Jobs · Florida

Senior Managing Consultant - AI Architect

IBM · Coral Gables, FL · 3 wk ago
HybridFull-time

About the role

As an Architect in IBM Consulting, you'll serve as a leader in defining solutions for clients. You'll be the advocate for the client while guiding the technical team to implementation. You'll collaborate with client stakeholders and internal partners to understand the business problem and requirements, constraints of the system and concerns of the various stakeholders to systematically transform detailed solutions (architectures) for the client.

Responsibilities

  • Innovative Systems Design for Optimal Performance: Design centralized or distributed systems that both address the user's requirements and perform efficiently and effectively.
  • End-to-End Data Architecture Leadership: Manage end-to-end data architecture, starting from selecting the platform, designing a technical architecture and developing the application.
  • Data Analysis and Insightful Reporting: Interpret data, analyze results using statistical techniques and provide ongoing reports discovering key insights.

Qualifications

  • 10-12+ years total experience in software engineering, data engineering, machine learning, or cloud architecture
  • Hands-on experience building and deploying ML models (supervised, unsupervised, deep learning)
  • Model lifecycle & MLOps: MLflow, Kubeflow, Vertex AI, SageMaker
  • Feature engineering and dataset management
  • Large Language Models & Generative AI Experience: LLM fine-tuning, RAG pipelines, vector databases
  • Familiarity with OpenAI, Anthropic, Llama, Hugging Face
  • Prompt engineering, model evaluation, guardrails & safety
  • Deep experience in at least one cloud platform
  • Architecture & System Design Experience: high-level solution architecture diagrams

Skills

  • Data Engineering & Data Architecture: Data pipelines (Spark, Airflow, Kafka), Data lakes & warehouses (Snowflake, BigQuery, Redshift), ETL/ELT design, Data governance & quality frameworks
  • Security, Governance, and Responsible AI: AI governance frameworks, Privacy-by-design, Model risk management

Schedule

Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week subject to business needs. This job can be performed from anywhere in the US.

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