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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's Expert Services team is building AI-first capabilities that fundamentally change how identity governance solutions are delivered at scale. We are creating a new category of intelligent automation at the intersection of identity security and applied AI.
As our AI Architect, you will define the technical vision and system architecture for these capabilities. You'll make foundational decisions on how large language models, agentic workflows, and domain-specific AI integrate with Saviynt's platform to deliver production-grade automation. This role requires someone who can operate at both the whiteboard and the codebase — bridging deep AI/ML systems expertise with enterprise identity domain knowledge.
WHAT YOU WILL DOING• Define and own the end-to-end technical architecture for Saviynt's AI-powered delivery automation capabilities across Expert Services.If required for this role, you will:
- Complete security & privacy literacy and awareness training during onboarding and annually thereafter
- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):
> Data Classification, Retention & Handling Policy
> Incident Response Policy/Procedures
> Business Continuity/Disaster Recovery Policy/Procedures
> Mobile Device Policy
> Account Management Policy
> Access Control Policy
> Personnel Security Policy
> Privacy Policy
Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us!
Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job ID: 148564591
Skills:
Tensorflow, Pytorch, Docker, Oracle, Python, AWS, Sql, Cuda, Git, Gcp, Neo4j, Keras, Azure, AWS Bedrock, NVIDIA, Google Gemini, Transformer architecture, Mistral, Vertex AI, Diffusion models, Agentic workflows, Graph DBs, GANs, LLaMA 3.0, Copilot, OpenAI GPT-3.5
Skills:
prompt , Azure, Aws, Docker, Kubernets, Python, Llm
Skills:
cloud security, Data Protection, Javascript, Application Security, Iam, Grc, Python, ZTNA, SASE, SSE, Go, Zero Trust principles, AI security, Security Operations
Skills:
data engineering , Tensorflow, Pytorch, Cloud Architecture, Distributed Systems, Azure, Kubernetes, caching layer, embeddings, Airflow, vector databases, MLflow, platform engineering, LLM RAG patterns, prompt engineering, ML AI engineering, Kubeflow, MLOps tools, KServe, ML frameworks
Skills:
data engineering , linear models , Ml, Nlp, Computer Vision, Gcp, MLops, Data Science, Azure, AWS, agentic AI, LLMs, LLMOps, cloud-native architecture, Ai, tree-based methods, reinforcement learning, graph ML, DataOps, Temporal, stochastic processes