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Artificial Intelligence Solutions ArchitectIBM • United States
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Artificial Intelligence Solutions Architect

IBM
  • US
    United States
  • US
    United States
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À propos

Introduction Embark on a rewarding career with IBM Consulting, where long-term relationships and collaboration with clients worldwide are at the heart of what we do. Engage with visionary leaders across various industries to enhance their hybrid cloud and AI journeys, contributing to some of the most innovative and thriving companies globally. Leverage our strategic partner ecosystem and robust technology platforms within the IBM portfolio to create meaningful impact for our clients. Your Role and Responsibilities As an Architect at IBM Consulting, you will lead the design of innovative solutions tailored for our clients. You will represent the client's interests while guiding the technical team through implementation. Your key responsibilities encompass: Innovative Systems Design:
Craft centralized or distributed systems that meet user requirements while ensuring optimal efficiency and effectiveness.
Data Architecture Leadership:
Oversee end-to-end data architecture, from platform selection and technical design to application development.
Data Analysis and Insights:
Analyze data and deliver insightful reports, utilizing statistical techniques to unearth key insights.
Required Technical and Professional Expertise 7-12+ years of experience in software engineering, data engineering, machine learning, or cloud architecture.
Proficient in at least one cloud platform.
Experience in architecture & system design, including high-level solution architecture diagrams.
Hands-on experience expected in: 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 Experience with LLM fine-tuning, RAG pipelines, vector databases.
Familiarity with OpenAI, Anthropic, Llama, Hugging Face.
Expertise in prompt engineering, model evaluation, and safety measures.
Preferred Technical and Professional Experience Experience in Data Engineering & Data Architecture Data pipelines: Spark, Airflow, Kafka.
Data lakes & warehouses: Snowflake, BigQuery, Redshift.
ETL/ELT design knowledge.
Understanding of data governance & quality frameworks.
Security, Governance, and Responsible AI Experience Established AI governance frameworks.
Adoption of privacy-by-design principles.
Expertise in model risk management practices.
IBM is dedicated to fostering a diverse environment and is proud to be an equal-opportunity employer. All qualified candidates will be considered for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. Additionally, IBM strictly adheres to fair employment practices regarding citizenship and immigration status.
  • United States

Compétences linguistiques

  • English
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