Principal Architect II - Technology

PeopleStrong; Chennai District; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Omega Healthcare Management Services seeks a Principal Architect – AI/ML to lead design, development and deployment of scalable AI platforms. This role is hands-on, combining architecture with coding, model development and system design to drive technical excellence.

The candidate will guide teams through complex problems, implement GenAI/LMM approaches, and oversee end-to-end ML pipelines across multi-cloud environments. This position demands leadership and deep technical expertise.

Qualifications

• 12+ years of experience in AI/ML, software engineering, or platform engineering.
• Proven experience deploying AI/ML solutions in production.
• Strong hands-on expertise in Python, SQL, and distributed computing frameworks.
• Hands-on experience with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with GenAI/LLMs (RAG, embeddings, fine-tuning).

Responsibilities

• Architect and develop scalable AI/ML systems through full data lifecycle.
• Lead and mentor teams, guiding design and implementation best practices.
• Build and deploy GenAI solutions and multi-cloud AI platforms.
• Establish robust MLOps, CI/CD pipelines, and model lifecycle management.

Skills

AI/ML architecture

Distributed systems

Python

GenAI/LLMs

Cloud platforms

MLOps

TensorFlow/PyTorch

Education

Bachelor’s or Master’s in CS/Engineering/Mathematics

Tools

MLflow

Kubeflow

SageMaker

Vertex AI

Airflow

Job description

• TAMIL NADU

Posted On 03 Sep 2026

End Date 30 Sep 2026

Required Experience 14 - 18 years

Basic Section

No. Of Openings 1

Grade T4C

Closing Date 30 Sep 2026

Organisational

Country IN

State TAMIL NADU

City CHENNAI

Skills

Skill

Education Qualification

CERTIFICATION

Job Description

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.

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.
• 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 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.
• 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).

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.
• 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.
• 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.