Architect

Role Overview

We are seeking a Senior AI Architect & Java Platform Lead to serve as the technical and strategic AI champion for our organization. This is a highly hands‑on role for an engineer who began their career as a strong Java developer and has since evolved into an AI architect, delivering production AI systems inside enterprise software environments.

This is not an experimental or research‑only role. The successful candidate will bring commercial experience architecting, building, and deploying AI solutions that are actively used by customers, and will be responsible for accelerating AI adoption across a mature ERP and manufacturing software platform.

You will operate at the intersection of AI strategy, software architecture, and hands‑on development, acting as the internal authority on how AI should be designed, integrated, governed, and scaled within our products.

What You’ll Do

• Serve as the go‑to AI strategist and architect for the engineering organization
• Identify high‑impact AI use cases across ERP, manufacturing, scheduling, planning, and operational workflows
• Architect and implement production‑ready AI capabilities that integrate cleanly into existing Java‑based systems
• Lead the end‑to‑end AI feature lifecycle, including:
• Solution architecture and design
• Model and tooling selection
• Performance tuning and scalability
• Security, governance, and long‑term maintainability
• Design and implement LLM‑based systems, including:
• Prompt engineering strategies
• Retrieval‑Augmented Generation (RAG)
• Context management and hallucination mitigation
• AI reasoning workflows (not just text generation)
• Build and deploy AI solutions using Python‑based ML stacks alongside Java and .NET components
• Collaborate closely with Product Management and Engineering leadership to shape the AI roadmap
• Mentor and enable engineers on AI tools, patterns, and best practices
• Ensure responsible AI adoption, including ethics, safety, governance, and compliance

Required Technical Experience (Non‑Negotiable)

Software Engineering Foundation

• 8–12 years of professional Java development experience
• Strong experience with enterprise‑grade applications (not just APIs or greenfield services)
• Java Swing UI and Java RMI experience (must have) – including maintaining or evolving legacy desktop or thick‑client systems
• Experience writing clean, modular, scalable, production‑quality code
• Strong understanding of SDLC, version control (Git), and CI/CD

AI & Machine Learning (Commercial Experience Required)

• Hands‑on, real‑world experience architecting and delivering AI solutions for a company
• (No hobby projects, courses, or self‑learning only)
• Strong Python skills (required), including:
• NumPy
• Pandas
• PyTorch and/or TensorFlow
• Experience building or integrating:
• Machine learning models
• LLM‑based systems
• AI‑driven services used in production
• Experience with AI performance tuning, scalability, and reliability

LLM & Generative AI Expertise

• Prompt engineering with an understanding of:
• Context windows
• Model limitations and hallucinations
• Designing and implementing RAG systems
• Using LLMs as reasoning engines, not just chat interfaces
• Familiarity with AI‑assisted development tools (e.g., Claude, GitHub Copilot, similar) in a commercial setting

Systems & Infrastructure

• API design and integration
• Experience working with SQL and NoSQL databases
• Cloud deployment experience (AWS, Azure, or GCP)
• Understanding of deployment pipelines and production AI operations

What Makes You Successful in This Role

• You think like an architect and product owner, not just a developer
• You can connect business problems to AI solutions
• You understand how AI fits into existing enterprise workflows
• You stay current on emerging models, tools, and architectures
• You are comfortable being the technical authority on AI decisions
• You balance innovation with practicality, governance, and maintainability

This role is paying between 125-170k annually. Actual compensation depends on experience and other factors.