Forward Deployed Architect

Summary

Forward Deployed Architect designing production-grade agentic AI systems for enterprise customers at SoftwareOne. Leads engagements from discovery through deployment, architecting multi-step workflows, tool integrations, and scalable AI solutions with monitoring, observability, and operational readiness.

Are you passionate about designing AI systems that solve real customer challenges?

Do you enjoy working hands-on with customers to turn complex business problems into scalable, production-ready AI solutions?

Are you excited by the opportunity to shape agentic AI architectures that deliver measurable business impact?

At SoftwareOne, we help organizations unlock the value of AI, cloud, and data through practical, scalable, and outcome-focused solutions. We are looking for a Forward Deployed Architect - Agentic AI to lead the technical architecture behind production-grade AI systems deployed in real customer environments.

As a Forward Deployed Architect, you will work at the intersection of customer context, systems architecture, and applied AI. You will lead customer engagements from problem discovery through solution design, deployment, and iteration, ensuring AI solutions are technically robust, scalable, and aligned with business outcomes.

Your key responsibilities:

  • Leading customer engagements from discovery through architecture design, deployment, and continuous improvement.
  • Translating complex business challenges into practical agentic AI architectures, including multi-step workflows, tool use, and external system integrations.
  • Designing production-grade AI systems, including data flows, system boundaries, monitoring, observability, and operational readiness.
  • Defining architecture patterns and technical standards for integrating models, agents, and AI workflows into customer environments.
  • Guiding prototypes into scalable, reliable, and maintainable production solutions while balancing speed, quality, and business value.
  • Mentoring engineers and architects, sharing best practices, and raising delivery standards across AI projects.

See also

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