AI Sales Solutions Architect

🕒 Abril 8

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $125.000 - $171.500 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

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CDW

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1984

🏢 Corporativo

☁️ SaaS

🔒 Cibersegurança

💰 Post-IPO Equity em 2015-07

Enterprise • SaaS • Cybersecurity

A CDW é uma provedora líder de soluções tecnológicas, oferecendo uma gama abrangente de produtos e serviços para atender às necessidades dos setores empresarial, governamental, de saúde e educação. Eles são especializados em fornecer serviços de infraestrutura de TI, serviços gerenciados e soluções de segurança. A CDW faz parcerias com as principais marcas de tecnologia para entregar soluções personalizadas que aumentam a produtividade e o desempenho dos negócios em vários setores. Com um forte foco em transformação digital, segurança e soluções em nuvem, a CDW apoia as empresas na navegação pelas complexidades dos ambientes de TI modernos. Sua expertise abrange vários domínios, incluindo espaços de trabalho digitais, cibersegurança e soluções empresariais, fazendo da CDW um parceiro chave na condução de avanços tecnológicos.

Descrição

• Facilitate design sessions with clients and the Mission Cloud team to create the strategy, architecture, and implementation plan for generative AI implementation • Design, develop, and deploy generative AI models that demonstrate high performance and efficiency in solving complex problems • Collaborate with data scientists, engineers, and domain experts to integrate generative AI solutions into existing systems or products • Contribute to or lead the development of statements of work based on solutions you have designed based on customer business outcomes and needs • Support pre-sales engineers in proposal design and positioning, including helping define an approach to solving a prospect’s technical challenges and helping the business development team estimate and plan projects • Work with the customer pre and post sales to ensure they are ready for the engagement to start, have data available, granted access to systems and have staff available • Implement and fine-tune existing generative AI algorithms and models to meet specific use-case requirements, including scalability and resource efficiency • Conduct thorough testing, accuracy evaluation and validation of generative AI solutions to ensure accuracy, reliability, and robustness • Communicate proposed solutions to clients so they understand the benefits, translating technical elements into business language • Develop strategic roadmaps and project plans based on customer business outcomes and goals • Work with Project Managers to set customer expectations, drive alignment, and coordinate timelines • Work with engineers to break down complex development plans into LOE estimates, design documents and project plans • Implement customer roadmaps in coordination with engineers; ensure project tasks are completed on time, high quality, and progress toward project goals • Explore and experiment with the latest advancements in generative AI research to improve system performance and capabilities • Stay up-to-date with the latest trends, tools, and technologies in the generative AI field • Document the implementation process, provide technical documentation, and contribute to knowledge sharing within the team • Mentor more junior team members and support DAML process improvement initiatives • Support AI Solutions recruiting efforts by participating on interview panels • Lead strategic initiatives within Mission Cloud to keep AI Solutions at the forefront of AI and AWS technologies • Contribute marketing materials for Mission Cloud in the Generative AI space

🎯 Requisitos

• Proven experience in implementing and deploying generative AI models in practical applications • Strong programming skills in languages like Python, TensorFlow, PyTorch, or similar AI frameworks • Solid understanding of deep learning architectures and generative models such as GANs, VAEs, etc • Familiarity with natural language processing (NLP) and computer vision (CV) applications in generative AI • Experience in data pre-processing, feature engineering, and data augmentation for training generative models • Proficiency in data manipulation, statistical analysis, and model evaluation techniques • Strong problem-solving and analytical skills, with the ability to think creatively and adapt to new challenges • Excellent communication skills to collaborate with interdisciplinary teams and present complex technical concepts to non-technical stakeholders • Passion for continuous learning and a keen interest in exploring the potential of generative AI in various industries • AWS Solution Architect - Professional Certification (required within 6 months of hire) • AWS Specialty Certification - Machine Learning (required within 1 year of hire)

🏖️ Benefícios

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities