artificial intelligence (AI) consultant

Job Description WHAT IS THE OPPORTUNITY? Be the organization's foremost practitioner and technical authority on AI platform engineering. As an AI Engineer, you'll design systems that enable teams across the organization to move at speed and solve the most complex technical challenges at the intersection of AI, infrastructure, and security. In this role, you will work hands-on to build the API platforms and infrastructure that scale AI beyond proof-of-concept into production at enterprise scaleWHAT WILL YOU DO? Create AI platform architecture, owning infrastructure design, component composition, and platform evolutionAPI gateway design, LLM access patterns, model serving infrastructure, and integration frameworksBuild, and own the enterprise AI API layer including internal APIs and SDKs providing standardized, secure access to AI capabilities across the organizationBuild on the established API design standards, versioning policies, and deprecation protocols ensuring the platform's interfaces are reliable, developer-friendly, and maintainableCreate integration of external AI services, including Anthropic Claude API and other LLM providers, ensuring connectivity is secure, governed, and operationally robustDesign API gateway and rate-limiting framework for LLM access, balancing cost controls, fairness, and service reliability under variable loadSet and uphold technical standards for AI platform engineering by establishing coding standards, design principles, testing requirements, and documentation expectationsDevelop technical guides, engineering playbooks, and reference implementations that give development teamsclear starting point for common AI patternsWHAT DO YOU NEED TO SUCCEED? Must have: 8+ years software or platform engineering experience, with at leastyears focused on AI/ML infrastructure, API platform engineering, or large-scale distributed systemsDemonstrated track record designing and delivering enterprise-grade AI platforms with direct, hands-on engineering contribution at the most complex levelsDeep expertise in LLM API integration and production deployment (Anthropic Claude, OpenAI, Azure OpenAI, or equivalent at enterprise scale)Strong proficiency in API design and gateway engineering including RESTful patterns, authentication/authorization frameworks (OAuth2, JWT), rate limiting, and observabilityHands-on experience with vector databases and RAG pipeline architecture (Pinecone, Weaviate, pgvector, Chroma, or equivalent)Nice-to-have: Experience operating in regulated industries (financial services, healthcare) with familiarity of compliance and security constraints for AI infrastructureHands-on experience implementing AI security controls including prompt injection mitigation, output filtering, and PII detectionFamiliarity with AI governance frameworks and responsible AI engineering practices including model audit logging and fairness monitoringExperience with MLOps platforms and model serving infrastructure (Azure ML, AWS SageMaker, Databricks, MLflow, BentoML, or equivalent)Contributions to open-source AI/platform engineering projects or technical publications at recognized forumsWhat's in it for you?We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, makingdifference to our communities, and achieving success that is mutual.A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicableLeaders who support your development through coaching and managing opportunitiesAbility to makedifference and lasting impactWork indynamic, collaborative, progressive, and high-performing teamA world-class training program in financial servicesFlexible work/life balance optionsOpportunities to do challenging work#LI-POST#TechPJJob SkillsBig Data Management, Data