Senior Engineer - Agentic AI

About Saviynt

Saviynt’s Enterprise Identity Cloud helps modern enterprises scale cloud initiatives and solve the toughest security and compliance challenges in record time. The company brings together identity governance (IGA), granular application access, cloud security, and Privileged Access Management (PAM) to secure the entire business ecosystem and provide a frictionless user experience. The world’s largest brands trust Saviynt to accelerate digital transformation, empower distributed workforces, and meet continuous compliance. We are a distributed global R&D team that is extremely focused on building a platform that solves the toughest security and compliance challenges while helping Saviynt maintain its leadership position in delivering enterprise identity cloud solutions.

About the Role

We are looking for a highly skilled and motivated Senior Software Engineer to join our Agentic AI team within Saviynt’s Enterprise Identity Cloud. You will work on developing, optimizing, and deploying AI-driven solutions, focusing on building scalable products that leverage LLMs and orchestration frameworks. The role involves hands-on development, close collaboration with cross-functional teams, and delivering high-quality, secure, and observable systems in a multi-cloud environment.

What You’ll Do

Architecture & Development

• Contribute to the design and implementation of multi-agent AI workflows.
• Develop microservices and APIs with strong focus on scalability and resilience using Kubernetes and HPA.
• Implement observability (metrics, traces, logs) into all deployed systems.
• Collaborate with architects and principal engineers to enhance system reliability and compliance.

LLM Engineering

• Work with foundation models (GPT, Claude, Llama) to build domain-specific AI features.
• Apply RAG and prompt engineering techniques for enterprise identity use cases.
• Contribute to the development of cost-efficient inference pipelines with AWS Bedrock and Azure OpenAI.

Cloud & Systems

• Develop and deploy solutions in multi-cloud environments (AWS, Azure).
• Integrate with secure messaging and orchestration systems (Kafka, RabbitMQ, Istio).
• Ensure systems follow security, compliance, and enterprise audit requirements.

Collaboration & Growth

• Work closely with cross-functional teams to translate product requirements into technical solutions.
• Participate in code reviews, knowledge sharing, and team discussions.
• Stay updated with emerging AI/ML frameworks and contribute to continuous improvement.

What You Bring

Required

• 5–8 years of software engineering experience, with at least 2 years in AI/ML or large-scale enterprise systems.
• Strong programming skills in Python and experience with AI/ML frameworks (LangChain, LangGraph, Transformers).
• Hands-on experience in developing containerized applications (Docker, Kubernetes).
• Exposure to observability frameworks (Prometheus, Grafana, ELK).
• Experience working with cloud services such as AWS and/or Azure.
• Good understanding of scalable systems, HPA, and secure coding practices.

Preferred

• Experience with AWS Bedrock or Azure OpenAI services.
• Knowledge of vector databases and semantic search.
• Familiarity with Kafka, RabbitMQ, or service mesh (Istio).
• Contributions to open-source AI or cloud projects.

Tech Stack You’ll Work On

• Languages: Python, Java
• AI Frameworks: LangChain, LangGraph, Transformers
• Cloud Providers: AWS, Azure
• Databases: PostgreSQL, Redis
• Infra & Observability: Kubernetes, HPA, Grafana, Prometheus
• Messaging: Kafka, RabbitMQ

Why Join Us?

At Saviynt, you’ll work on cutting-edge Agentic AI solutions that redefine enterprise identity and access management. You’ll have opportunities to innovate with advanced AI frameworks, collaborate with talented engineers, and contribute to scalable, secure systems serving some of the world’s largest enterprises.