AI Business Solutions Engineer

Alliance Aviation Services • Dallas, TX

8d

About The Position

Hillwood IT is seeking a hands‑on AI Business Solutions Engineer to join our
growing in‑house IT team in Dallas, TX to execute our deliberate transition from
ad‑hoc AI experimentation to a governed, high‑value enterprise AI capability.
The AI Business Solutions Engineer is a critical, hands-on delivery role
responsible for turning real business problems into working GenAI solutions that
demonstrate measurable value.

This is not a research, advisory, or purely technical engineering role; you will
work directly with business leaders across Hillwood’s Industrial, Residential,
Commercial, and HKN Energy divisions—owning the full lifecycle from discovery
through delivery, demonstration, and adoption. Success in this role is defined
by solutions that ship, scale, and are trusted by the business.

Requirements

• Ability to design, build, and support GenAI solutions, including LLM integration, prompt engineering, structured outputs, and Retrieval‑Augmented Generation (RAG) pipelines.
• Strong business and stakeholder acumen, including discovery facilitation, solution scoping, ROI framing, and executive‑level communication.
• Ability to design and implement agent‑based and multi‑step workflows, including orchestration and execution of real business actions.
• Ability to integrate AI solutions with enterprise platforms, using Python, REST APIs, Azure services, and core business systems.
• Demonstrated ability to apply delivery discipline, including pilot gate methodology, documentation standards, quality validation, and lifecycle governance.
• Ability to collaborate cross‑functionally with business leaders, AI champions, and governance bodies to drive adoption and successful outcomes
• Proficiency in Python for LLM integration, API development, and automation scripting
• Bachelor’s degree in Computer Science, Information Systems, or related field.
• Demonstrated delivery of production-grade GenAI solutions used by real business users.
• Hands-on experience designing and building multi-step, agentic workflows using orchestration frameworks.
• Experience with at least one major LLM platform (Claude, OpenAI, Azure OpenAI, or equivalent), including prompt engineering, function calling, and structured outputs.
• Experience developing Retrieval-Augmented Generation (RAG) solutions and contextual intelligence pipelines.

Nice To Haves

• Consulting background (Big 4, boutique AI/digital consultancy, or internal innovation role with client-facing delivery ownership), strongly preferred.
• Azure platform experience, including Azure Functions, Logic Apps, Azure AI Studio, or Azure OpenAI Service, preferred.
• Experience with Power Automate or similar low-code workflow tools, preferred.
• Familiarity with real estate, property management, or financial services processes such as lease management, AP automation, or property operations, preferred.
• Experience with vector databases, document intelligence pipelines, or advanced RAG architectures, a plus.
• Exposure to enterprise data platforms and business systems such as Databricks, Power BI, JDE, Yardi, Salesforce, or SharePoint, a plus.

Responsibilities

• Conduct structured discovery sessions with division leaders and business stakeholders to identify, scope, and prioritize AI use cases.
• Translate ambiguous business problems into clearly defined GenAI solution designs with success metrics and pilot gate criteria.
• Facilitate working sessions with non-technical stakeholders, making AI approachable and practical.
• Document solution designs at a level suitable for Architecture Review Board (ARB) review and pilot approval.
• Build, iterate, and deliver production-grade GenAI solutions for approved Horizon 1 use cases.
• Design and implement agentic workflows using orchestration frameworks and multi-step agents that perform real actions.
• Integrate AI solutions with Hillwood’s existing technology stack, including Claude API, ChatGPT, Copilot, Azure Functions, Power Automate, JDE, Yardi, Salesforce, SharePoint, and Medius.
• Own solution quality, including prompt engineering, output validation, error handling, and reliability for business-critical use.
• Develop AI coding assistant support and CI/CD pipeline integrations for enterprise environments.
• Operate within Hillwood’s risk-tier governance framework, ensuring ARB review and lifecycle gates for Medium and High-risk solutions.
• Present solution demonstrations to Steering Committee members and division leadership at launch, mid-point, and scale decision gates.
• Communicate technical concepts clearly to non-technical executives, including ROI framing, risk considerations, and capability explanations.
• Prepare use case gate materials such as ROI evidence, adoption metrics, support readiness assessments, and scale or retire recommendations.
• Partner with Division AI Champions to drive adoption through training, documentation, and hands-on enablement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees