Software Solutions Architect

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Design, construct, and deploy agentic AI solutions, tools, and applications for the NVIS delivery organization.

• Create LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central.

• Convert field, delivery, operations, and product requirements into precise technical builds, agent workflows, and functional software.

• Develop agents that can reason through project data, knowledge bases, operational systems, logs, reports, and delivery workflows.

• Establish workflows to identify risks, summarize project statuses, automate repetitive tasks, enhance readiness visibility, and streamline handoffs.

• Utilize engineering principles, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to create dependable AI systems.

• Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows.

• Work alongside software developers, architects, product managers, DevOps/SRE, and NVIS field teams to deliver reliable and scalable solutions.

• Contribute to engineering standards that encompass code quality, testing, CI/CD, observability, documentation, security, and production support.

⛳️ Requirements

• B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical discipline.

• Over 5 years of practical software development experience creating production applications, platforms, automation tools, or AI-focused systems.

• Proficient programming experience with Python and modern backend development.

• Practical experience with LLMs, agentic workflows, timely composition, tool/function calling, RAG, and AI application development.

• Proven experience in crafting and implementing RESTful APIs, data services, workflow automation, and integrations with enterprise systems.

• Experience in developing reliable software around non-deterministic AI systems, covering testing, evaluation, monitoring, and failure handling.

• Familiarity with Docker, Kubernetes, CI/CD, Git, observability, and cloud-native development methodologies.

• Knowledge of SQL and NoSQL databases, data modeling, querying, indexing, and data integration.

• Exceptional problem-solving abilities, a sense of ownership, and the capability to function in a fast-paced, cross-functional environment.

🏝️ Benefits

• Equity

• Benefits