Lead AI

The Role We are seeking a senior, hands-on engineer to design, build, and enhance AI-powered applications that solve real business challenges. You will work across software engineering, cloud technologies, and applied AI, delivering solutions from concept to production while helping establish scalable best practices that drive innovation across our technology portfolio. Required Skills & Experience
• 7+ years of software engineering experience with ownership of production systems and key technical decisions.
• Proven experience delivering AI-powered applications and features in production environments.
• Strong full-stack development skills with JavaScript/TypeScript, React, Next.js, APIs, and enterprise data integrations.
• Solid backend expertise in C#/.
NET or similar enterprise technologies, including distributed systems and integration patterns.
• Hands-on experience with Azure or other major cloud platforms, CI/CD, infrastructure as code, containers, and production monitoring.
• Knowledge of LLM-based application design, including prompt engineering, retrieval-augmented generation (RAG), model integration, evaluation, and monitoring.
• Ability to balance performance, scalability, security, user experience, and cost when making technical decisions.
• Strong problem-solving skills, ownership mindset, and ability to navigate ambiguity.
• Excellent communication skills with experience collaborating across engineering, product, and business teams Preffered Skills & Experience
• Experience with Azure OpenAI, Azure AI Services, or other enterprise-grade AI platforms and model providers.
• Hands-on experience with application monitoring, observability, distributed tracing, and AI performance evaluation.
• Knowledge of Snowflake or similar cloud data platforms and data processing architectures.
• Familiarity with design systems, accessibility standards, and collaboration with UI/UX teams.
• Experience working in enterprise or regulated environments, such as financial services, insurance, or healthcare.
• Working proficiency in Python for AI development, data processing, automation, and service integrations. Key Responsabilties
• Lead end-to-end solution delivery, from discovery and architecture through deployment, monitoring, and ongoing support.
• Design and implement AI-powered features, including LLM integrations, RAG workflows, orchestration, guardrails, and structured outputs.
• Build and maintain scalable full-stack applications, APIs, and integrations across application, AI, and data platforms.
• Develop reusable frameworks, components, deployment patterns, and engineering standards to accelerate future initiatives.
• Establish testing and evaluation frameworks to ensure software quality, AI reliability, performance, and scalability.
• Implement observability, monitoring, and troubleshooting practices across applications, integrations, and AI services.
• Embed security, compliance, identity management, and data protection best practices into solution design.
• Optimize application performance, cloud costs, AI model usage, latency, and infrastructure efficiency.
• Partner with business stakeholders and UI/UX teams to deliver intuitive solutions that improve user productivity and adoption.
• Provide technical leadership through architecture reviews, code reviews, mentoring, and cross-functional collaboration