Principal Engineer - Agentic AI Systems at Saviynt

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, Identity Management, Cloud SecurityIndustries

Requirements

12+ years software engineering experience, with 5+ years in large-scale enterprise platforms
3+ years building LLM/AI-driven systems, ideally with multi-agent orchestration
Strong proficiency in Python and AI frameworks (LangChain, LangGraph, Transformers)
Expertise in containerized deployments (Docker, Kubernetes, Helm) with HPA scaling
Proven experience with observability stacks
Hands-on experience with (incomplete in JD, but implied from context: LLMs, cloud systems, security)

Responsibilities

Design multi-agent AI workflows for complex identity and governance scenarios
Architect autonomous planning/execution systems that translate natural language into secure workflows
Build scalable, fault-tolerant microservices with Kubernetes + HPA for enterprise deployments
Implement observability frameworks (metrics, traces, logs) to monitor agentic AI systems
Ensure security, compliance, and auditability in AI workflows
Fine-tune and optimize LLMs (GPT, Claude, Llama) for enterprise identity use cases
Implement RAG, few-shot, and advanced prompting strategies
Build cost-efficient, low-latency inference pipelines using AWS Bedrock and Azure OpenAI
Maintain robust model versioning, evaluation, and A/B testing frameworks
Lead multi-cloud AI deployments (AWS, Azure)
Architect real-time collaboration between human users and AI agents
Build secure service mesh and message queues (Istio, Kafka, RabbitMQ)
Ensure enterprise-grade high availability, disaster recovery, and scaling
Lead and mentor a team of 5-6 AI/ML and backend engineers
Establish technical standards, coding practices, and design reviews
Drive roadmaps and research initiatives in partnership with product and business teams
Foster a culture of innovation, experimentation, and operational excellence

Skills

Key technologies and capabilities for this role

LLMsKubernetesHPAMicroservicesObservabilityMetricsTracesLogsMulti-agent AIAgentic AIIdentity GovernanceCloud Security

Questions & Answers

Common questions about this position

What skills are required for the Principal Engineer role?

The role requires expertise in designing multi-agent AI workflows with LLMs, architecting scalable microservices using Kubernetes, fine-tuning LLMs like GPT and Claude with RAG and prompting strategies, building cloud deployments on AWS and Azure, and implementing observability and security frameworks.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the team structure look like for this position?

The Principal Engineer will lead and mentor a team of 5-6 AI/ML and backend engineers as part of a distributed global R&D team.

What makes a strong candidate for this Principal Engineer position?

A strong candidate is a hands-on technical leader with visionary expertise at the intersection of AI/LLMs, scalable cloud systems, and enterprise security, experienced in production-grade multi-agent AI workflows and mentoring high-caliber engineering teams.

Saviynt

Cloud-based identity security and access governance

About Saviynt

Saviynt provides a cloud-based platform focused on identity security and access governance for businesses. Its services include identity governance and administration, third-party access governance, and cloud privileged access management, all aimed at helping organizations manage and secure digital identities, including those of employees and vendors. The platform features automated workflows and tools that simplify identity lifecycle management, while offering visibility and analytics to help businesses stay audit-ready and reduce identity-related risks. Unlike many competitors, Saviynt emphasizes user-friendliness and ease of implementation, making it accessible for a wide range of clients from small businesses to large enterprises. The company's goal is to protect major brands and support their cloud and security initiatives through a subscription-based model that ensures ongoing revenue and investment in product development.

El Segundo, CaliforniaHeadquarters

2010Year Founded

$165.4MTotal Funding

DEBTCompany Stage

Enterprise Software, CybersecurityIndustries

1,001-5,000Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

Emerging identity security startups pose a threat to Saviynt's market share.

Rapid AI advancements may outpace Saviynt's current technological capabilities.

Data privacy and regulatory challenges could hinder global service expansion.

Differentiation

Saviynt offers a unified platform for cloud, enterprise, and big data security.

The AI-powered Intelligence Suite enhances decision-making in identity and access management.

Saviynt's user-friendly platform simplifies identity lifecycle management with automated workflows.

Upsides

Saviynt's recognition as a 2024 Gartner Customers' Choice highlights strong customer satisfaction.

Partnership with SPG expands cybersecurity capabilities and market reach.

Hiring industry experts strengthens Saviynt's leadership and product marketing efforts.

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