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Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
The Specialist II provides technology support to clients, resolving hardware and software issues while ensuring excellent customer service and satisfaction.
Top Skills:
Microsoft 365MS OfficeWindows Operating System
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
The Specialist II provides technology support to clients, ensuring high customer satisfaction while resolving hardware and software issues of low to moderate complexity.
Top Skills:
Microsoft 365MS OfficeWindows Operating System
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Senior Program Manager will drive AI program delivery, work with cross-functional teams, manage projects, and support AI initiatives in sales.
Top Skills:
Ai-Related TechnologiesDatabricksGongNetSuitePythonSalesforce
Provectus is a GenAI consulting firm and AWS Premier Partner helping enterprise clients across Healthcare & Life Sciences, Finance, Retail, and other industries adopt and scale AI solutions. We build custom, production-grade AI platforms, not off-the-shelf products.
About the Role:
We are looking for a senior hands-on engineer to own and maintain a sophisticated AI platform already in production. This is not a greenfield project. You will be working on a live system used in a regulated enterprise environment, handling real scale and real complexity. You will operate autonomously, make technical decisions independently, and be the primary technical owner of the solution.
What You'll Do:
- Maintain, improve, and extend an AI platform already running in production
- Handle a mix of backend development, data engineering, DevOps, and infrastructure work
- Translate business and product requirements into technical decisions independently
- Work directly with internal stakeholders and consumer teams
- Establish and maintain engineering best practices for the platform
- Identify and resolve technical issues as the first line of defense
What You'll Bring:
- 6+ years of hands-on engineering experience with production systems
- Generalist mindset, comfortable across backend development, data pipelines, and cloud infrastructure
- Strong Python skills and solid software engineering fundamentals
- Hands-on experience with AWS (Lambda, S3, SageMaker, Bedrock, ECR, or similar)
- Experience with data engineering, pipelines, transformations, storage, and processing at scale
- Experience maintaining and scaling systems in production, not just building POCs
- Autonomous working style, you don't need a project manager to tell you what to do next
- US-based, required due to project compliance and data security constraints
Nice to Have:
- Experience with AI/ML systems or LLM-based applications
- DevOps or MLOps background
- Prior consulting or professional services experience
What We Offer:
- Full ownership of a production AI platform
- Remote-first, fully flexible work environment
- Annual performance bonus
- Health, dental, vision, 401(k) with company match, unlimited PTO
- Long-term engagement; this role extends beyond the initial project
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
