AI Architect - Remote

Nava Software Solutions LLC; Houston (TX); Remote; USD 180,000 - 240,000; Full time

Job summary

NAVA Software is seeking an AI Architect to lead the design and deployment of agentic AI in a cloud-native environment. This remote role collaborates with engineers, product owners, and security teams to deliver enterprise-grade solutions.

Responsibilities include building scalable AI systems with Kubernetes and Docker, integrating LangChain/LLM tooling, Azure OpenAI, RAG pipelines, and securing the architecture in regulated contexts. Mentoring peers is expected.

Qualifications

• 10+ years of software engineering experience, with 5+ years in enterprise architecture.
• Design enterprise-grade architectures spanning data, integration, security, and AI-native capabilities.
• Deep knowledge of AI-assisted development, agentic coding workflows, and planning methods.
• Translate ambiguous requirements into architecture decisions and lead reviews.
• Secure-by-design principles, threat modeling, and software supply chain risk in regulated environments.
• Mentor Solution/Enterprise Architects and senior engineers.
• Drive architectural consensus across cross-functional groups.
• Evaluate emerging AI tools critically for durable improvements.
• Independent, detail-oriented thinker with sound judgment.
• Own architectural decisions and outcomes; reliable across multiple initiatives.
• Strong Python/C#/Java skills; Python preferred for AI work.
• Hands-on experience with Kubernetes and Docker; Azure deployments.
• Experience building agentic AI apps with LLM orchestration tools.
• Experience with RAG pipelines, vector databases, and prompt engineering.
• Knowledge of CI/CD, Git, and infrastructure-as-code (Terraform, Bicep, ARM).
• Strong communication and ability to work independently in a remote setting.

Responsibilities

• Design, develop, and deploy production-grade software and AI-driven apps in a cloud-native environment.
• Build and orchestrate agentic AI systems with multi-step agents and retrieval-augmented generation.
• Containerize apps with Docker and deploy on Kubernetes (AKS).
• Architect scalable, secure Azure solutions using Azure OpenAI, AI Foundry, Functions, and DevOps.
• Integrate LLM-based agents with internal APIs, data sources, and workflows.
• Implement evaluation, monitoring, guardrails, and observability for AI agents in production.
• Collaborate with architects, data engineers, product owners, and stakeholders in Agile.
• Contribute to code reviews, technical design, and engineering best practices; mentor others.

Skills

Enterprise Architecture

AI-enabled development

Mentoring

Remote collaboration

Solution architecture

Python/C#/Java

Education

Bachelor's degree in Computer Science or Engineering

Tools

Kubernetes

Docker

Azure

LangChain

LangGraph

Semantic Kernel

AutoGen

Terraform

Git

Job description

NAVA Software is looking for an AI Architect - Agentic AI

Details:

AI Architect - Agentic AI

Location: Remote

Duration: 12+ months

Key Responsibilities

• Design, develop, and deploy production-grade software and AI-driven applications in a cloud-native environment.
• Build and orchestrate agentic AI systems, including multi-step agents, tool and function calling, and retrieval-augmented generation (RAG). These systems should be able to reason, plan, and act across enterprise systems.
• Containerize applications with Docker and deploy and manage them on Kubernetes (AKS).
• Architect scalable, secure solutions on Microsoft Azure, using services such as Azure OpenAI / AI Foundry, Azure Functions, and Azure DevOps.
• Integrate LLM-based agents with internal APIs, data sources, and business workflows.
• Put evaluation, monitoring, guardrails, and observability in place for AI agents running in production.
• Work with architects, data engineers, product owners, and business stakeholders in an Agile environment.
• Contribute to code reviews, technical design, and engineering best practices. Mentor less experienced engineers.

Required Qualifications

• 10+ years of relevant software engineering experience, including 5+ years in a solution or enterprise architecture role. Experience architecting AI-enabled or AI-native development processes preferred. Cloud-native solution architecture experience preferred.
• Demonstrated ability to design and communicate enterprise-grade solution architectures spanning data, integration, security, and AI-native capabilities.
• Deep working knowledge of AI-assisted software development practices, including agentic coding workflows, context management, and human-AI collaborative planning methods.
• Ability to translate ambiguous business and customer requirements into concrete, testable architecture decisions, and to lead structured, adversarial requirements review to surface gaps before build.
• Strong understanding of secure-by-design principles, threat modeling, and software supply chain risk, with the ability to apply them within a regulated (CMMC / NIST SP 800-171) environment.
• Ability to mentor and elevate the technical judgment of Solution Architects, Enterprise Architects, and senior engineers across the organization.
• Skilled at driving architectural consensus across cross-functional groups, including engineering, product, security, and executive sponsors.
• Ability to evaluate emerging AI development tools and practices critically, distinguishing durable architectural improvement from short-term convenience.
• Ability to demonstrate independent, objective, open-minded thinking with strong attention to detail and sound judgment.
• Must take responsibility for architectural decisions, their rationale, and their downstream consequences.
• Must be dependable, highly reliable, and follow through on commitments across multiple concurrent initiatives.
• Strong skills in at least one modern language, such as Python, C#/.NET, or Java. Python is preferred for AI work.
• Hands-on production experience with Kubernetes and Docker.
• Solid experience building and deploying solutions on Microsoft Azure.
• Demonstrated experience building agentic AI applications. This includes LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar, as well as tool use, memory, and multi-agent patterns.
• Experience with RAG pipelines, vector databases, and prompt engineering.
• Working knowledge of CI/CD pipelines, Git, and infrastructure-as-code (Terraform, Bicep, or ARM).
• Strong communication skills and the ability to work independently in a remote setting.

Preferred Qualifications

• Experience with Azure OpenAI Service, Azure AI Foundry, or Azure AI Search.
• Background in maritime, offshore, energy, or other engineering-driven or regulated industries.
• Familiarity with MLOps/LLMOps practices and with AI evaluation and safety frameworks.
• Relevant certifications, such as Azure Developer (AZ-204), Azure AI Engineer (AI-102), or CKA/CKAD.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.