Platform Engineer at Valuelabs in Hyderabad

Roles and Responsibilities :

Governance Architecture & Platform Engineering Architect and implement an Agentic AI Governance layer, including an agent registry, tool/connector catalog, identity-scoped permissions, and real-time guardrails on LLM and tool-call outputs across student journey workflows.

Design and maintain an AI Use-Case Registry & Inventory, providing central intake, vendor AI inventory tracking across CRM/LMS/SIS, unique use-case IDs, lifecycle state tracking, and entity-level visibility. Build a Risk Tier Classification Engine supporting automated and policy-driven multi-tier assignment, risk scoring, escalation triggers, and support for multi-tenancy and cross-domain risk axes.

Design and maintain Logging & Traceability infrastructure capturing prompts/hashes, model version, output type, override flags, and timestamps, ensuring a full audit trail for the multi-tier use cases.

Architect Kill-Switch & Rollback Controls, including documented per-use-case and per-vendor-feature disable paths, rollback documentation, kill-switch owner assignment, and auditability of disable events. Evaluate and recommend the most appropriate AI governance, evaluation, and observability tools and frameworks, balancing scalability, integration, and maintenance considerations.

Cross-Functional Collaboration & Multi-Entity Governance Under the direction of the Director, design and implement Multi-Tenant / Multi-Entity Support, including entity-level data isolation, per-entity steward configuration, and cross-entity audit without data commingling.

Define and implement Human Oversight & Escalation Routing, including named oversight owner assignment, escalation workflows, and cross-entity routing logic determining which entity steward is triggered for which agent event.

Partner with counterparts across Infrastructure, InfoSec, Compliance, and Applications Engineering to align on security, governance, deployment, and performance standards. Support the translation of high-level governance and compliance objectives into detailed technical designs, guiding implementation across teams. Delivery,

Compliance & Operationalization Own Deployment Governance & Gate Workflow processes, enforcing the 5-gate freeze rule, integrating with ADRs, and supporting approval routing, AI Control Authority sign-off, and exception management.

Ensure Compliance & Regulatory Alignment with FERPA, GLBA, SOC 2 Type II, and higher-ed sector frameworks, implementing policy-as-code for regulatory requirements and supporting automated compliance attestation.

Deliver Microsoft + Databricks Native Integration wherever possible – including Purview, Azure AI Foundry, Copilot Studio, Unity Catalog, and MLflow – favoring native connectors over custom middleware. Build Reporting & Executive Dashboards covering spend visibility, risk posture, review cadence tracking, AI Control Authority reporting, and entity-level rollups.

Document architectural decisions and governance patterns to ensure continuity, supportability, and transparency across the organization.

Job Requirements :
• 6+ years of experience in IT services & consulting industry.
• Strong expertise in artificial intelligence, governance, and Microsoft Azure technologies.
• Proven track record of designing and implementing scalable cloud architectures for large-scale applications.