Solutions Architect (Data & AI)

Provectus, Inc.
Barcelona, Spain
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Working hours
Regular working hours
Languages
English, German
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Confluence JIRA Microsoft Azure Big Data BigQuery Mobile Application Development Cloud Computing Extract Transform Load (ETL)
+26 more
Data Migration Data Systems Decision Support Systems Automation of Marketing Scrum Methodology Software Product Management Productivity Software Power BI Software Engineering Tableau (Software) Google Cloud Large Language Models Snowflake Prompt Engineering IT Architecture Technical Debt Generative AI Git Data Analytics Figma Data Management Machine Learning Operations Virtual Agents GPT Data Pipelines Databricks

Job description

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. What You’ll Do 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 What You Bring, Shape how enterprises adopt AI - from strategy to architecture to delivery. Grow within a team building modern AI-delivery practices, tools, and frameworks. Remote-friendly culture with strong engineering, data, and consulting partnerships. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies.

Requirements

5-7+ years in product management (0*1 and scaling) 3-5+ years with AI/ML, GenAI, or data platforms Strong Agile/Scrum experience Experience in client-facing / consulting environment Advanced English and German language skills. Technical Expertise GenAI: prompt engineering, RAG, embeddings, vector DBs Agentic AI: LangChain, AutoGPT, CrewAI Data: ETL/ELT, data modeling, migration strategies Cloud: AWS, Azure, GCP + platforms (Snowflake, Databricks, BigQuery) MLOps, model deployment, AI observability Tools: Jira, Confluence, Figma, Tableau/Power BI, Git Core Skills Design thinking, data-driven decision making, strong communication and storytelling Bias toward action; thrives in ambiguity with structured problem-solving Engineering thinking, understanding of AI-native development toolset Fluent in AI-powered automation, with hands-on experience building productivity tools for yourself or your team using Claude workflows/routines or similar tools, as well as automation platforms like n8n or equivalent. Creativity, with experience building prototypes using Claude Code or similar tools. Nice to Have Consulting or client-facing product experience; software development background Domain expertise in financial services, healthcare, retail, or manufacturing Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP Cloud Practitioner

About the company

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.

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