AI Commercial Solutions Architect

Amphenol and its Affiliated Companies

17d

About The Position

You will be the in-house AI leader for commercial operations - translating business needs into practical, secure, measurable AI solutions. This is a hands-on builder role: you will prototype quickly, integrate with existing tools (CRM/ERP/email/web), and operationalize what works through change management, documentation, training, and governance.
What success looks like (first 90 days)
Map end-to-end commercial workflows (lead-to-order, order-to-cash touchpoints, customer support intake-to-resolution) and quantify top 10 time/cost frictions.
Deliver 2-3 production pilots with measurable outcomes (e.g., faster quote turnaround, higher
lead-to-meeting conversion, reduced support backlog).
Establish an AI usage policy (data handling, approvals, prompt hygiene, human-in-the-loop), plus a simple ROI tracker and backlog process.
Enable the team: training sessions, playbooks, and templates so AI becomes a repeatable capability - not a one-off project.

Requirements

• 5+ years in a role bridging business and technology (commercial ops, RevOps, sales enablement, product ops, digital transformation, or similar).
• Hands-on experience delivering AI/automation solutions into real workflows (not just research or dashboards).
• Comfortable with modern LLM tools and concepts: prompt engineering, function calling/tools, retrieval-augmented generation (RAG), evaluation, and guardrails.
• Strong process mindset: can map workflows, define requirements, and measure outcomes (cycle time, conversion, CSAT, cost-to-serve).
• Working knowledge of data handling: CSV/SQL basics, data quality, and how to connect systems via APIs/webhooks.
• Excellent communication: can translate technical choices into business value and train non-technical teams.

Nice To Haves

• Bachelor's in Engineering, Computer Science, Data Science, or equivalent experience (MBA/Commercial background welcomed when paired with hands-on delivery).
• Experience with one or more: CRM (Salesforce/Dynamics/HubSpot), ERP (SAP/NetSuite), helpdesk (Zendesk/Freshdesk), marketing automation, or CPQ tools.
• Python proficiency for scripting and lightweight model work; SQL for analysis; familiarity with JavaScript is a plus.
• Experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI) and basic DevOps practices (Git, environments, deployment).
• Familiarity with data privacy and security concepts (PII handling, access control, logging, vendor risk review).

Responsibilities

• Discovery & prioritization: run workshops with Sales/Marketing/CS/Product to identify high-value AI opportunities; build a roadmap with effort vs impact.
• Solution design & delivery: prototype and deploy AI solutions (LLM assistants, RAG search, automation agents, analytics models) with clear acceptance criteria and KPIs.
• Customer service automation: implement AI-assisted triage, knowledge base search, ticket summarization, suggested replies, and escalation logic.
• Marketing & lead generation: build AI workflows for segmentation, outreach personalization, content drafts, account research, and lead scoring support.
• Sales enablement: create AI tools for call/meeting prep, note-to-CRM capture, proposal/quote drafting, objection handling libraries, and competitive intel briefs.
• Product & voice-of-customer: use AI to mine customer feedback, map themes, and translate insights into product requirements and roadmap inputs.
• Integration: connect AI workflows with CRM/ERP/helpdesk/email (e.g., Salesforce/Dynamics/HubSpot, SAP/NetSuite, Zendesk/Freshdesk) using APIs or automation tools.
• Governance & risk: ensure compliance with data privacy, IP, and security requirements; implement human review steps and auditability.
• Change management: train users, document workflows, create reusable prompt libraries, and continuously improve based on feedback and metrics.

Benefits

• Medical
• Dental
• Vision
• Life Insurance
• 401K

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees