AI/ML Solutions Architect

Description

Job Summary: Identify and resolve customer problems by transforming business needs into viable digital solutions—with emphasis on value, UX, and technical feasibility. Key Highlights: 1. Strategic alignment among client, sales, and technology 2. Focus on viable digital solutions and user experience 3. Use of generative AI to accelerate analysis and documentation **Purpose of the Role** ----------------------- Identify and resolve real customer problems by collaborating closely with the sales team and business units to understand pain points, needs, and opportunities. Based on this understanding, translate those requirements into viable digital solutions—structuring proposals that balance business value, user experience, and technical implementation capability. This role bridges the customer context with the technology team, ensuring developed solutions are meaningful, executable, and truly address the stated problem. **Key Responsibilities** -------------------------------- **Understanding Customer Context and Pain Points** * Collaborate with the sales team and stakeholders to understand customer context, needs, and pain points * Participate in discussions, requirement gathering, and alignment sessions to ensure clear problem understanding before proposing any solution * Challenge requests when necessary—going beyond the initial ask to uncover the underlying need **Solution Analysis and Structuring** * Translate business problems into viable digital solutions * Define system workflows, business rules, and expected behaviors * Evaluate alternative approaches to solving the problem—considering impact, effort, and technical feasibility * Ensure proposed solutions make sense both for the customer and the development team **Scope Definition and Detailing** * Organize and structure requirements clearly and understandably for the technical team * Write user stories, acceptance criteria, and business rules * Ensure scope completeness, consistency, and alignment with the solution objective **Delivery Monitoring and Validation** * Monitor solution development alongside the technical team * Clarify questions and adjust guidance throughout execution * Validate deliveries to ensure adherence to the defined problem and solution **Cross-Functional Coordination** * Serve as a bridge between client, sales, and technical teams * Align expectations across all involved parties * Communicate decisions, changes, and impacts clearly **Skills and Competencies** ------------------------------ * Ability to systematically understand business problems—going beyond initial requests to identify the customer’s true need * Skill in connecting diverse contexts—client, business, and technology—to translate needs into viable digital solutions * Strong communication skills across audiences—effectively engaging clients, sales teams, and technical teams with clarity and objectivity * Experience with digital products and agile environments (Scrum, Kanban), actively participating in solution building and evolution * Ability to structure solutions—including workflows, business rules, and expected system behaviors—while considering integrations and technical feasibility * Experience defining and detailing requirements—including user stories, acceptance criteria, and functional documentation * Analytical thinking and critical judgment to assess scenarios, question requirements, and support decision-making * Ability to leverage market benchmarks and references to inform solution design and product direction * Organizational skills and attention to detail when scoping—ensuring requirements are clear, consistent, and actionable * Familiarity with product management and documentation tools * Proactivity and autonomy to drive initiatives and provide guidance—even in loosely defined contexts **Technical Requirements** ----------------------- **Desirable:** * Knowledge of PyTorch and/or TensorFlow * Knowledge of Python * Solid high-level understanding of system architecture: REST APIs, system integrations, webhooks, authentication (OAuth, JWT), and data flow between applications * Knowledge of relational databases and ability to read/write basic-to-intermediate SQL queries for rule validation and data analysis * Familiarity with UX/UI concepts to collaborate with designers on user-centered solutions * Ability to interpret technical diagrams (flowcharts, BPMN, sequence diagrams, ER diagrams) and create them when needed **Differentiators:** * Awareness of modern programming languages and frameworks (coding not required, but helpful for technical communication) * Conceptual knowledge of cloud architectures (AWS, Azure, or GCP) * Experience with integrations involving ERPs, CRMs, or legacy systems * Awareness of LGPD and security best practices for digital products * Analytics and product discovery tools (Hotjar, Mixpanel, Amplitude, Google Analytics) * Postman or Insomnia for API exploration * AI tools applied to workflow (Claude, ChatGPT, Cursor) to accelerate documentation and analysis **Artificial Intelligence Knowledge** -------------------------------------------- **Desirable:** * Proficient use of generative AI assistants (Claude, ChatGPT, Gemini) to accelerate documentation, requirements analysis, user story writing, and workflow structuring * Ability to craft effective prompts (prompt engineering) to achieve consistent results in discovery, analysis, and documentation tasks * Conceptual understanding of LLMs (Large Language Models): what they are, their purpose, limitations (hallucinations, context window, cost), and appropriate use cases in solutions * Awareness of RAG (Retrieval-Augmented Generation) and document indexing for building AI solutions that combine large language models with client-specific knowledge bases **Differentiators:** * Experience in projects involving AI-based features (chatbots, assistants, automated classification, document data extraction, summarization, semantic search) * Familiarity with AI provider APIs (Anthropic, OpenAI, Azure OpenAI, AWS Bedrock) and their token-based pricing models * Conceptual knowledge of AI agent orchestration frameworks (e.g., LangChain, n8n with AI nodes, or similar) * Awareness of AI solution evaluation: how to measure quality, define acceptance criteria, and structure testing for probabilistic features * Sensitivity to ethical and governance issues in AI: data privacy, bias, transparency, and LGPD compliance in solutions processing customer data * Ability to identify automation and productivity opportunities using AI within customer solution scopes **We aim to provide our team with a welcoming, dynamic, and collaborative environment. To achieve this, we offer several initiatives, including:** * Remote work allowance * Periodic feedback sessions * Employee referral program Psychological support ‍* ️ * Workplace gymnastics ️ * Knowledge academy * English school partnership * Monthly transparency meetings * Online happy hour * Welcome kit