Senior Forward Deployed Engineer owning client accounts and delivering production AI solutions. Caylent helps organizations modernize technology and build intelligent products with AWS and Anthropic Claude.
Responsibilities
Own the full client relationship from discovery through close
Make architecture and build decisions appropriate to client environments and constraints
Run discovery, architecture reviews, and stakeholder interviews independently
Translate ambiguous problems into scoped, deliverable work
Identify and manage scope creep and surface risks early
Identify and surface expansion opportunities
Transfer lasting capability through documented, runnable, maintainable software or automations
Contribute patterns, templates, and reusable components back to the practice after every engagement
Scope, architect, build, and close production-grade AI engagements
Run technical or operational AI delivery engagements, depending on specialization
Requirements
5+ years of engineering or technical delivery experience with meaningful time in embedded or client-facing contexts
Proven solo account delivery: evidence you've owned a client relationship from kickoff through close without supervision
Hands-on depth in one or more of: LLM application development, cloud-native architecture (AWS preferred), backend systems at scale, or enterprise business automation
Demonstrated ability to make independent technical decisions and manage your own delivery quality inside client environments
Strong communicator: technically precise with engineers, clear and confident with VP-level leadership; adjusts depth without losing accuracy
High tolerance for ambiguity; consistently delivers value before all requirements are defined
Current legal authorization to work in Canada; Caylent is unable to provide visa sponsorship
Preferred: experience building production AI systems, including RAG pipelines, agents, fine-tuned models, or LLM-native applications
Preferred: hands-on experience with Claude, AWS Bedrock, or equivalent, including model parameters, prompt architecture, and tool use
Preferred: background in consulting, systems integration, or professional services
Preferred: familiarity with SOW-based delivery and scope management
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