Senior AI Developer
BengaluruOn-siteFull-time
AI Summary
Senior AI Developer designs and builds AI-powered automation tools and pipelines for Expert Services, turning knowledge-intensive processes into scalable workflows.
About this role
Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.
Saviynt is investing heavily in AI-driven automation to transform how Expert Services delivers identity governance solutions. We are building intelligent systems that reduce manual effort, improve delivery consistency, and help customers realize value faster.
As a Senior AI Developer, you will design and build the AI-powered tools and automation pipelines that our ES team relies on every day. You’ll work at the intersection of applied AI, enterprise software, and identity security — turning complex, knowledge-intensive processes into scalable, repeatable workflows. This is a hands-on building role with direct impact on how Saviynt serves its customers.
WHAT YOU WILL DOING
• Design, build, and maintain AI-powered automation systems that streamline identity governance delivery and accelerate customer implementations.
• Develop intelligent workflows that integrate large language models, search APIs, and data extraction tools to automate complex, knowledge-intensive processes.
• Implement quality-assurance mechanisms including confidence scoring, output validation, and human-in-the-loop review gates to ensure production-grade results from AI-generated outputs.
• Build and extend internal platforms and tools that enable Expert Services teams to deliver faster, more consistent outcomes at scale.
• Own critical automation pipelines end-to-end — from data ingestion and discovery through processing, validation, and packaged output delivery.
• Collaborate with domain experts, ES consultants, and product engineers to translate subject- matter expertise into automated, repeatable delivery patterns.
• Write clean, well-tested Python and Node.js code; build containerized services deployable on cloud infrastructure with industry-standard security practices.
• Contribute to internal tooling for ES delivery automation, operational efficiency, and project management integrations.
• Participate in architecture reviews, code reviews, and sprint ceremonies within a fast-moving, innovation-driven engineering team.
• Develop intelligent workflows that integrate large language models, search APIs, and data extraction tools to automate complex, knowledge-intensive processes.
• Implement quality-assurance mechanisms including confidence scoring, output validation, and human-in-the-loop review gates to ensure production-grade results from AI-generated outputs.
• Build and extend internal platforms and tools that enable Expert Services teams to deliver faster, more consistent outcomes at scale.
• Own critical automation pipelines end-to-end — from data ingestion and discovery through processing, validation, and packaged output delivery.
• Collaborate with domain experts, ES consultants, and product engineers to translate subject- matter expertise into automated, repeatable delivery patterns.
• Write clean, well-tested Python and Node.js code; build containerized services deployable on cloud infrastructure with industry-standard security practices.
• Contribute to internal tooling for ES delivery automation, operational efficiency, and project management integrations.
• Participate in architecture reviews, code reviews, and sprint ceremonies within a fast-moving, innovation-driven engineering team.
WHAT YOU BRING
• 5+ years of software development experience with strong proficiency in Python and Node.js / TypeScript.
• 2+ years hands-on experience building applications that integrate LLM APIs (OpenAI, Anthropic Claude, Google Gemini, or similar).
• Proven experience with workflow orchestration platforms and multi-step automation pipelines.
• Strong understanding of REST API design, JSON/schema manipulation, and data extraction pipelines.
• Experience with Docker, Linux server administration, and cloud deployment (AWS preferred).
• Comfort working with semi-structured and noisy data; experience with validation loops and error-handling in AI-driven systems.
• Familiarity with Identity Governance & Administration (IGA), IAM, or enterprise SaaS integration patterns.
• Excellent written and verbal communication skills; ability to translate complex technical work into clear documentation
• 2+ years hands-on experience building applications that integrate LLM APIs (OpenAI, Anthropic Claude, Google Gemini, or similar).
• Proven experience with workflow orchestration platforms and multi-step automation pipelines.
• Strong understanding of REST API design, JSON/schema manipulation, and data extraction pipelines.
• Experience with Docker, Linux server administration, and cloud deployment (AWS preferred).
• Comfort working with semi-structured and noisy data; experience with validation loops and error-handling in AI-driven systems.
• Familiarity with Identity Governance & Administration (IGA), IAM, or enterprise SaaS integration patterns.
• Excellent written and verbal communication skills; ability to translate complex technical work into clear documentation
• Experience with identity platforms such as Saviynt, Oracle Identity Manager (OIM), SailPoint, or similar IGA solutions.
• Familiarity with agentic AI architectures, tool-use patterns, or multi-model orchestration in LLM applications.
• Experience building internal developer tools, CLI utilities, or self-service platforms.
• Background in Expert Services, consulting, or customer-facing delivery engineering.
• Exposure to prompt engineering best practices, structured output extraction, and retrieval-augmented generation (RAG) patterns.
• Familiarity with agentic AI architectures, tool-use patterns, or multi-model orchestration in LLM applications.
• Experience building internal developer tools, CLI utilities, or self-service platforms.
• Background in Expert Services, consulting, or customer-facing delivery engineering.
• Exposure to prompt engineering best practices, structured output extraction, and retrieval-augmented generation (RAG) patterns.
Skills
Agentic AIAnthropic ClaudeArchitecture ReviewsAWSCLI ToolsCloud DeploymentCode ReviewsContainerized ServicesData Extraction PipelinesData IngestionDeveloper ToolingDockerEnterprise SaaS IntegrationsError HandlingGoogle GeminiHuman-in-the-loopIAMIdentity PlatformsIGAJSONLinuxLLM APIsMultimodel OrchestrationNode.jsOIMOpenAIPrompt EngineeringPythonRAGREST APISailPointSchema ManipulationSecurity PracticesSprint CeremoniesTypeScriptValidation LoopsWorkflow Orchestration
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