Senior Solutions Architect – Emerging Technologies, AI, GenAI, ML

🕒 Maio 22

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $138.000 - $200.100 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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Empower

SiteLinkedInTodas as Vagas

10.000+ funcionários

💸 Finanças

💳 Fintech

👥 B2C

Finance • Fintech • B2C

A Empower é uma fornecedora líder de serviços financeiros focada em ajudar indivíduos e organizações a alcançar a liberdade financeira através do planejamento de aposentadoria e da gestão de investimentos. Atendendo a mais de 19 milhões de americanos, a Empower oferece um conjunto abrangente de serviços relacionados a finanças, incluindo planejamento inteligente e aconselhamento de investimento, além de ferramentas como o Empower Personal Dashboard™ para uma visão financeira completa. A empresa é renomada como uma das principais provedoras de planos de aposentadoria e trabalha de perto com investidores pessoais, poupadores de planos no local de trabalho, patrocinadores de planos e profissionais financeiros. A Empower também é reconhecida por suas iniciativas em Diversidade, Equidade, Inclusão e tem um compromisso social que fortalece o impacto na comunidade.

Descrição

• Lead discovery with business and technology partners to understand objectives, constraints, current-state systems, and integration points. • Document current-state architecture and define target-state designs including system context diagrams, component designs, integration patterns, and data flows. • Design and modernize applications into cloud-compatible or cloud-native architectures using microservices, serverless, and event-driven patterns where appropriate. • Create strategies, roadmaps, and migration designs for transitioning applications and data workloads to cloud platforms. • Design AI and ML-enabled solutions, including model integration into products and business processes, and patterns for scalable inference and low-latency serving where needed. • Design Generative AI solution patterns, such as retrieval-augmented generation, tool and API integration, prompt and context management, and evaluation approaches. • Define reference architectures for AI platforms and enabling capabilities, such as data pipelines, feature and embedding generation, vector storage, model endpoints, and integration with enterprise APIs. • Establish best practices for MLOps and AI operations, including model versioning, deployment, monitoring, drift detection, incident response, and cost management. • Incorporate security-by-design practices into architectures, including identity and access controls, encryption, secrets management, secure networking, and audit logging. • Partner with governance and risk stakeholders to ensure responsible AI considerations are incorporated, including privacy, explainability, safety, compliance, and model risk controls as applicable. • Drive alignment and adoption of proposed solutions by clearly communicating tradeoffs, risks, and value and obtaining stakeholder alignment and governance approvals. • Support teams responsible for testing and validation and help triage and resolve design-related issues found during development, UAT, or production. • Perform other duties as assigned.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business, or equivalent practical experience. • 5+ years of experience in agile software delivery environments with increasing architecture and design responsibility. • Demonstrated experience designing distributed systems using microservices and or serverless patterns. • Experience designing and integrating AI and ML capabilities into applications, including model serving considerations and data dependencies. • Experience with one or more languages such as Java, Python, Node.js, or Scala. • Experience with data persistence technologies across SQL and NoSQL. • Experience with at least one major cloud provider, AWS, Azure, or Google Cloud, and core cloud design patterns. • Working knowledge of CI/CD pipelines and DevOps practices, including automated testing and deployment automation. • Strong communication skills and ability to translate business needs into clear technical direction.

🏖️ Benefícios

• Medical, dental, vision and life insurance • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment that includes the option to wear jeans • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year • Paid volunteer time — 16 hours per calendar year • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) • Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.