What are the responsibilities and job description for the AI Solutions Architect - Platform Enablement | Specialist position at Jobgether?
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a AI Solutions Architect - Platform Enablement | Specialist in Brazil.
This is an outstanding opportunity for an experienced AI professional to drive large-scale adoption of cutting-edge AI platforms and agent-based solutions within enterprise environments. In this role, you will act as a key technical authority, enabling engineering and product teams to successfully design, migrate, and scale AI-powered applications and workflows. You will collaborate closely with multidisciplinary teams, translating complex technical concepts into practical solutions, documentation, and architectural guidance. The position combines strategic thinking, hands-on technical expertise, and developer enablement in a fast-paced, innovation-driven environment. Ideal candidates are passionate about generative AI, platform architecture, and empowering teams through knowledge sharing and scalable AI practices.
- Lead technical enablement initiatives for engineering and product teams adopting AI platforms and agent-based architectures.
- Drive the adoption and scalability of AI development components, workflows, and deployment standards across multiple teams and projects.
- Coordinate and execute migrations of legacy AI solutions into modern enterprise AI platforms and ecosystems.
- Identify technical gaps, bugs, documentation issues, and adoption barriers, proactively proposing and implementing improvements.
- Create high-quality technical documentation, including reference architectures, implementation guides, runbooks, and code examples.
- Translate feedback from internal communities and platform users into actionable insights for product and engineering teams.
- Serve as the primary technical liaison between platform teams and engineering stakeholders, ensuring alignment and platform evolution.
- Support the establishment of best practices for AI governance, orchestration, scalability, and operational excellence.
Requirements:
- Proven experience working with enterprise-scale AI/ML platforms in production environments.
- Deep understanding of AI agents, large language models (LLMs), and workflow orchestration patterns.
- Strong background in technical enablement, developer advocacy, solution architecture, or AI platform adoption initiatives.
- Ability to create comprehensive technical documentation and conduct effective knowledge-sharing sessions with engineering teams.
- Strong autonomy and problem-solving capabilities, with the ability to independently identify challenges and execute solutions.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP in AI/ML contexts is highly desirable.
- Practical experience with AI agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.
- Familiarity with MLOps platforms and tools including MLflow, Vertex AI, SageMaker, or Kubeflow.
- Previous experience in banking, fintech, or large-scale technology environments with platform-oriented cultures is considered a plus.
- Experience working within agile product teams and fast delivery cycles.
- Excellent communication and collaboration skills, with the ability to engage both technical and non-technical stakeholders.
Benefits:
- Opportunity to work on innovative AI and generative AI initiatives with large-scale business impact.
- Exposure to cutting-edge AI platforms, orchestration frameworks, and enterprise-grade AI architectures.
- Collaborative, technology-driven environment focused on continuous learning and innovation.
- Flexible and remote-friendly work model within Brazil.
- Professional development opportunities, technical enablement programs, and career growth initiatives.
- Dynamic culture that values autonomy, knowledge sharing, and experimentation with emerging technologies.
- Participation in transformative digital and AI-driven projects across multiple industries.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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