Principal AI Platform Engineer

🕒 il y a 27 jours

🏈 Alabama – Distant

🏈 Alabama – Remote

💵 $139 700 - $232 900 / an

⏰ Temps Plein

🔴 Expert

🏗️ Ingénieur Plateforme

👻 Score fantôme 4%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

M&T Bank

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1856

🛡️ Assurance

💼 Conseil

🏦 Banque

Insurance • Consulting • Banking

M&T Bank est une institution financière régionale de premier plan offrant une large gamme de services bancaires aux clients particuliers, professionnels et commerciaux. Réputée pour la satisfaction de ses clients en matière de banque mobile, M&T Bank propose des produits et services tels que des comptes courants, des cartes de crédit, des hypothèques, des prêts personnels et des assurances. De plus, elle offre des services de planification financière via Wilmington Advisors @ M&T. La banque s'engage dans l'engagement communautaire, soutenant les entreprises locales, la banque multiculturelle et le bénévolat. Avec un accent sur la cybersécurité et les solutions bancaires numériques, M&T Bank dessert sa clientèle grâce à des services en ligne et mobiles complets.

Description

• Design, develop, and support enterprise-scale GenAI solutions, including AI-assisted development, documentation, testing, analytics, and workflow automation • Lead architecture, implementation, and optimization of Retrieval-Augmented Generation (RAG) solutions, including ingestion pipelines, embeddings, vector stores, retrieval frameworks, and search capabilities • Design, review, and approve agent-based and tool-integrated AI architectures, including multi-step LLM workflows • Develop and oversee APIs, shared services, and reusable frameworks connecting AI models to internal systems, platforms, and approved third-party tools • Establish prompt engineering standards, evaluation methodologies, and testing frameworks • Drive model testing, benchmarking, evaluation, and performance analysis using approved frameworks and governance standards • Author secure, scalable, maintainable code using Java, Python, and C#, while promoting engineering excellence • Lead technical discussions with Product Managers, Architects, Engineers, and senior stakeholders to translate business objectives into enterprise-scale AI solutions • Serve as a subject matter expert for Generative AI, AI platform engineering, and responsible AI practices • Mentor and coach engineers on software engineering, AI architecture patterns, algorithms, data structures, and enterprise platform design • Contribute to technical roadmaps balancing strategic AI initiatives, platform modernization, innovation, operational excellence, and technical debt reduction • Define and champion architecture standards, design patterns, and implementation guidance for AI-enabled solutions • Apply engineering, operational, and AI performance metrics to identify process improvements and platform optimization opportunities • Lead resiliency, performance, observability, and security best practices within AI platforms and services • Drive responsible AI, model governance, security, compliance, privacy, and risk management throughout the AI development lifecycle • Participate in and present to enterprise architecture forums, engineering councils, and leadership committees • Adhere to company risk and regulatory standards, policies, controls, and Risk Appetite; escalate risk-related issues • Maintain internal control standards and implement internal/external audit and regulatory findings as applicable • Complete other related duties as assigned

🎯 Exigences

• Associate’s degree and a minimum of 9 years’ systems analysis and/or application development work experience, or Bachelor's degree and a minimum of 7 years’ systems analysis and/or application development work experience • In lieu of a degree, a combined minimum of 11 years’ education and/or relevant work experience, including a minimum of 7 years’ systems analysis and/or application development work experience • Expert proficiency in a minimum of 1 relevant programming language and advanced proficiency in a minimum of 1 additional relevant programming language • Strong foundation in software engineering principles, data structures, algorithms, and distributed system design • Hands-on experience developing production applications using Java, Python, C#, or other modern enterprise programming languages • Experience designing and integrating RESTful APIs, microservices, and API-driven architectures • Advanced knowledge of Generative AI, Large Language Models (LLMs), prompt engineering, and AI application development • Experience building and supporting AI-enabled applications within enterprise SDLC, security, compliance, and governance frameworks • Proven ability to influence technical direction, engineering standards, and architectural decisions across multiple teams • Preferred: experience implementing enterprise Generative AI solutions within financial services or other highly regulated industries • Preferred: expertise in Retrieval-Augmented Generation (RAG), embeddings, vector databases, retrieval frameworks, and semantic search technologies • Preferred: understanding of Transformer architectures, attention mechanisms, tokenization strategies, and model evaluation techniques • Preferred: experience designing AI agents, tool-integrated workflows, and advanced LLM orchestration frameworks • Preferred: expertise with Microsoft Azure, Azure AI Services, OpenAI technologies, and cloud-native AI platforms • Preferred: experience establishing enterprise AI governance, responsible AI practices, and model risk management controls • Preferred: experience leading large-scale technical initiatives, platform modernization efforts, or enterprise capability rollouts • Preferred: experience influencing senior technology and business stakeholders and driving enterprise-wide adoption of new technologies • Preferred: ability to work autonomously while leading complex technical initiatives across multiple teams • Preferred: advanced verbal and written communication skills with the ability to present complex technical concepts to executive audiences • Preferred: subject matter expertise in AI platform engineering, software architecture, and enterprise application development • Preferred: experience with CI/CD pipelines, DevOps tooling, automated testing, observability, and platform reliability engineering practices

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV