Lead AI/ML Engineer
Hyderabad, Telangana
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign and implement scalable, distributed enterprise applications
Develop, test, and deploy production-grade services and platforms
Lead deep technical problem-solving in complex and ambiguous environments
From the employer’s posting
Technical Leadership & Delivery Design and implement scalable, distributed enterprise applications Drive end-to-end delivery of AI-powered solutions leveraging LLM ecosystems
NLP-based pipelines Develop, test, and deploy production-grade services and platforms Ensure systems meet expectations for:
Scalability Lead deep technical problem-solving in complex and ambiguous environments Architecture & Engineering Excellence
What you’ll bring
All qualificationsCore experience
- 10+ years of hands-on experience designing and delivering enterprise applications
- Experience with GenAI/LLM ecosystems, including:
- Experience working with databases:
- Proven expertise in building and deploying production-grade software systems
Preferred experience
- Experience building and scaling AI-powered enterprise platforms
- Demonstrated ability to influence technical direction across teams
- Proven ability to drive execution and deliver outcomes independently
- Experience working in large, complex enterprise environments
Qualification wording
10+ years of hands-on experience designing and delivering enterprise applications
Experience with GenAI/LLM ecosystems, including:
Experience working with databases:
Proven expertise in building and deploying production-grade software systems
Experience building and scaling AI-powered enterprise platforms
Demonstrated ability to influence technical direction across teams
Proven ability to drive execution and deliver outcomes independently
Experience working in large, complex enterprise environments
Tools in this posting
- Go
- Python
- Azure
- MongoDB
- Google Cloud (GCP)
- PostgreSQL
Source — Tool mentions in context
- Work extensively with: - Programming languages (Go, Python, or equivalent) - Databases (MongoDB, PostgreSQL)
- Solid hands-on programming experience in: - Go, Python, or similar languages - Experience with GenAI/LLM ecosystems, including:
- Databases (MongoDB, PostgreSQL) - Cloud platforms (Azure / GCP) - Container-based deployments and orchestration (ACA preferred)
- Experience with: - Cloud platforms (Azure / GCP) - Containers and cloud-native deployments (ACA preferred)
- Programming languages (Go, Python, or equivalent) - Databases (MongoDB, PostgreSQL) - Cloud platforms (Azure / GCP)
- Experience working with databases: - MongoDB - PostgreSQL
- MongoDB - PostgreSQL - Experience with:
Job description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
We are seeking a highly experienced and hands-on Principal Software Engineer (IC Role) to design, build, and scale enterprise-grade, AI-powered platforms and applications.
This role requires deep expertise in distributed systems, modern cloud-native architectures, and GenAI/LLM ecosystems, with a solid emphasis on hands-on engineering and end-to-end ownership of complex systems.
The ideal candidate will influence technical direction across teams while remaining deeply involved in system design, coding, and production delivery.
What Success Looks Like
Scalable, resilient, and production-ready enterprise platforms
High-quality, maintainable, and performant codebases
Successful delivery of AI-powered solutions into production
Solid adoption of best practices in system design and engineering excellence
Technical influence across teams and platforms
Primary Responsibilities:
Technical Leadership & Delivery
Design and implement scalable, distributed enterprise applications
Drive end-to-end delivery of AI-powered solutions leveraging LLM ecosystems
Build intelligent systems using GenAI patterns, including:
Retrieval-Augmented Generation (RAG)
Embeddings and semantic search
NLP-based pipelines
Develop, test, and deploy production-grade services and platforms
Ensure systems meet expectations for:
Performance
Reliability
Scalability
Lead deep technical problem-solving in complex and ambiguous environments
Architecture & Engineering Excellence
Architect and implement:
Microservices-based systems
Event-driven architectures
Robust API-driven platforms
Define and enforce best practices in:
System design
Code quality
Testing strategies
Secure software engineering
Optimize systems for high throughput, low latency, and fault tolerance
Platform & Technology Development
Work extensively with:
Programming languages (Go, Python, or equivalent)
Databases (MongoDB, PostgreSQL)
Cloud platforms (Azure / GCP)
Container-based deployments and orchestration (ACA preferred)
Build and maintain CI/CD pipelines and DevOps practices
Enable efficient, automated, and reliable software delivery
Observability & Production Reliability
Design and implement observability frameworks including:
Logging
Monitoring
Tracing
Troubleshoot production issues and ensure rapid resolution
Continuously improve system reliability and operational excellence
* Stakeholder & Cross-Team Collaboration
Collaborate with:
Product teams
Engineering teams
Translate business requirements into scalable technical solutions
Influence architecture decisions across teams without direct authority
Communicate complex technical concepts clearly to diverse audiences
Mentorship & Technical Influence
Mentor and guide engineers to improve technical capabilities
Promote engineering best practices and design rigor
Drive technical reviews, design discussions, and innovation initiatives
Foster a culture of high-quality engineering and continuous improvement
Compliance
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
10+ years of hands-on experience designing and delivering enterprise applications
Proven expertise in building and deploying production-grade software systems
Solid hands-on programming experience in:
Go, Python, or similar languages
Experience with GenAI/LLM ecosystems, including:
RAG architectures
Embeddings
NLP workflows
Experience working with databases:
MongoDB
PostgreSQL
Experience with:
Cloud platforms (Azure / GCP)
Containers and cloud-native deployments (ACA preferred)
CI/CD pipelines and DevOps tooling
Solid understanding of:
Scalability, performance, and reliability principles
Observability and production troubleshooting
Secure software engineering practices
End-to-end system delivery
Expertise in:
System design and distributed systems
Microservices architecture
Event-driven systems
API design and integration patterns
Preferred Qualifications:
Experience building and scaling AI-powered enterprise platforms
Experience working in large, complex enterprise environments
Familiarity with advanced observability and monitoring ecosystems
Leadership & Execution:
Demonstrated ability to influence technical direction across teams
Solid problem-solving skills in ambiguous and complex environments
Proven ability to drive execution and deliver outcomes independently
Communication & Collaboration
Solid communication skills across technical and business audiences
Ability to clearly articulate architecture and design decisions
Effective stakeholder engagement and cross-team alignment
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
#Exectech
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, Telangana
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 2, 2026
- Recorded sightings
- 118
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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