Top Tech Jobs & Startup Jobs in Seattle, WA

Architect and govern production-grade generative AI solutions across enterprise platforms. Design integrations involving large language models, retrieval-augmented generation, prompt engineering, autonomous agents, microservices, APIs, data, and cloud technologies. Establish architectural standards, evaluate AI platforms and toolchains, optimize scalability and security, and lead technical design reviews. Requires extensive enterprise architecture experience, strong communication and prioritization skills, cross-functional collaboration, and the ability to perform under pressure. Banking experience is preferred.

Develop and deploy Appian BPM solutions, including workflows, process models, interfaces, records, reports, integrations, and enterprise applications. Translate business requirements into automated processes, optimize performance, troubleshoot issues, and ensure security and best practices. Build integrations with databases, APIs, Active Directory, Ping, Snowflake, Dremio, and other systems. Provide technical leadership, mentoring, documentation, and support for BPM architecture, standards, reuse, and process improvement initiatives.

Lead the design and development of Azure-based big data solutions, including batch and real-time ETL/ELT pipelines, data architecture, ingestion, curation, warehousing, and storage. Build solutions using Azure Data Factory, Databricks, Synapse, Spark, Python, SQL, and related Azure services. Support Salesforce migration and integration while applying strong RDBMS, data management, and big data design expertise.

Provides onsite technical support for virtual meeting rooms, conferencing hardware, smartphones, tablets, mobile applications, and collaboration platforms. Responsibilities include setting up and monitoring meetings, troubleshooting devices and audiovisual equipment, training employees, and managing help desk tickets. Requires basic IT or customer service experience, familiarity with Zoom, Teams, or Webex, knowledge of iOS and Android device management, and clear communication skills.

Designs, governs, and optimizes enterprise PeopleSoft solutions across HCM, Finance, Payroll, and related functions. Partners with stakeholders, functional consultants, and technical teams to gather requirements, develop technical designs, evaluate existing systems, recommend improvements, and oversee integrations. Ensures PeopleSoft environments meet scalability, security, performance, compliance, and business-alignment objectives.

Leads end-to-end technology delivery for fraud-related client projects and initiatives. Coordinates internal teams, service providers, vendors, stakeholders, and engineering groups; manages risks, issues, metrics, integrations, and system enhancements. Guides technical trade-off decisions while balancing business objectives, platform strategy, customer experience, and maintainability. Analyzes complex application-support problems, recommends solutions, and provides technical oversight across the fraud book of work.

Build and maintain ETL and data pipelines using Python, PySpark, and AWS services. Orchestrate workflows, develop event-driven integrations, optimize data storage and queries, process API and JSON data, and implement data quality monitoring. Support CI/CD, production operations, cloud migration, data lake and lakehouse initiatives, and near-real-time systems while collaborating with stakeholders to deliver technical solutions.

Leads end-to-end technology delivery for fraud-related client projects and initiatives. Coordinates internal teams, vendors, product owners, analysts, and engineering groups; manages requirements, risks, issues, integrations, system enhancements, and support impacts. Evaluates complex business processes and application logic, recommends solutions, establishes success metrics, and guides stakeholders through technical and business trade-offs.

Leads end-to-end technology delivery for fraud-related projects and initiatives. Coordinates internal teams, vendors, and service providers; manages risks, issues, requirements, system impacts, and application enhancements. Partners with product owners, business analysts, systems analysts, engineering teams, and management to align integrations, support requirements, business objectives, customer experience, and technical strategy. Analyzes complex application problems and recommends practical solutions.

Design, develop, and maintain enterprise AI applications, including conversational assistants, copilots, autonomous agents, RAG solutions, and workflow automation. Build scalable APIs and microservices integrating foundation models and enterprise systems. Apply prompt and context engineering, memory management, observability, governance, and performance optimization. Collaborate with cross-functional teams to identify automation opportunities and participate in Agile development, code reviews, CI/CD, and DevSecOps.