
Business AI Architect
4 days ago
Key Opportunities
- Design and implement autonomous AI systems that integrate stateful reasoning, memory, and orchestration.
- Develop Digital Twin AI Employees using LLMs, SLMs, and custom orchestration logic to enhance business performance.
- Integrate AI agents with enterprise systems (ERP, CRM, Accounting APIs, Voice Platforms) for seamless automation.
- Build scalable AI templates for cross-industry use cases (hospitality, manufacturing, supply chain, logistics).
- Optimize AI solutions for scalability: retries, fail-safes, state persistence, and performance tuning.
Core Competencies
- Strong background in Machine Learning and Deep Learning (esp. time-series & sequential modeling).
- Experience with LLMs, SLMs, or hybrid architectures for reasoning + prediction.
- Knowledge of probabilistic modeling (Bayesian methods, Monte Carlo, Markov Decision Processes).
- Experience in time-series forecasting (ARIMA, Prophet, RNN/LSTM/GRU, Transformer-based models).
- Familiarity with anomaly detection techniques to capture unexpected signals.
Prescriptive Expertise
- Ability to move from prediction → prescription (recommend optimal actions, not just forecasts).
- Knowledge of reinforcement learning, optimization algorithms, or decision theory.
Infrastructure Fundamentals
- Hands-on with data pipelines (ETL/ELT, Apache Kafka, Airflow, dbt, or similar).
- Experience with vector databases (Pinecone, Weaviate, Milvus, pgvector) for memory/state management.
- Strong SQL + NoSQL experience (Postgres, Mongo, etc.) for structured/unstructured data.
Enterprise Connection
- Ability to connect models into ERP, CRM, Finance, and Supply Chain systems.
- Strong API design & integration skills (REST, GraphQL, gRPC).
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