Agent AI Architect
Job in
New York City, Richmond County, New York, USA
Listed on 2026-08-31
Listing for:
Apolis
Full Time
position Listed on 2026-08-31
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Python, Backend Developer, Cloud Engineer - Software
Job Description & How to Apply Below
Agent AI Architect
Bill rate: ***/hr Role is remote Years of experience required: 7+ Mandatory skills:
Agentic AI, Python, Lang chain, LLM integration
Role
Summary:
A Senior Forward Deployed Engineer works directly with customers to design, build, and deploy AI-powered automation solutions in real customer environments. Unlike traditional product engineers who build a platform for all customers, FDEs deliver tailored solutions for specific customer business processes and enterprise systems.
Key Responsibilities:
- Design and build AI-driven workflows, agents, and automations using the UiPath platform.
- Develop AI Agents using UiPath Maestro and Agent Builder.
- Translate business requirements into scalable automation and AI solutions.
- Extend platform functionality using APIs, SDKs, connectors, and integrations.
- Debug and resolve issues across orchestration, AI inference, integrations, and data pipelines.
- Drive customer implementations from design through production deployment.
- Identify risks, communicate blockers, and ensure successful project delivery.
- Contribute reusable components, implementation frameworks, and best practices.
- Partner with Product, Engineering, Sales, and Customer Success teams.
- Mentor engineers and help improve technical standards.
Required Skills:
- 5+ years of software engineering experience.
- Strong coding skills in:
Python, Type Script (or similar modern programming languages). - Experience building APIs and integrations.
- Cloud platform experience.
- Knowledge of enterprise systems and automation platforms.
- Strong customer-facing communication skills.
- Ability to independently manage technical work streams and customer engagements.
- Experience in solution design and troubleshooting complex systems.
Preferred
Skills:
- Applied AI and Machine Learning experience.
- Prompt Engineering.
- LLM experience (OpenAI, Anthropic, Gemini, etc.).
- Agentic AI and multi-agent architectures.
- Distributed systems and orchestration frameworks.
- RPA and automation technology experience.
- Master's degree or PhD in Computer Science or related fields (preferred).
Typical Interview Areas:
- Coding Round:
Python / Type Script, Data structures & algorithms, APIs and integrations, Problem solving. - Design Round:
System design, Agentic AI architecture, Enterprise integration patterns, Scalability, reliability, and security, Customer use-case design and solutioning.
Resume Keywords to Include:
- Agentic AI
- UiPath Maestro
- Agent Builder
- Python
- Type Script
- Prompt Engineering
- LLM Integration
- REST APIs
- Enterprise Integrations
- Cloud Platforms (Azure/AWS/GCP)
- Automation Solutions
- Customer-Facing Delivery
- Solution Architecture
- Production Deployment
- AI Workflows
- Multi-Agent Systems
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