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Principal Architect

BharatPe

Gurgaon, Haryana, IndiaJobPosted 5mo agoStill listed 2 days ago

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At a glance

Compensation
No compensation found
Location
Gurgaon, Haryana, India
Work Authorization
Not specified

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Job overview

We are seeking a principal architect who is a tech enthusiast with a drive for excellence and an out‑of‑the‑box mindset to meet business needs in a complex payments environment, leading cloud modernization and AI‑enabled initiatives.

Skills & qualifications

RequiredNice to have

Skills

GovernanceRed TeamingArtificial IntelligenceObservabilityAccess ControlAuditLLM Enabled ApplicationsAgentic ArchitecturesResponsible AI GovernanceAudit LoggingData Access ControlsSecrets HandlingPolicy EnforcementPrompt Injection MitigationCost Latency MonitoringEnterprise Data HandlingPii Data Handling

Full job description

We're looking for a principal architect who is a tech enthusiast with a drive for excellence and an out-of-the-box mindset to satisfy business needs in a complex payments environment. You will be a key technical leader in our cloud modernisation initiative while also accelerating how we use AI to improve engineering velocity, reliability, and customer outcomes by enabling safe, governed adoption of GenAI, building agentic systems, and embedding AI-assisted capabilities into our platforms and workflows.

Responsibilities:

  • You will introduce AI-enabled capabilities to solve engineering and business problems by identifying high-value use cases, enabling AI adoption and AI-led development practices across teams, and delivering measurable outcomes.
  • You will build and ship agentic systems that can plan, execute, and collaborate with humans safely with robust controls and help build core AI capabilities to scale adoption.

Requirements:

  • You also have a strong point of view on practical AI adoption.
  • You can translate real engineering pain points into AI-enabled solutions, select the right patterns and ship systems with strong evaluation, observability, and governance.

Key Skills and Competencies:

  • Experience in designing and shipping LLM-enabled applications and agentic architectures in production environments, with sound judgement on when not to use agents.
  • Experience in responsible AI governance, evaluation, and data safety, including prompt injection mitigation, data access controls, secrets handling, policy enforcement, audit logging, offline/online evaluation, observability, red teaming, cost/latency monitoring, and safe handling of enterprise and PII data.

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