Abrar Admin

Amphenol Energy Technolgies

Role summary
 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)
 <ul>
<li>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.</li>
<li>Deliver 2-3 production pilots with measurable outcomes (e.g., faster quote turnaround, higher</li>
</ul>
lead-to-meeting conversion, reduced support backlog).
 <ul>
<li>Establish an AI usage policy (data handling, approvals, prompt hygiene, human-in-the-loop), plus a simple ROI tracker and backlog process.</li>
<li>Enable the team: training sessions, playbooks, and templates so AI becomes a repeatable capability -</li>
</ul>
not a one-off project.
 
Key responsibilities
 <ul>
<li>Discovery & prioritization: run workshops with Sales/Marketing/CS/Product to identify high-value AI opportunities; build a roadmap with effort vs impact.</li>
<li>Solution design & delivery: prototype and deploy AI solutions (LLM assistants, RAG search,</li>
</ul>
automation agents, analytics models) with clear acceptance criteria and KPIs.
 <ul>
<li>Customer service automation: implement AI-assisted triage, knowledge base search, ticket summarization, suggested replies, and escalation logic.</li>
<li>Marketing & lead generation: build AI workflows for segmentation, outreach personalization, content</li>
</ul>
drafts, account research, and lead scoring support.
 <ul>
<li>Sales enablement: create AI tools for call/meeting prep, note-to-CRM capture, proposal/quote drafting, objection handling libraries, and competitive intel briefs.</li>
<li>Product & voice-of-customer: use AI to mine customer feedback, map themes, and translate insights</li>
</ul>
into product requirements and roadmap inputs.
 
<ul>
<li>Integration: connect AI workflows with CRM/ERP/helpdesk/email (e.g., Salesforce/Dynamics/HubSpot, SAP/NetSuite, Zendesk/Freshdesk) using APIs or automation tools.</li>
<li>Governance & risk: ensure compliance with data privacy, IP, and security requirements; implement</li>
</ul>
human review steps and auditability.
 <ul>
<li>Change management: train users, document workflows, create reusable prompt libraries, and continuously improve based on feedback and metrics.</li>
</ul>
Required qualifications
 <ul>
<li>5+ years in a role bridging business and technology (commercial ops, RevOps, sales enablement, product ops, digital transformation, or similar).</li>
<li>Hands-on experience delivering AI/automation solutions into real workflows (not just research or</li>
</ul>
dashboards).
 <ul>
<li>Comfortable with modern LLM tools and concepts: prompt engineering, function calling/tools, retrieval-augmented generation (RAG), evaluation, and guardrails.</li>
<li>Strong process mindset: can map workflows, define requirements, and measure outcomes (cycle time,</li>
</ul>
conversion, CSAT, cost-to-serve).
 <ul>
<li>Working knowledge of data handling: CSV/SQL basics, data quality, and how to connect systems via APIs/webhooks.</li>
<li>Excellent communication: can translate technical choices into business value and train non-technical</li>
</ul>
teams.
 
Preferred qualifications
 <ul>
<li>Bachelor's in Engineering, Computer Science, Data Science, or equivalent experience (MBA/Commercial background welcomed when paired with hands-on delivery).</li>
<li>Experience with one or more: CRM (Salesforce/Dynamics/HubSpot), ERP (SAP/NetSuite), helpdesk</li>
</ul>
(Zendesk/Freshdesk), marketing automation, or CPQ tools.
 <ul>
<li>Python proficiency for scripting and lightweight model work; SQL for analysis; familiarity with JavaScript is a plus.</li>
<li>Experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI) and basic DevOps</li>
</ul>
practices (Git, environments, deployment).
 <ul>
<li>Familiarity with data privacy and security concepts (PII handling, access control, logging, vendor risk review).</li>
</ul>
Typical technical toolkit
 <ul>
<li>LLM platforms: OpenAI/ChatGPT Enterprise or Azure OpenAI (preferred for enterprise controls), Anthropic/Google (where available).</li>
<li>Automation: Power Automate, Zapier, Make, n8n; email and calendar integrations; webhooks.</li>
<li>Data: Excel/Sheets, SQL (basic), BI tools (Power BI/Tableau), Python (pandas).</li>
<li>Knowledge/RAG: document ingestion, embeddings, vector databases (Pinecone, Weaviate, FAISS) or built-in enterprise search connectors.</li>
<li>Apps: CRM/ERP/helpdesk APIs, internal portals, and lightweight web apps for assistants.</li>
</ul>
Benefits
 <ul>
<li>Medical</li>
<li>Dental</li>
<li>Vision</li>
<li>Life Insurance</li>
<li>401K</li>
</ul>

AI Commercial Solutions Architect

Join Amphenol Energy Technolgies and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Amphenol Energy Technolgies

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AI Commercial Solutions Architect