Pre-Sales AI Solutions Architect

Position:Pre-Sales AI Solutions Architect
Job Description:

Arrow ECS is seeking a highly skilled and versatile Pre-Sales AI Solutions Architect to design and deploy end-to-end AI workflows across multi-vendor environments. You’ll work with clients to architect and demonstrate AI use cases — such as intelligent chatbots — from infrastructure provisioning to AI model deployment. This is a hybrid role combining systems engineering, data orchestration, and AI workload expertise.

What You'll Be Doing

• Design and deploy AI demonstration environments for sales and partner engagements.
• Install and configure physical/virtual infrastructure including networking, servers, storage, and OS.
• Deploy and manage AI/ML platforms (WatsonAI, NVIDIA frameworks, HPE, NetApp AI, etc.).
• Build and demonstrate intelligent AI chatbot workflows:
  • Data source planning and ingestion
  • Model training or fine-tuning
  • Inference orchestration and front-end integration
• Collaborate with sales, product, and partner teams to scope and deliver AI demos.
• Document repeatable workflows for internal and customer use.
• Stay current with vendor AI strategies, frameworks, and hardware offerings.

What We're Looking For

• Strong experience in infrastructure engineering (networking, server setup, OS installs, storage).
• Familiarity with AI/ML tools and deployment frameworks.
• Experience with at least two of the following vendor ecosystems:
  • IBM WatsonAI or Watsonx
  • NetApp AI/ONTAP + Trident or Astra
  • NVIDIA NGC, Triton Inference Server, or CUDA stack
  • Dell AI/ML systems
  • HPE AI/ML solutions (Ezmeral, GreenLake)
• Ability to script or automate deployment workflows (Bash, PowerShell, Python, or Ansible).
• Working knowledge of containerization (Docker, Kubernetes) and hybrid cloud platforms.

Preferred Qualifications:

• Experience building chatbots or conversational AI applications.
• Understanding of data pipelines and LLM (Large Language Model) lifecycle management.
• Familiarity with vector databases, embedding models, or RAG architectures.
• Certifications from major vendors (IBM, NVIDIA, Red Hat, NetApp, etc.) a plus.
• Soft Skills:
  • Strong presentation and communication skills — ability to speak with technical and non-technical audiences.
  • Resourceful, curious, and able to prototype under tight timelines.
  • Able to work independently while aligning with broader sales strategy.

Experience/Education

Typically requires 5 - 7 years of related experience with a 4-year degree or equivalent experience.

Work Arrangement

Hybrid: 2 days in office/3 days work from home 

What’s In It for You

At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That’s why we offer competitive financial compensation, including various compensation plans, and a solid benefits package.

• Medical, Dental, Vision Insurance
• 401k, With Matching Contributions
• Generous Paid Time Off
• Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options
• Growth Opportunities
• Short-Term/Long-Term Disability Insurance
• And more!

#LI-EK1

Annual Hiring Range/Hourly Rate:$105,300.00 - $160,050.00

Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer. 

Location:US-GA-Flexential Data Center (US-ALPHA2-DC)

 

Time Type:Full time
Job Category:Sales

EEO Statement:

Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status. (Arrow EEO/AAP policy)

We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.