Jobs at Caylent

The Senior Forward Deployed Engineer manages client relationships, architecting, building, and closing deals while ensuring autonomous delivery of AI solutions. Responsibilities include discovery, architecture reviews, and capability transfer to clients, requiring significant engineering and client-facing experience.

Build and deploy production-grade AI applications, automations, and cloud-native systems within client environments. Own assigned workstreams, contribute to discovery and architecture sessions, translate ambiguous problems into deliverables, surface risks, and transfer durable solutions to clients. The role involves collaboration with engineers and business stakeholders, rapid prototyping, documentation, reusable practice artifacts, and potential progression toward independent account ownership.

Design and implement enterprise contact center transformations using Amazon Connect, generative AI (Bedrock/Claude), serverless backends, and full-stack React tooling. Build contact flows, AI agents, CDK infrastructure, observability, CI/CD and migration solutions; collaborate with customers, mentor engineers, and ensure production reliability, security, and accessibility.

Owns architecture and delivery of high-performance frontend applications on AWS, from customer discovery through launch. Designs browser, edge, and API layers using React, Next.js, GraphQL, AppSync, CloudFront, WAF, and Terraform. Leads technical discovery, documents architecture, guides delivery ceremonies, reviews code and designs, mentors engineers, evaluates emerging AI technologies, and partners with design, backend, DevOps, project management, and customer stakeholders.

Lead the product workstream in client engagements to assess current PDLC, design future-state AI-native product development, coach PMs, scope and write executable specs for prototypes and MVPs, shape agentic product tooling, and feed field learnings back into methodology and pre-sales.

Lead AI strategy and architecture engagements, design AI operating models, and facilitate executive communication while ensuring successful implementation with a Forward Deployed Engineer.

The AI/ML Engineering Manager leads ML engineering teams, manages client engagements, shapes architecture, ensures technical quality, and drives business growth through ML operations.