AI Solution Architect

We are searching for an AI Solution Architect who will play a strategic and technical leadership role in shaping, promoting, and delivering innovative AI solutions. The role combines technical leadership, solution design, client engagement, team coordination, and innovation to ensure the successful growth and delivery of Apgar's AI offerings.

• Design end-to-end AI solution architectures aligned with client business objectives
• Define technical roadmaps for AI initiatives, from ideation through deployment and scaling
• Architect solutions leveraging Agentic AI, Generative AI, Machine Learning, NLP, Information Retrieval, and enterprise software technologies
• Ensure solution scalability, security, performance, maintainability, and governance
• Define integration patterns between AI solutions and enterprise systems
• Drive adoption of best practices in AI architecture, MLOps, LLMOps, and Responsible AI
• Act as a trusted advisor to clients throughout their AI transformation journey
• Collaborate with business leaders to identify opportunities where AI can create measurable value
• Translate business challenges into innovative AI-driven solutions
• Conduct discovery workshops, assessment sessions, and strategic advisory engagements
• Present technical and business recommendations to executive stakeholders
• Support clients in defining AI adoption roadmaps and governance frameworks
• Lead technical presales activities for AI opportunities
• Participate in client presentations, workshops, demonstrations, and proof-of-concept discussions
• Design solution proposals and technical approaches in response to RFPs and client requirements
• Support effort estimation, project scoping, and resource planning
• Develop compelling value propositions demonstrating the business impact of AI initiatives
• Contribute to proposal writing and solution documentation
• Serve as a key ambassador for Apgar's AI offerings
• Demonstrate AI use cases, accelerators, and industry-specific solutions to prospects and clients
• Collaborate with marketing and business teams to promote AI thought leadership
• Contribute to webinars, conferences, workshops, and client showcases
• Develop reusable solution frameworks, accelerators, and AI assets
• Provide technical leadership to AI consultants and project teams
• Guide architecture decisions throughout project lifecycles
• Mentor junior and senior AI consultants on best practices and emerging technologies
• Facilitate knowledge sharing and innovation within the AI team
• Coordinate technical activities across AI engagements and initiatives
• Review solution designs and ensure alignment with architectural standards
• Continuously evaluate emerging AI technologies, frameworks, and market trends

• Searching to work in an hybrid mode, from Oporto
• Master’s degree is obligatory, Engineering Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Computational Linguistics, Mathematics, or a related field
• 7+ years of experience in Artificial Intelligence, Software Engineering, Data Science, or related domains
• Demonstrated experience designing enterprise-scale AI solutions
• Experience leading client-facing AI initiatives and consulting engagements
• Proven involvement in presales, solution architecture, and business development activities
• Expertise in Agentic AI architectures and AI orchestration frameworks
• Strong experience with Machine Learning and Generative AI solutions
• Extensive knowledge of Natural Language Processing (NLP) and conversational AI systems
• Experience in Information Retrieval, Knowledge Management, and RAG architectures
• Understanding of LLM evaluation, optimization, and governance frameworks
• Strong software architecture and design capabilities
• Proficiency in Python and modern development frameworks
• Experience building enterprise-grade AI applications and APIs
• Knowledge of microservices, cloud-native architectures, and distributed systems
• Familiarity with Azure, AWS, or Google Cloud AI services
• Experience with containerization and orchestration technologies
• Understanding of MLOps, LLMOps, deployment automation, and monitoring practices
• Strong stakeholder management and relationship-building capabilities
• Excellent presentation, communication, and facilitation skills
• Ability to explain complex AI concepts to both technical and non-technical audiences
• Strong analytical thinking and problem-solving abilities
• Proven ability to influence strategic decisions and drive innovation
• Entrepreneurial mindset with a strong focus on value creation and business impact

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.