AI Solutions Architect

AI Solutions Architect

Location: Cincinnati, OH (Local Preferred; Open to Strong Remote Candidates) Duration: Contract through February 2027 (fiscal year ends/begins), with a high likelihood of extension/conversion

Our client is expanding its AI capabilities and seeking a Forward Deployed Engineer who combines the mindset of an AI Solutions Architect with the hands-on ability to design, build, and deploy production-grade AI systems. This role will align with one of two high-impact teams based on experience and business needs:

What You'll Do

• AI Solution Architecture & Delivery: Architect, design, and deploy AI-powered applications across enterprise and customer-facing platforms.
• Build and deliver production-grade solutions leveraging: Large Language Models (LLMs) Agent-based systems Retrieval-Augmented Generation (RAG) Workflow orchestration and automation Decisioning and task-execution agents
• Rapidly prototype, validate, and scale AI solutions from concept through production.
• Embed AI capabilities into existing systems through APIs, microservices, and cloud-native architectures.
• Develop scalable AI services and integrations that support enterprise-wide adoption.
• Design human-in-the-loop workflows for high-impact AI use cases.
• Collaborate closely with cross-functional stakeholders to solve ambiguous business problems.

Required Qualifications

• 7+ years of experience in Software Engineering, Solution Architecture, AI/ML Engineering, or related disciplines.
• Proven experience building and deploying production-grade AI applications.
• Hands-on experience integrating Large Language Models into real-world business solutions.
• Strong experience with: Prompt engineering and evaluation API-driven architectures Microservices development Distributed systems
• Experience designing and deploying: Retrieval-Augmented Generation (RAG) solutions Agent-based AI systems Workflow orchestration platforms
• Strong backend engineering experience with: Python (FastAPI or similar) Node.js
• Experience integrating frontend applications (React preferred).
• Cloud platform experience, preferably Microsoft Azure.
• Ability to thrive in fast-paced, agile environments with evolving priorities.
• Strong communication skills and the ability to partner directly with business stakeholders.

Preferred Qualifications

• Experience with experimentation and optimization platforms.
• Familiarity with: A/B testing frameworks Personalization platforms Multi-armed bandit approaches
• Experience with LLM orchestration frameworks such as: LangChain LangGraph
• Experience with event-driven and asynchronous architectures.
• Knowledge of AI observability, including: Latency monitoring Cost tracking Token utilization analysis
• Familiarity with AI governance, safety, and risk management practices.
• Exposure to large-scale analytics and cloud data platforms.
• Platform & DevOps experience