Amplify Intelligence
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Solutions Specialist

Consulting
Remote (US)

Deliver Amplify's productized AI work packages quickly, cleanly, and with measurable client impact—owning the last mile from scoped playbook to working solution.

About This Role

As a Solutions Specialist, you're the execution engine that turns our productized offerings into delivered client value. You own implementation—taking pre-defined work packages and delivering them on time, within budget, and with clear success metrics. This role is perfect for someone who loves checklists, clean handovers, and the satisfaction of systems that 'just work.' You'll implement using our battle-tested templates and patterns, while also improving those templates based on what you learn in the field. Think of it as the bridge between consulting and engineering—strategic enough to understand the business context, technical enough to build and ship production systems.

Mission

Deliver Amplify's productized AI work packages quickly, cleanly, and with measurable client impact—owning the last mile from scoped playbook to working solution.

Outcomes You'll Own
  • Time-to-Value: Stand up scoped packages on time and within budget, with clear baselines and success metrics
  • Reliability: Solutions that are observable, testable, and easy to run (docs, dashboards, alerts, runbooks)
  • Client Confidence: High trust through crisp communication, demos, and handovers; NPS-worthy experiences
  • Reuse & Margin: Improve our templates, prompts, and scripts so the next delivery is faster and cheaper
  • Data Exhaust: Capture net-new operational data and wire it into our analysis loops
What You'll Do
  • Implement productized packages end-to-end: configure data ingestion, build light services/APIs, connect SaaS tools/CRMs, and assemble UI surfaces where needed
  • Work AI-first: design info environments (schemas, prompts, tools) and direct AI's attention to the business intention
  • Add evaluation: prompt/agent regression tests, golden sets, and A/Bs tied to client KPIs
  • Instrument pipelines for throughput, cost, latency, and quality; create dashboards and alerts
  • Write concise docs, Looms, and handover guides; train client users and admins
  • Partner with Senior Consultants/FDEs on scope clarifications, risk lists, and change requests
  • Contribute improvements back to our internal kits (templates, prompts, connectors)
You'll Thrive If You
  • Love checklists, clean handovers, and 'it just works' outcomes
  • Can translate a playbook into working Python/JS quickly and aren't precious about refactors
  • Are comfortable in client calls, live demos, and fielding practical questions
First 90 Days
  • 30 days: Ship a scoped package in a sandbox → pilot with real data; add basic evaluation + observability
  • 60 days: Deliver two client implementations on time; reduce support tickets via docs/runbooks
  • 90 days: Contribute a meaningful improvement to a shared template (e.g., better eval harness, connector, prompt pack) and mentor a new hire on our delivery flow
Example Projects
  • Support Copilot: triage + draft replies with human-in-the-loop review and CRM updates
  • Invoice/OCR Flow: document intake → extraction → validation → ERP posting with exception queue
  • Sales Ops Automations: lead enrichment → routing → outreach sequences → CRM hygiene loop
  • Agent Evaluation Pack: golden datasets, structured output checks, and drift alarms
Responsibilities
  • Implement productized packages end-to-end: configure data ingestion, build light services/APIs, connect SaaS tools/CRMs, and assemble UI surfaces where needed
  • Work AI-first: design info environments (schemas, prompts, tools) and direct AI's attention to the business intention
  • Add evaluation: prompt/agent regression tests, golden sets, and A/Bs tied to client KPIs
  • Instrument pipelines for throughput, cost, latency, and quality; create dashboards and alerts
  • Write concise docs, Looms, and handover guides; train client users and admins
  • Partner with Senior Consultants/FDEs on scope clarifications, risk lists, and change requests
  • Contribute improvements back to our internal kits (templates, prompts, connectors)
Requirements
  • 1–3 years in technical delivery (implementation, solutions, data, ops) or equivalent projects
  • Strongly preferred: ability to program in Python and/or JavaScript (TypeScript welcome)
  • Comfortable with APIs/webhooks, SQL, JSON, and a major cloud (AWS/GCP/Azure)
  • Familiarity with LLM patterns (prompting, tools/function calling, embeddings/RAG) and front-end basics (React or similar) is a plus
  • Bonus: n8n/Temporal/Airflow, OCR/PDF tooling, CRM/ERP integrations, basic security & secrets hygiene

Ready to Apply?

Join our team and help us transform how businesses leverage AI.