AI Embedded Business Automation Engineer

When you join Hines you will embark on a career journey fueled by vision and guided by leaders who set the standards of our industry. Our legacy is rooted in innovation and excellence earning us a spot on Fast Companys esteemed annual list of the Worlds Most Innovative Companies as well as recognition as one of U.S. News & World Reports Best Companies to Work For in 2024. Discover endless opportunities to grow and make your mark at Hines.

We are looking for an AI Embedded Business Automation Engineer to work within functional departments across the organization to uncover opportunities where AI automation and better system design can meaningfully improve business operations. This role will work directly with the business teams to understand how work happens today pinpoint manual handoffs rework delays and exception-heavy processes and then design prototype and deliver technical solutions that make day-to-day work faster smarter and more scalable.

As part of IT this role is expected to build within enterprise standards for infrastructure data integration automation information security governance and production support. The work will range from AI-enabled workflow redesign and secure data pipelines to intelligent agents system integrations and automations that are reliable enough to run in production and useful enough to become part of how teams operate. Responsibilities include but are not limited to:

• Partner directly with business stakeholders and subject matter experts to understand current workflows identify manual handoffs rework delays exception-heavy processes and other improvement opportunities and prioritize AI automation efforts based on value feasibility risk and scalability.

• Co-design AI-enabled process improvements with SMEs translating operational challenges into practical workflows that improve efficiency accuracy user experience and business capacity.

• Translate business requirements into clear technical specifications solution designs implementation plans and delivery milestones then build agentic and automation solutions end-to-end in partnership with business teams teammates and senior engineers.

• Rapidly prototype test and iterate on AI-driven automations assistants agents and workflow solutions using Python LLM APIs RAG patterns agent frameworks workflow orchestration and enterprise platforms.

• Develop and maintain integrations with enterprise systems such as SharePoint Teams Outlook ERP platforms Salesforce internal applications APIs and data sources to enable end-to-end intelligent workflows.

• Design and implement trustworthy AI solution components including prompt orchestration RAG pipelines document ingestion vector search backend services automation logic data pipelines models and secure access patterns.

• Support adoption through SME enablement practical training feedback loops and usage-based refinement so business teams actively shape and sustain the workflows being introduced.

• Embed security privacy compliance and responsible AI controls throughout the solution lifecycle including data classification least-privilege access secrets management auditability and safe data handling.

• Remain accountable for production quality by deploying monitoring troubleshooting optimizing and continuously improving AI and automation solutions with a focus on reliability performance security governance cost management and real-world usage.

• Work cross-functionally with engineering product security legal and business teams to move solutions from concept through pilot production launch adoption support and ongoing enhancement.

• Document solution architecture implementation decisions support procedures runbooks and best practices and create repeatable agent automation integration and data patterns that scale across functions while aligning with IT governance and architecture standards.

• Define success metrics and measure solution impact including cycle-time reduction quality improvements adoption reliability and unlocked business capacity.

Minimum Requirements include:

• Bachelors degree in Computer Science Engineering Information Technology Data Science Mathematics or a related field; equivalent practical experience may also be considered.

• 3 years of experience in software engineering automation engineering cloud engineering data engineering integration development or related technical roles including experience delivering AI or Generative AI solutions in a business environment.

• Experience building workflow automations APIs integrations copilots assistants or AI-enabled business applications using Microsoft Azure OpenAI ChatGPT Enterprise or comparable enterprise platforms.

• Experience supporting production systems partnering with cross-functional stakeholders and translating business needs into secure scalable technical solutions.

• Strong product judgment communication skills and delivery orientation with the ability to release useful increments quickly recognize when a more durable solution is needed and write specs docs and updates that are clear without additional explanation.

• Demonstrated ability to deliver reliable code services integrations or automations used in day-to-day business operations.

• Required coding proficiency in Python with the ability to write clean tested maintainable code and contribute effectively to shared production codebases.

• Hands-on experience applying LLMs and Generative AI to real business problems 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 leverage MCP or similar agent integration patterns and connect securely to enterprise systems APIs data sources and business applications.

• Demonstrated ability to turn business problems into technical specifications solution designs implementation plans and working software that can be explained clearly to non-technical partners.

• Working knowledge across several core enterprise engineering areas including 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 safe data practices least-privilege access auditability and responsible AI guardrails.

• Experience with Microsoft and OpenAI tools such as Azure OpenAI Service OpenAI APIs ChatGPT Enterprise Microsoft Copilot Studio Azure AI Foundry Semantic Kernel OpenAI Agent SDK Power Platform or comparable platforms.

• Familiarity with advanced agent retrieval and orchestration patterns including vector search iPaaS tools LangGraph LangChain LlamaIndex or similar frameworks is a plus.

• Familiarity with TypeScript JavaScript Go or Java is a plus.

• Experience designing AI-enabled business process automations across functions such as finance legal operations or other enterprise teams.

• Compensation: New York City - $130000 - $175900; Houston - To be determined based on experience

The successful candidate will:

• Build trust with functional SMEs by understanding their workflows in depth and turning business challenges into practical AI-enabled solutions.
• Deliver secure scalable production-ready AI and automation solutions that improve how work is performed across business functions.
• Move quickly from discovery to prototype to production while balancing speed quality governance reliability performance and cost efficiency.
• Drive measurable impact through adoption cycle-time reduction quality improvement reusable delivery patterns and additional business capacity.

At Hines we strive for excellence as a leading global real estate investment manager driven by our by our belief that real estate is fundamentally about people. Our diverse portfolio spans $93.2 billion¹ of assets across such property types as living office retail mixed-use logistics and life science projects all designed to enhance value connection and inspiration. Our strategic approach integrates local expertise with global knowledge taking calculated risks aligned with our convictions to exceed expectations and tailor solutions to our clients needs.

While our projects are renowned for enhancing cities and pioneering sustainable practices we recognize that the true driving force behind Hines success is our 5000 dedicated employees in 30 countries who draw on our 65-year history to build the world forward. This is why we prioritize investing in our people offering comprehensive training competitive compensation robust benefits and generous vacation packages. By centering our focus on the growth and wellbeing of our team we cultivate an inclusive environment where everyone including our clients can thrive.

Hines is proud to be named to Fast Companys prestigious annual list of the Worlds Most Innovative Companies for 2024. ¹Includes both the global Hines organization and RIA AUM as of December 31 2023.

We are an equal opportunity employer and support workforce diversity.

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