Optum

Bengaluru
Total Offices: 5
160,000 Total Employees
Year Founded: 2011

Optum Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified

Global Office Locations

Bengaluru

Bengaluru, India, India

Chennai

Chennai, India, India

Hyderabad

Hyderabad, India, India

New Delhi

New Delhi, India, India

Pune

Pune, India, India

Recently posted jobs

9 Days AgoSaved
In-Office
Chennai, Tamil Nadu, IND
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provides 24/7 application and data-feed support for centrally hosted pharmacy software. Monitors systems, investigates and resolves technical issues, troubleshoots software, network, database, and data problems, and escalates complex incidents. Collaborates with developers, DBAs, QA, and support teams; documents knowledge; conducts training; coaches team members; and supports customer escalations and projects.
11 Days AgoSaved
In-Office
Chennai, Tamil Nadu, IND
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads software and AI/ML engineering strategy, architecture, delivery, and organizational development. Manages multi-team engineering organizations, roadmaps, budgets, hiring, and leadership development while overseeing cloud-native services, APIs, machine learning, generative AI, RAG, AI agents, MLOps, LLMOps, responsible AI, security, reliability, and production operations. Partners with product, data, security, and business leaders to deliver measurable outcomes and accelerate modernization.
12 Days AgoSaved
In-Office
Chennai, Tamil Nadu, IND
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the architecture, development, and production delivery of AI/ML capabilities in enterprise healthcare applications. Builds ML and generative AI solutions, RAG systems, model-serving APIs, MLOps workflows, distributed cloud services, and CI/CD pipelines. Ensures responsible AI, security, privacy, reliability, monitoring, and operational readiness. Influences architecture across teams, mentors engineers, documents technical decisions, and delivers reusable production components.