ecosystem to deliver breakthrough results by reimagining and elevating revenue operations.

Powered by the Omega Digital Platform®, our agentic AI engine leverages adaptive intelligence to drive automation, complemented by deep human expertise to help optimize performance and deliver sustained financial and clinical outcomes—while enhancing patient satisfaction.

With a strong global presence spanning four countries, our team of 30,000+ dedicated professionals collaborate with hospitals, physician groups, and healthcare providers to streamline operations, improve financial performance and elevate patient care outcomes.

We combine our deep domain expertise, advanced technology, and a customer-centric approach in delivering innovative and scalable healthcare support solutions.


Position Title: Principal Architect – AI/ML

Department: Engineering & Technology | Function: AI/ML Platform Engineering


Role Summary

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 across the organisation.


Responsibilities

AI/ML Architecture & Engineering

  • Architect and develop scalable, production-ready AI/ML systems across the full lifecycle – data ingestion, modelling, 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 optimisation, 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 including document understanding & IDP, conversational AI solutions, prediction and classification systems, and 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 containerisation, 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 optimised 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.


Required Education & Certifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
  • Certifications in cloud platforms (AWS, Azure, GCP) or specialised AI/ML credentials are preferred.


Work Experience

  • 12+ 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, and distributed computing frameworks.
  • Hands-on experience with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience building end-to-end ML systems – not just modelling.
  • 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).


Key Skills & Competencies

Technical Skills

  • Deep expertise in AI/ML architecture, distributed systems, and cloud-native engineering.
  • Strong knowledge of system design, scalable architectures, data pipelines, and distributed systems.
  • Proficiency in Python, SQL, TensorFlow, PyTorch, and Scikit-learn.
  • Experience with MLOps platforms and CI/CD-integrated ML workflows.
  • Familiarity with vector databases, knowledge graphs, or multimodal AI systems is a plus.
  • Exposure to real-time ML systems or streaming architectures is a plus.


AI & Digital Competencies

  • Hands-on experience with GenAI and LLM-based solutions including RAG, embeddings, and fine-tuning.
  • Experience building AI platforms or internal ML frameworks.
  • Strong understanding of AI adoption, model lifecycle management, and intelligent automation.


Leadership & Behavioural Competencies

  • Strong hands-on technical mindset with a passion for building scalable, production-grade systems.
  • Ability to operate as a player-coach – architect and active contributor simultaneously.
  • Deep problem-solving skills with a focus on scalability and performance.
  • Strong collaboration and stakeholder management skills across engineering, product, and platform teams.
  • Continuous learning mindset, especially in emerging AI and GenAI technologies.

Frequently Asked Questions

Is the salary disclosed for the Principal Architect II - Technology position at Omega Healthcare?
The salary for this Principal Architect II - Technology role at Omega Healthcare is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Principal Architect II - Technology position at Omega Healthcare located?
This Principal Architect II - Technology role at Omega Healthcare is based in Chennai, Tamil Nadu, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Principal Architect II - Technology position at Omega Healthcare?
Click the "Apply Now" button on this page. You will be redirected to Omega Healthcare's official application portal hosted on peoplestrong where you can submit your application directly.
When was the Principal Architect II - Technology job at Omega Healthcare posted?
This Principal Architect II - Technology position at Omega Healthcare was posted on Sep 3, 2026. Apply as soon as possible — early applications are often reviewed first.
Principal Architect II - Technology
Omega Healthcare
Apply for this role ↗

You'll be redirected to Omega Healthcare's official application page on peoplestrong.