Product Specialist
Há 1 semana
Lisbon, Portugal
Moofwd, Inc.
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We are looking for a dedicated contractor with deep knowledge and hands-on expertise in AI technologies and the productization of AI capabilities. The ideal candidate will have practical experience designing, developing, and deploying AI-powered solutions using Databricks and Microsoft Copilot Studio, taking AI initiatives from proof of concept through to scalable, production-ready implementations. The resource will work closely with business stakeholders, product teams, data engineers, and technology teams to identify opportunities, build AI-enabled solutions, and deliver measurable business value.
Key Responsibilities
• Design, develop, and productize AI-powered solutions aligned with business requirements.
• Build and deploy AI applications, copilots, and agentic workflows using Microsoft Copilot Studio.
• Leverage Databricks for data engineering, analytics, machine learning, and AI solution development.
• Integrate large language models (LLMs), generative AI capabilities, APIs, enterprise data sources, and business applications.
• Translate business use cases into scalable, secure, production-ready AI solutions.
• Develop and optimize prompts, RAG architectures, AI agents, and workflow automation where appropriate.
• Implement testing, evaluation, monitoring, governance, and performance optimization for AI solutions.
• Collaborate with cross-functional teams to transition AI initiatives from experimentation to production.
• Ensure adherence to enterprise security, data privacy, and responsible AI practices.
• Document solution architectures, technical decisions, and implementation approaches. Required Skills and Experience
• Proven hands-on experience in AI/ML, generative AI, and AI-powered business solution delivery.
• Strong practical experience with Databricks and its data, machine learning, and AI capabilities.
• Hands-on experience with Microsoft Copilot Studio, including copilot development, integrations, connectors, and workflow automation.
• Experience taking AI solutions from proof of concept to production.
• Good understanding of LLMs, prompt engineering, RAG, AI agents, and model evaluation.
• Experience integrating AI capabilities with enterprise systems, APIs, and data platforms.
• Proficiency in Python, SQL, and relevant development frameworks.
• Familiarity with cloud platforms, CI/CD, deployment practices, and enterprise AI governance.
• Strong analytical, problem-solving, communication, and stakeholder management skills. Preferred Qualifications
• Experience with Microsoft Azure, Azure AI services, and Microsoft Power Platform.
• Knowledge of Databricks Mosaic AI, MLflow, Unity Catalog, and model serving.
• Experience implementing enterprise copilots, conversational AI, and workflow automation.
• Familiarity with vector databases, embeddings, semantic search, and retrieval pipelines.
• Experience working in enterprise technology delivery or consulting environments. Location and Engagement Requirements
• Candidates must be currently based in Lisbon, Portugal.
• Candidates must have the legal right to work in Portugal.
• Remote work is permitted.
•
Working hours
must be aligned with India Standard Time (IST), with sufficient overlap to collaborate with the India-based team.
• Both individual contractor arrangements and contracts through an LDA-registered company are acceptable.
• Immediate availability or a short notice period is preferred.
Key Responsibilities
• Design, develop, and productize AI-powered solutions aligned with business requirements.
• Build and deploy AI applications, copilots, and agentic workflows using Microsoft Copilot Studio.
• Leverage Databricks for data engineering, analytics, machine learning, and AI solution development.
• Integrate large language models (LLMs), generative AI capabilities, APIs, enterprise data sources, and business applications.
• Translate business use cases into scalable, secure, production-ready AI solutions.
• Develop and optimize prompts, RAG architectures, AI agents, and workflow automation where appropriate.
• Implement testing, evaluation, monitoring, governance, and performance optimization for AI solutions.
• Collaborate with cross-functional teams to transition AI initiatives from experimentation to production.
• Ensure adherence to enterprise security, data privacy, and responsible AI practices.
• Document solution architectures, technical decisions, and implementation approaches. Required Skills and Experience
• Proven hands-on experience in AI/ML, generative AI, and AI-powered business solution delivery.
• Strong practical experience with Databricks and its data, machine learning, and AI capabilities.
• Hands-on experience with Microsoft Copilot Studio, including copilot development, integrations, connectors, and workflow automation.
• Experience taking AI solutions from proof of concept to production.
• Good understanding of LLMs, prompt engineering, RAG, AI agents, and model evaluation.
• Experience integrating AI capabilities with enterprise systems, APIs, and data platforms.
• Proficiency in Python, SQL, and relevant development frameworks.
• Familiarity with cloud platforms, CI/CD, deployment practices, and enterprise AI governance.
• Strong analytical, problem-solving, communication, and stakeholder management skills. Preferred Qualifications
• Experience with Microsoft Azure, Azure AI services, and Microsoft Power Platform.
• Knowledge of Databricks Mosaic AI, MLflow, Unity Catalog, and model serving.
• Experience implementing enterprise copilots, conversational AI, and workflow automation.
• Familiarity with vector databases, embeddings, semantic search, and retrieval pipelines.
• Experience working in enterprise technology delivery or consulting environments. Location and Engagement Requirements
• Candidates must be currently based in Lisbon, Portugal.
• Candidates must have the legal right to work in Portugal.
• Remote work is permitted.
•
Working hours
must be aligned with India Standard Time (IST), with sufficient overlap to collaborate with the India-based team.
• Both individual contractor arrangements and contracts through an LDA-registered company are acceptable.
• Immediate availability or a short notice period is preferred.