AI Solutions Architect
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Job Description
AI Solutions Architect responsible for designing AI solutions and strategies for data handling at Verity. Collaborating on innovative digital transformation projects.
Responsibilities:
- AI Architecture & Solution Design Consulting
- Complex Systems Design: Design end-to-end technical architecture, selecting infrastructure (cloud), data, and model components.
- A2A (Agent-to-Agent) Ecosystems: Design interaction protocols for multi-agent systems, defining how autonomous agents share memory, negotiate tasks, and handle failures asynchronously without direct human supervision.
- Trade-off Evaluation: Act as a consultant to technically decide between deterministic approaches (classic ML/rule-based) vs. probabilistic approaches (GenAI).
- Definition of Standards and Technical Governance: Create reference technical documentation and Architecture Decision Records (ADRs) and architecture templates to accelerate solution development.
- Security and Compliance (Security by Design): Establish security standards for AI, such as using VPC Service Controls, obfuscating PII before inference, and enforcing granular access control.
- Technology Curation: Continuously evaluate new tools, models, and market techniques, and validate which should be part of the company's technology stack.
- Cost Engineering: Design solutions focused on TCO (Total Cost of Ownership). Calculate the economic feasibility of running proprietary models versus open models.
Requirements:
- Hybrid AI Expertise: Deep theoretical and practical knowledge in both traditional Machine Learning (scikit-learn, forecasting, classification) and GenAI (Transformers, LLMs, diffusion models).
- Cloud Architecture Expertise (Preferably GCP): Proven ability to design enterprise solutions using Google Cloud components (Vertex AI, BigQuery, Dataflow, Cloud Run).
- Solutions Architecture: Strong knowledge of architectural styles (microservices, REST, monoliths, DDD, etc.) and architectural patterns; strong communication, presentation, negotiation, and analytical skills.
- Software Architecture: Solid experience with architectural patterns (CQRS, RESTful, EDA, etc.) and API design.
- Agent Frameworks: Experience designing state flows and orchestration using tools like Google ADK, LangGraph, CrewAI, or native cloud orchestrators.
Benefits:
- Meal allowance
- Food allowance
- Remote work allowance
- Health insurance
- Dental insurance
- Life insurance
- Discount partnerships
- Corporate partnerships with retailers and educational institutions
- Ongoing agile training sessions
- Verity Learning
- #VerityWithYou
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