Senior AI Engineer

Senior AI Engineer

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 software development.
• Drive Secure SDLC and DevSecOps best practices across engineering organizations.

AI Solution Development

• Design, develop, and deploy production-grade application using C#, Asp.net, SQL server, AI applications using modern AI frameworks.
• Partner with business units to build and assess agentic workflows leveraging LLMs and orchestration frameworks.
• Create evaluation frameworks to measure AI model effectiveness, security, and developer adoption.
• Work with large-scale datasets and telemetry to generate actionable engineering insights.
• Develop APIs, services, and integrations supporting enterprise AI capabilities.

Cross-Functional Collaboration

• Collaborate with Engineering, Product Security, Platform Engineering, DevOps, and Developer Experience teams.
• Present findings and recommendations to technical leaders and executives.
• Influence enterprise AI strategy for secure software development.

Required Qualifications

Experience

• 7+ years of software engineering, security engineering, or related experience.
• 3+ years developing AI, ML, or GenAI solutions in enterprise environments.
• Hands-on experience with developer platforms and modern software delivery practices.
• Prior experience in Application Security, Product Security, DevSecOps, or Secure SDLC programs.

Technical Skills

• Strong programming skills in Python, Java, JavaScript/TypeScript, or Go.
• Experience with LLM platforms such as Azure OpenAI, OpenAI, Anthropic, or similar.
• Expertise in AI agent frameworks and orchestration platforms.
• Experience with vector databases, embeddings, RAG architectures, and knowledge retrieval systems.
• Strong understanding of APIs, microservices, and cloud-native architectures.
• Experience with Azure, AWS, or Google Cloud.

Application Security Expertise

• Deep understanding of Secure SDLC, Threat Modeling, OWASP Top 10, SAST, DAST, IAST, Software Composition Analysis (SCA), Secrets Management, Secure Coding Practices
• Ability to review code and identify security vulnerabilities.
• Familiarity with security tools such as Checkmarx, Veracode, Fortify, Snyk, GitHub Advanced Security, Semgrep, SonarQube, or similar.

Commitment to Diversity, Equity, Inclusion, and Belonging

At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day.

Equal Employment Opportunity

Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Accessibility Support

We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability and require reasonable accommodation with any part of the application and/or interview process, please email talentacquisition@zelis.com.

Experience Level

Senior Level