Join Delphi - Where Innovation meets transformation

Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both so you can prioritize what matters most. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset.

Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics, transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future.

About the Role: LLMOps Engineer or Azure AI Platform Engineer - LLMOps.

India Remote

Experience - 10–14+ years overall, operating at Lead / Principal level

Employment Type - Full time

We are seeking a Lead Azure GenAIOps / LLMOps Engineer to design, build, and operate a secure, observable, governed Azure GenAI platform that can be reused by multiple product and business teams. This role is not focused on model training or fine-tuning. Instead, it owns LLM operationalization, governance, observability, safety, cost control, and platform reliability across enterprise environments. You will work at the intersection of AI Platform Engineering, LLMOps, Cloud Architecture, and DevSecOps, partnering closely with application teams, security teams, and cloud platform teams.

o Azure AI Foundry (must-have)

• Define reference architectures for RAG, agents, and LLM-powered apps.
• o AKS, App Service, and Azure ML

(Candidate should have strong experience with at least one; LLM Runtime, Agent & Tool Governance

• Implement AI Gateway / Azure API Management for:

Define MCP server / tool governance standards:

o Function calling approvals

CI/CD, Environment Promotion & Configuration Management

• Define environment promotion models across:

Observability, Quality & Reliability

• Implement LLM observability using tools such as:

o Tool-call tracing

Own incident response, on-call readiness, rollback, and DR testing.

RAG Quality & Evaluation

• Implement continuous monitoring for:

o Retrieval quality

o Chunk quality

o Citation quality

Maintain baseline and golden datasets to detect quality drift.

GenAI Safety & Responsible AI Controls

• o Content moderation

Collaborate with security teams on policy definitions (ownership is shared, not siloed).

Security, Networking & Identity (Design Ownership)

• o Private networking

o Private Endpoints

Cost, Routing & Performance Optimization"

• Compliance & Audit Automation
• o Policy enforcement proofs

o Promotion records

• Reduce reliance on manual audit documentation.

Secure AI Gateway patterns

• Azure & AI Platform
• Azure OpenAI, Azure AI Foundry (mandatory)
• AKS or App Service or Azure ML (deep expertise in at least one)
• Azure API Management / AI Gateway patterns
• Private networking, Managed Identity, Key Vault

Multi-tenant GenAI platform experience (strongly preferred)

Automation & Engineering

• Python, Bash, YAML
• REST APIs and SDK-based automation
• CI/CD using Azure DevOps or GitHub Actions
• Microsoft Agent Framework
• FastAPI
• Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company sponsored certifications, training programs, and skill-building opportunities to help you succeed. We foster a culture of inclusivity and support, with remote work options and a fully supported work-from home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.