Gen AI Architect ( Agentic AI & LLM); Remote

Gen AI Architect (Agentic AI & LLM) (Remote) About the role

As a Gen AI Architect ( Agentic AI & LLM) you will play a key role in designing and delivering next-generation AI-powered enterprise applications. You will lead the architecture and development of scalable Generative AI solutions, leveraging Large Language Models (LLMs), Agentic AI frameworks, modern web technologies, and distributed systems.

Working across engineering, product, and business teams, you will define technical strategy, establish architectural standards, mentor engineers, and deliver innovative AI solutions that create measurable business value.

• Architect and develop enterprise-scale Generative AI applications utilizing LLMs, RAG, structured data, workflow automation, and intelligent orchestration.

• Design and implement Agentic AI solutions using Lang Graph, Lang Chain, or similar frameworks to support complex reasoning, memory management, tool integration, and human-in-the-loop workflows.

• Build scalable and fault-tolerant workflow orchestration solutions using Temporal or similar technologies.

• Define AI platform architectures covering model routing, prompt lifecycle management, observability, experimentation, governance, and production deployment.

• Establish evaluation frameworks for AI solutions, including offline testing, regression analysis, trace diagnostics, and business outcome measurement.

• Lead end-to-end product delivery, from architecture and development through deployment and operational support.

• Drive engineering best practices focused on scalability, performance, reliability, security, and maintainability.

• Mentor engineering teams and foster a culture of innovation, technical excellence, and continuous learning.

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations

• 12+ years of experience designing and delivering large-scale distributed systems, enterprise platforms, or complex software applications.

• Proven success delivering production-grade AI and LLM-powered solutions, including agentic AI systems, RAG platforms, intelligent automation, or conversational AI applications.

• Deep expertise with Generative AI technologies including OpenAI models, prompt engineering, vector databases, retrieval frameworks, and AI orchestration patterns.

• Hands-on experience with Lang Graph, Lang Chain, Auto Gen, or similar agent development frameworks.

• Strong full-stack engineering background with expertise in ReactJS, Node.js, and modern application architecture.

• Demonstrated ability to define technical strategy, influence architecture decisions, and mentor engineering teams.

• Strong software engineering fundamentals, including system design, scalability, testing, performance optimization, and code quality practices.

• Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.

• Experience building AI governance, observability, monitoring, and evaluation frameworks for enterprise environments.

• Expertise with workflow orchestration technologies such as Temporal.

• Experience implementing model experimentation, prompt versioning, and AI production rollout strategies.

• Knowledge of cloud-native…