Lead Applied AI Engineer

Siri InfoSolutions Inc; United States; Hybrid; USD 110,000 - 150,000; Full time

Job summary

Siri InfoSolutions Inc is seeking a Lead Applied AI Engineer to architect and deliver advanced AI systems that seamlessly integrate Generative AI capabilities, AI agents, and modern enterprise platforms. You will design, build, deploy, and scale production-grade AI solutions for large-scale operations.

You will define technical standards, lead enterprise AI adoption, establish engineering best practices, and mentor teams at the intersection of AI innovation, enterprise architecture, platform

Responsibilities

• Architect end-to-end AI systems including Advanced RAG pipelines.
• Multi-stage retrieval and re-ranking architectures.
• Agent orchestration frameworks coordinating multiple specialized agents.
• Multi-model AI integrations leveraging model-specific strengths.
• Design solutions with modularity, extensibility, scalability, and operational excellence to support evolving business requirements.

Job description

Job Details:-

Job Title: Lead Applied AI Engineer

Location: Remote and Onsite in New York, NY / Louisville, KY

Duration: Fulltime Hire with Client TCS

Salary Range: $110000 - $150000 a year + benefits

We are seeking an accomplished Lead Applied AI Engineer to architect and deliver advanced AI systems that seamlessly integrate Generative AI capabilities, AI agents, and modern enterprise platforms.

This role is responsible for designing, building, deploying, and scaling production-grade AI solutions that support large-scale business operations while maintaining high standards of security, reliability, governance, and responsible AI practices.

The Lead Applied AI Engineer will define technical standards, lead enterprise AI adoption, establish engineering best practices, and mentor engineering teams. This position operates at the intersection of AI innovation, enterprise architecture, platform engineering, and responsible AI governance.

Key Responsibilities

AI Solution Architecture

Architect comprehensive end-to-end AI systems including:

• Advanced RAG (Retrieval-Augmented Generation) pipelines
• Multi-stage retrieval and re-ranking architectures
• Agent orchestration frameworks coordinating multiple specialized agents
• Multi-model AI integrations leveraging model-specific strengths

Design solutions with modularity, extensibility, scalability, and operational excellence to support evolving business requirements.