Description

You will design, build, and deploy enterprise-grade AI solutions on Azure, translating business requirements into production-ready systems while leading delivery for C-level stakeholders.

This role is hybrid.

Responsibilities

• Own end-to-end solution delivery across Compliance, Legal, and Risk domains, managing UAT to production transitions and release readiness.
• Design and implement agent workflows on Apollo's Axon SDK and Azure AI Foundry, integrating Azure OpenAI, Document Intelligence, and AI Search.
• Build and maintain CI/CD pipelines and DevOps processes on Azure using GitOps and Flux deployment patterns.
• Develop multi-step automations and AI pipelines using Temporal as the enterprise workflow orchestrator.
• Integrate solutions with Apollo's Snowflake-based data platform and expose capabilities through the internal Model Context Protocol (MCP) broker.

Required Skills

• 10+ years of engineering experience with proven track record of end-to-end solution delivery in production environments.
• Strong hands-on expertise with Azure services: AKS, Azure AI Services, and CI/CD pipeline implementation.
• Proficiency in GitOps deployment patterns and Flux-based release workflows.
• Experience writing infrastructure configuration using Terraform or equivalent IaC tools.
• Deep practical experience with AI development workflows, including agent design, prompt engineering, and model selection.
• Fluency with AI-assisted development tooling such as Cursor, Claude, or Codex.
• Strong stakeholder management skills, with ability to operate credibly at both technical and senior business levels.

Preferred Skills

• Working knowledge of Azure AI Foundry, Azure OpenAI, Document Intelligence, and AI Search.
• Experience with Temporal or comparable workflow orchestration platforms.

Key Skills

Education

Any Graduate