Customer Solutions Architect – AI & Product Engineering

BeeHyv Software; McKinney (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

BeeHyv is seeking a Customer Solutions Architect – AI & Product Engineering to lead technical engagements with enterprise customers. This hands-on leadership role combines architecture, coding, AI strategy, and delivery, ensuring solutions are modern, scalable, and AI-enabled.

You will work directly with customer stakeholders to define problems, shape architecture, build prototypes, review code, and mentor engineers, while articulating trade-offs and aligning with BeeHyv's AI frameworks and

Qualifications

• 8+ years of software engineering experience with Java and enterprise app development.
• Experience designing scalable enterprise applications, distributed systems, APIs, cloud-native architectures.
• Hands-on while leading customer engagements and engineering teams.
• Experience with enterprise customers in a technical leadership role.
• Strong solution architecture and system design skills.
• Hands-on AI-enabled software development tools.
• Experience with AI-enabled applications including LLMs, RAG, intelligent agents, workflow orchestration.
• Excellent communication and stakeholder management skills.

Responsibilities

• Lead customer discovery to identify AI opportunities and modernization needs.
• Architect scalable enterprise software solutions spanning applications, data, cloud, and AI.
• Build rapid prototypes and proofs-of-concept to validate ideas.
• Remain hands-on: review code, solve production issues, mentor engineers.
• Communicate architectural trade-offs to technical and executive stakeholders.
• Lead delivery across customer engagements and ensure successful production deployment.

Skills

Java

AI-enabled development

Communication

Enterprise software

Tools

Kubernetes

Docker

AWS/Azure/GCP

Job description

BeeHyv 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 BeeHyv, 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 BeeHyv 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 BeeHyv'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 BeeHyv'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 BeeHyv's AI platforms and engineering accelerators, including our Agentic AI Framework, Genie Enterprise Knowledge Platform, Talk2API, and other reusable AI assets.
• Confidently demonstrate and position BeeHyv's AI capabilities during customer discussions, workshops, and solution presentations.
• Design enterprise AI solutions using LLMs, RAG, intelligent agents, workflow orchestration, AI evaluation, and enterprise guardrails.
• Apply AI throughout the software development lifecycle to improve engineering productivity, software quality, and delivery speed.
• Continuously identify reusable patterns, connectors, prompts, agents, evaluation techniques, and implementation approaches that strengthen BeeHyv's AI platforms.
• Work closely with BeeHyv's AI engineering teams to evolve our AI frameworks based on real customer engagements.
• Stay current with advances in AI and continuously evaluate how emerging technologies can benefit BeeHyv and our customers.

Delivery Leadership

• Lead technical execution through BeeHyv's engineering teams.
• Break complex initiatives into practical implementation plans.
• Provide technical direction throughout the delivery lifecycle.
• Remove ambiguity, mentor engineers, review designs, and maintain engineering excellence.
• Take ownership from discovery through successful production deployment.

Customer Success & Business Growth

• Support discovery workshops, architecture sessions, technical proposals, and proof‑of‑conception engagements.
• Contribute to solution estimates, Statements of Work, and technical proposals.
• Identify opportunities to expand customer engagements through AI adoption, modernization, cloud engineering, data platforms, or product development.
• Represent BeeHyv's engineering and AI capabilities with credibility and confidence.

What We're Looking For

We're looking for engineers who have embraced AI as a fundamental part of how they build software.

You should be equally comfortable discussing architecture with a CTO, designing an AI workflow on a whiteboard, building a proof‑of‑concept, reviewing Java code with engineers, debugging a production issue, or mentoring a distributed engineering team.

You should thrive in ambiguity, remain deeply hands‑on, and naturally take ownership.

Most importantly, you should understand that AI is not simply another technology stack—it is transforming how software is designed, built, tested, deployed, and operated. We are looking for someone who wants to help customers navigate that transformation.

Required Qualifications

• 8+ years of software engineering experience with strong hands‑on expertise in Java and enterprise application development.
• Experience designing and building scalable enterprise applications, distributed systems, APIs, integrations, and cloud‑native architectures.
• Demonstrated ability to remain hands‑on while leading customer engagements and engineering teams.
• Experience working directly with enterprise customers in a technical leadership, architecture, or consulting role.
• Strong solution architecture and system design skills.
• Experience building prototypes, solving complex technical problems, and contributing production‑quality code.
• Hands‑on experience using AI‑assisted software development tools as part of your daily engineering workflow.
• Experience designing or building AI‑enabled applications, or a strong understanding of modern AI application architectures including LLMs, RAG, intelligent agents, workflow orchestration, and AI evaluation.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience in product engineering services or technology consulting.
• Experience building enterprise AI applications or AI‑powered products.
• Experience with AWS, Azure, or Google Cloud Platform.
• Experience with Kubernetes, Docker, and modern DevOps practices.
• Experience supporting presales, technical workshops, and customer discovery sessions.
• Exposure to product management or product strategy.

Why Join BeeHyv

You'll work at the intersection of enterprise software engineering and applied AI, partnering with startups, high‑growth technology companies, and global enterprises to solve some of their most important engineering challenges.

You’ll influence technology strategy, architect modern software platforms, lead customer engagements, remain hands‑on with engineering, and help shape BeeHyv's AI platforms through real‑world customer implementations.

If you enjoy solving difficult problems, building software, working directly with customers, and helping define how AI is applied in enterprise software, we'd love to talk to you.