AI Solutions Architect

Duration: Contract through February 2027 (fiscal year ends/begins), with a high likelihood of extension/conversion Send Profiles to sandra@isoft-services.com 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. Personalization, Experimentation & Decisioning

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