3 days ago
Houston, TX, USASenior
Responsibilities
- Partner with business leaders and functional SMEs to identify process-improvement opportunities and translate operational needs into technical requirements.
- Design, prototype, build, deploy, monitor, troubleshoot, and continuously improve AI-enabled automations, assistants, agents, workflows, and business applications.
- Develop integrations with SharePoint, Teams, Outlook, ERP platforms, Salesforce, internal applications, APIs, and enterprise data sources.
- Implement prompt orchestration, RAG pipelines, document ingestion, vector search, backend services, automation logic, data pipelines, models, and secure access patterns.
- Lead AI and data architecture decisions, define solution designs and implementation plans, and establish reusable architectural and delivery patterns.
- Embed security, privacy, compliance, responsible AI, data classification, least-privilege access, secrets management, auditability, and safe data handling throughout the solution lifecycle.
- Support adoption through training, SME enablement, feedback loops, documentation, runbooks, and usage-based refinement.
- Define and measure outcomes including cycle-time reduction, quality improvements, adoption, reliability, and increased business capacity.
- Communicate technical recommendations, risks, trade-offs, progress, decisions, and results to technical and nontechnical audiences.
- Own AI and automation initiatives from stakeholder discovery through pilot, production launch, adoption, support, and ongoing enhancement.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, Mathematics, or a related field, or equivalent practical experience.
- 5–7+ years of experience in software engineering, automation engineering, cloud engineering, data engineering, integration development, or related technical roles.
- Experience delivering AI or Generative AI solutions in a business environment and supporting production systems.
- Experience building workflow automations, APIs, integrations, copilots, assistants, or AI-enabled business applications using Microsoft, Azure, OpenAI, ChatGPT Enterprise, or comparable platforms.
- Required proficiency in Python and the ability to write clean, tested, maintainable code for shared production codebases.
- Hands-on experience with LLMs and Generative AI, including prompt engineering, LLM APIs, retrieval-augmented generation, AI-enabled workflows, prototypes, assistants, or agents.
- Experience using AI-assisted development tools and building tool-using workflows or custom agents that connect securely to enterprise systems, APIs, data sources, and business applications using MCP or similar patterns.
- Ability to independently lead AI and data architecture decisions, establish architectural standards, and own complex technical design and delivery.
- Working knowledge of cloud infrastructure, data engineering, SQL, pipelines, integration patterns, automation tooling, IAM, APIs, and enterprise application development.
- Familiarity with information security fundamentals including authentication, authorization, encryption, secrets management, least-privilege access, auditability, safe data practices, and responsible AI guardrails.
- Strong business acumen, product judgment, consultative skills, communication, and delivery orientation.
- Experience designing AI-enabled business process automations across finance, legal, operations, or other enterprise functions.
- Preferred experience with Azure OpenAI Service, OpenAI APIs, ChatGPT Enterprise, Microsoft Copilot Studio, Azure AI Foundry, Semantic Kernel, OpenAI Agent SDK, Power Platform, vector search, iPaaS tools, LangGraph, LangChain, or LlamaIndex.
- Familiarity with TypeScript, JavaScript, Go, or Java is preferred.
Benefits
- Professional development opportunities, competitive rewards, comprehensive benefits, and a culture grounded in trust and high standards are provided.
- The role supports cross-functional work across Hines’ global organization, which operates across 29 countries with more than 4,600 colleagues.
Tech Stack
Categories
About Hines
Hines is a privately held, Houston-based real estate investment, development, and property management firm serving institutional and private wealth clients. It raises and manages real estate funds, develops and operates properties across office, residential, industrial, retail, and mixed-use, and provides asset and property management services. Founded in 1957, the company operates globally and oversees over $90 billion in assets across dozens of countries.