Senior AI Engineer
- Source: Workday
- LE018 Zelis Healthcare, LLC
- On-site
- Hyderabad
- Full-Time
- Senior
Job Description
About Us
Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.
At Zelis, AI is woven into the fabric of how we work. Every associate is expected - and empowered - to partner with AI to challenge the status quo, accelerate innovation, and amplify their impact. This is a place for builders with a growth mindset who act with agility, embrace change, and use modern technology to shape smarter solutions, exceptional experiences, and the future of our industry for our clients, customers, and our culture.
Why We Do What We Do
In the U.S., consumers, payers, and providers face significant challenges throughout the healthcare financial journey. Zelis helps streamline the process by offering solutions that improve transparency, efficiency, and communication among all parties involved. By addressing the obstacles that patients face in accessing care, navigating the intricacies of insurance claims, and the logistical challenges healthcare providers encounter with processing payments, Zelis aims to create a more seamless and effective healthcare financial system.
Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth. With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis’ award-winning culture.
Position Overview
We are seeking a highly technical and innovative AI Engineer with deep expertise in developer workflows, software engineering practices, and Application Security (AppSec). This role will focus on building and assessing AI-driven solutions that enhance the software development lifecycle (SDLC), improve developer productivity, and integrate security seamlessly into engineering workflows.
The ideal candidate combines hands-on experience with modern AI technologies (LLMs, AI agents, RAG, and automation) and deep knowledge of secure software development practices. They will partner within Product Security, and other teams including Engineering, DevOps, and Platform teams to develop intelligent capabilities that help developers build secure software faster.
Key Responsibilities
AI-Powered Developer Workflow
- Analyze and map end-to-end developer workflows across planning, coding, testing, CI/CD, deployment, and operations.
- Design, build and assess AI-powered solutions that improve developer productivity and engineering efficiency.
- Develop AI agents and copilots for product security team to automate repetitive engineering and security tasks.
- Implement Retrieval-Augmented Generation (RAG) and knowledge systems that leverage internal documentation, security standards, and best practices.
- Build integrations across developer tools including GitHub, GitLab, Jira, Azure DevOps, Jenkins, and IDE platforms.
- Identify bottlenecks in development workflows and recommend AI-based process improvements complying with security standards.
Application Security
- Serve as the Application Security Subject Matter Expert (SME) for AI-enabled development initiatives.
- Embed security controls and guidance directly into developer workflows.
- Define approaches for secure code generation and AI-assisted software development.
- Partner within Product Security teams to integrate SAST, DAST, SCA, secrets detection, IaC scanning, and container security into AI solutions.
- Develop security guardrails for AI-generated code and AI agents.
- Evaluate and mitigate risks associated with LLMs, AI agents, and autonomous s…
Skills
- streamline
- Github
- gitlab
- JIRA
- microsoft-azure
- azure-devops
- Jenkins
- guardrails
- c-sharp
- asp-net
- dot-net
- Python
- Java
- javascript
- TypeScript
- microsoft-typescript
- Golang
- amazon-web-services
- google-cloud-platform
- checkmarx
- veracode
- fortify
- snyk
- semgrep
- sonarqube
- workday
