Senior Solution Manager – AI & Data Solutions
Provectus
Wymagania
- GenAI
- LLM
- LangChain
- Databricks
Opis stanowiska
Provectus is a Premier AWS partner at the forefront of Artificial Intelligence solutions, empowering businesses to unlock value and accelerate their transformation via bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, Provectus partners with clients worldwide and is obsessed with leveraging cloud, data, and AI to reimagine the way clients operate & compete. We seek an exceptional Senior Solution Manager who thrives at the intersection of emerging AI technologies and enterprise data transformation. You'll lead product strategy and execution for client engagements involving AI, Generative AI, Agentic AI systems, and complex data migration initiatives – delivering solutions that drive measurable business impact. The ideal candidate seamlessly navigates between strategic vision and tactical execution, translating ambiguous business challenges into actionable product roadmaps. You're equally comfortable presenting AI architecture decisions to C-suite executives as you are collaborating with ML engineers on prompt engineering strategies or data scientists on embedding models AI Product Strategy & Delivery - Define product vision and roadmaps for GenAI/LLM solutions (GPT-4, Claude, Llama, Gemini), RAG, and Agentic AI - Own end-to-end product lifecycle (0→1 and scale) aligned with business KPIs - Build business cases (market analysis, ROI, competitive positioning) Data & Platform Initiatives - Lead large-scale data migration across AWS, Azure, GCP - Oversee data pipelines, transformation, governance, and APIs - Ensure data quality, security, compliance, and observability Agile Execution - Lead Agile processes, backlog grooming, and sprint planning - Break down complex features into incremental releases - Balance feature delivery with technical debt and architecture improvements Stakeholder Collaboration - Work with clients, engineers, data scientists, and UX teams - Translate technical solutions into business value - Run workshops, user research, and product validation Performance & Scaling - Define success metrics and analytics frameworks - Drive continuous improvement and root-cause analysis - Support product adoption and change management