2 months ago
Houston, TX, USA or New York, NY, USAMid Level
Base Salary
$130k - $176k/yr
Responsibilities
- Partner with business stakeholders and subject matter experts to identify, prioritize, and redesign manual or exception-heavy workflows.
- Translate business needs into technical specifications, solution designs, implementation plans, and delivery milestones.
- Build, prototype, test, deploy, monitor, troubleshoot, and continuously improve AI agents, assistants, workflow automations, integrations, and business applications.
- Develop secure integrations with enterprise systems, APIs, data sources, and business applications.
- Implement prompt orchestration, RAG pipelines, document ingestion, vector search, backend services, automation logic, data pipelines, models, and secure access patterns.
- Support adoption through SME enablement, training, feedback loops, and usage-based refinement.
- Embed security, privacy, compliance, responsible AI, data classification, least-privilege access, secrets management, auditability, and safe data handling.
- Document architectures, implementation decisions, support procedures, runbooks, and reusable delivery patterns.
- Define and measure outcomes including cycle-time reduction, quality, adoption, reliability, and business capacity.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, Mathematics, or a related field, or equivalent practical experience.
- At least 3 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, workflow automations, APIs, integrations, copilots, assistants, or AI-enabled business applications in a business environment.
- Required proficiency in Python with the ability to write clean, tested, maintainable production code.
- Hands-on experience with LLMs, prompt engineering, LLM APIs, retrieval-augmented generation, AI-enabled workflows, assistants, or agents.
- Experience using AI-assisted development tools and building tool-using workflows or custom agents with MCP or similar integration patterns.
- Experience supporting production systems, collaborating with cross-functional stakeholders, and translating business needs into secure, scalable technical solutions.
- Working knowledge of cloud infrastructure, data engineering, SQL, pipelines, integration patterns, automation tooling, IAM, APIs, and enterprise application development.
- Familiarity with authentication, authorization, encryption, secrets management, safe data practices, least-privilege access, auditability, and responsible AI guardrails.
- Experience with Microsoft and OpenAI platforms such as Azure OpenAI Service, OpenAI APIs, ChatGPT Enterprise, Microsoft Copilot Studio, Azure AI Foundry, Semantic Kernel, OpenAI Agent SDK, and Power Platform.
- Familiarity with vector search, iPaaS tools, LangGraph, LangChain, LlamaIndex, or similar agent, retrieval, and orchestration frameworks is preferred.
- Familiarity with TypeScript, JavaScript, Go, or Java is preferred.
- Strong product judgment, communication, delivery, documentation, and stakeholder-partnership skills.
- Experience designing AI-enabled business process automations for finance, legal, operations, or other enterprise functions is preferred.
Benefits
- The posting states that Hines offers comprehensive training, robust benefits, generous vacation packages, competitive compensation, and an inclusive environment.
- The role is based in New York City or Houston; Houston compensation is to be determined based on experience.