Technical Architect

🕒 Agosto 7

🌽 Illinois, Kansas, +1 estados a mais – Remoto

🌽 Illinois – Remote 🌪️ Kansas – Remote ❄️ Minnesota – Remote

💵 $190.750 - $255.150 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🔙 Engenheiro Backend

🦅 Patrocina Visto H1B

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Salesforce

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1999

💼 Consultoria

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

O Salesforce é uma empresa líder em software baseado em nuvem que fornece uma plataforma abrangente de gerenciamento de relacionamento com o cliente (CRM). A plataforma conecta todos os dados e equipes da empresa em um sistema integrado e orientado por IA para melhorar as vendas, o atendimento ao cliente e os esforços de marketing. O Salesforce oferece soluções escaláveis para empresas de todos os portes, incluindo pequenas e médias empresas, e fornece soluções específicas para setores industriais que modernizam operações, economizam tempo e reduzem custos. O Salesforce também oferece recursos educacionais através do Trailhead e uma ampla seleção de aplicativos no AppExchange para expandir as capacidades de seu CRM.

Descrição

• Serve as a pre-sales, customer-facing enterprise domain expert for Data & AI Cloud solutions • Help customers address complex data and AI challenges involving unified data platforms, lakehouses, agentic AI systems, and LLM-powered applications • Use structured discovery to uncover business and technical requirements and translate them into solution architectures • Lead technical and business discussions across enterprise data and AI programs from strategy through architecture and deployment • Select technologies and patterns aligned with customer goals using cloud-native best practices • Help sales teams develop repeatable propositions and go-to-market strategies • Deliver solution best practices, reference architectures, enablement sessions, and industry summits • Design, develop, deploy, and manage agentic AI systems and enterprise generative AI solutions • Architect data pipelines, semantic layers, feature stores, orchestration layers, and persistent context architectures • Travel domestically for customer engagements and team events

🎯 Requisitos

• Hands-on experience with cloud data warehouse and lakehouse platforms such as Snowflake, Databricks, BigQuery, Redshift, or Azure Synapse • Strong SQL skills and data modeling across structured, semi-structured, and unstructured data • Familiarity with dbt or Spark is a plus • Familiarity with machine learning fundamentals, including feature engineering, model training pipelines, inference patterns, and vector/embedding-based retrieval • Practical experience with agentic AI or generative AI, including an LLM or agent production deployment, proof of concept, or side project • Experience using AI coding tools such as Copilot, Cursor, or Claude Code; Python proficiency strongly preferred • Deep knowledge of enterprise data platforms and AWS, GCP, or Azure cloud architectures • Knowledge of data modeling, MDM, identity resolution, data quality, governance, and lineage • Knowledge of APIs, event streaming, Kafka/Pub-Sub, and ETL/ELT patterns • Knowledge of process orchestration and automation • Knowledge of network, application, and information security principles • Willingness to work with Python, SQL, JavaScript, Java, or similar code • Ability to translate complex business and technical requirements into solution narratives for executive, technical, and business audiences • Strong written, verbal, and presentation skills • Excellent time management across concurrent engagements • Willingness and ability to travel domestically • Bachelor's degree in Computer Science, MIS, Data Science, Software Engineering, or another STEM field, or equivalent experience • B.S. in Computer Science, Software Engineering, or MIS • Knowledge of related applications, relational databases, and ERP technologies • Minimum of 4 years of professional experience • Hands-on experience developing, deploying, and managing agentic AI systems • Understanding of autonomous agents, tool use, heterogeneous data systems, cloud warehouses, APIs, and vector stores • Experience with agentic frameworks such as LangChain, LangGraph, CrewAI, or AutoGen • Working understanding of LLMs, prompt engineering, tool calling, and RAG patterns • Experience designing persistent agent context and memory layers • Experience architecting generative AI solutions with API gateways, model management platforms, embedding pipelines, vector databases, and production data flows • Deep understanding of lakehouse and unified data architecture patterns • Experience designing orchestration layers for complex, multi-step business processes

🏖️ Benefícios

• Time off programs • Medical insurance • Dental insurance • Vision insurance • Mental health support • Paid parental leave • Life insurance • Disability insurance • 401(k) • Employee stock purchasing program • Incentive compensation may apply • Equity may apply