Forward Deployed Engineer
New
C
CaylentCloud Services
CanadaFull-TimeSenior
Salary175000 - 195000 CAD per year
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Job Details
- Experience
- 8+ years
- Required Skills
- AWSArtificial IntelligenceDevOpsPrompt Engineering
Requirements
- 8+ years of software development or technical architecture experience across varied stacks, including hyperscaler environments
- 3+ years in engineering leadership, technical consulting, solutions architecture, or a combination
- Demonstrated ability to engage across lines of business
- Experience designing or advising on AI operating models, technology adoption strategies, or digital transformation programs
- Hands-on familiarity with Claude Code or equivalent AI-assisted development tools
- Certified Claude Architect
- Experience running structured stakeholder interviews, discovery sessions, and facilitated workshops with both technical and business audiences
- Strong executive communication: writing and presenting to CTOs, VPs of Engineering, and line-of-business leaders
- Experience delivering professional services engagements, including scope management, deliverable ownership, and client advisory
- Working knowledge of CI/CD pipelines, DevOps practices, and modern software development workflows
- Experience mapping AI initiatives to business outcomes (revenue, efficiency, risk, time-to-value) with executive-level ROI framing (Preferred)
- Familiarity with PE portfolio company environments and board-level communication (Preferred)
- Background in solutions architecture, platform engineering, or enterprise technology strategy (Preferred)
- Experience with LLM prompt engineering, agentic AI workflow design, or AI product development (Preferred)
- Direct experience with Claude Code’s extensibility model (Preferred)
- Familiarity with SDLC maturity frameworks or workforce analytics (DORA, DevEx) (Preferred)
- Experience designing and facilitating workshops for mixed audiences — engineers, product managers, and business stakeholders (Preferred)
Responsibilities
- Own AI engagements end-to-end as the strategic lead, from discovery through executive handoff, partnered with an FDE who drives implementation
- Run structured discovery across engineering, product, and business stakeholders to map organizational context, AI readiness, and strategic goals across lines of business
- Design AI operating models that define how the organization adopts, governs, and scales AI
- Define AI outcome maps that tie initiatives to measurable business results: efficiency gains, revenue impact, risk reduction, and time-to-value
- Lead AI maturity assessments and architect near-term and long-term adoption roadmaps aligned to Anthropic’s platform capabilities
- Facilitate executive workshops and enablement sessions for audiences ranging from engineering teams to C-suite leaders
- Deliver executive presentations to CTOs, VPs of Engineering, and line-of-business leaders covering current-state findings, ROI projections, and strategic recommendations
- Direct FDE work on Claude Code tooling, prompt architecture, and workflow automation
- Identify expansion opportunities across lines of business
- Build executive relationships that position Caylent as a long-term AI strategy partner
- Attend on-site for the final Catalyst block: readout, workshop, and executive presentation
- Contribute reusable strategy frameworks, delivery artifacts, and methodology improvements back into the practice at engagement close
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