AI Embedded Business Automation Engineer
Hines · New York City, NY, US ·
- Category
- Embedded
- Experience
- 3+ years
- Visa sponsorship
- Yes
- Company size
- 1000+
- Salary
- USD 130,000 – 175,900 / year
Hines · New York City, NY, US ·
Amgen · India - Hyderabad
M-Files · United States
Bristol Myers Squibb · Seattle 400 Dexter - WA
Communications & Power Industries · Plano, Texas, United States
Designs and builds AI-driven automations and workflows to streamline business operations, integrating enterprise systems with Python, LLM APIs, and RAG patterns in a real estate firm.
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 Company’s esteemed annual list of the World’s Most Innovative Companies, as well as recognition as one of U.S. News & World Report’s 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:
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.
The successful candidate will:
At Hines, we believe the built world is ultimately about people. As one of the world’s largest privately held real assets firms, we bring nearly seven decades of investment, development, and management experience to work that shapes cities and communities around the world.
Our people make that possible. Across 29 countries, more than 4,600 colleagues bring different perspectives and expertise to Hines, with opportunities to take on meaningful responsibility, learn from leaders across the business, and build a career with room to evolve. We support that journey through professional development, competitive rewards, comprehensive benefits, and a culture grounded in trust and high standards.
Hines is proud to be named to Fast Company’s annual list of the World’s Most Innovative Companies for 2024.
We are an equal opportunity employer and support workforce diversity.
No calls or emails from third parties at this time please.
Amgen · India - Hyderabad