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Customer Solutions Architect – AI & Product Engineering

Job in McKinney, Collin County, Texas, 75069, USA
Listing for: BeeHyv Software
Full Time position
Listed on 2026-08-22
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Bee Hyv is a product engineering and AI company that helps enterprises and high-growth technology companies build, modernize, and scale software products. For nearly two decades, we've partnered with startups, unicorns, and Fortune 500 companies to solve complex engineering challenges across enterprise software, cloud platforms, data engineering, and digital transformation.

Today, AI is fundamentally changing how software is built and how businesses operate. At Bee Hyv, we've invested heavily in enterprise-ready AI platforms, agentic AI frameworks, and reusable engineering accelerators that enable our customers to modernize legacy systems, accelerate product development, automate business processes, and build intelligent software solutions.

About the Role

We are looking for a Customer Solutions Architect – AI & Product Engineering to serve as the technical face of Bee Hyv for our customers.

This is not a traditional Solutions Architect, Technical Lead, or Presales Engineer role. It is a hands-on engineering leadership role for someone who enjoys solving complex customer problems while remaining deeply involved in architecture, coding, AI, and delivery.

You will work directly with customer stakeholders to understand their business challenges, product vision, engineering landscape, and technology strategy. You'll transform ambiguous problems into practical solutions, architect modern software systems, and evaluate every customer engagement through an AI lens.

Email:
You'll help customers answer questions such as:

  • How can AI improve our products?
  • Which engineering workflows can be accelerated using AI?
  • Can intelligent agents automate parts of our business?
  • How can we modernize our platform while making it AI-ready?
  • How can Bee Hyv's AI frameworks accelerate our implementation?

You’ll remain hands‑on throughout the engagement—building prototypes, reviewing code, solving difficult technical problems, mentoring engineers, and guiding delivery through Bee Hyv's engineering teams.

Why This Role Matters

The software industry is entering an AI-first era.

Customers no longer need partners who can simply build software. They need partners who can help them understand where AI creates real business value, distinguish genuine opportunities from hype, and successfully deploy AI into production.

This role sits at the intersection of Customer Engagement, Product Engineering, AI Strategy, Enterprise Architecture, Hands‑on Software Engineering, and Delivery Leadership.

Every customer engagement should leave the customer with not only better software, but a clearer AI strategy.

Key Responsibilities Customer Discovery & AI Opportunity Identification
  • Work directly with customer engineering leaders, product managers, architects, and business stakeholders to understand business goals, workflows, technical landscape, and operational challenges.
  • Discover the real problem behind the stated requirement rather than simply gathering requirements.
  • Evaluate every engagement through an AI lens, identifying opportunities where AI, intelligent automation, or agentic workflows can create measurable business value.
  • Analyze applications, APIs, integrations, and data flows to identify modernization opportunities.
  • Build trusted relationships with customers and become their technical advisor.
Solution Architecture & Hands‑on Engineering
  • Architect scalable enterprise software solutions spanning applications, integrations, cloud platforms, APIs, data engineering, and AI‑enabled systems.
  • Build rapid prototypes and proof‑of‑concepts to validate architecture and AI use cases.
  • Remain hands‑on by contributing code, reviewing implementations, debugging complex production issues, and mentoring engineering teams.
  • Design solutions that balance scalability, maintainability, security, delivery velocity, and business outcomes.
  • Clearly communicate architectural trade‑offs to both technical and executive stakeholders.
  • Become an expert in Bee Hyv's AI platforms and engineering accelerators, including our Agentic AI Framework, Genie Enterprise Knowledge Platform, Talk2

    API, and other reusable AI assets.
  • Confidently demonstrate and position Bee Hyv's AI capabilities during…
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