Solutions Architect

2 weeks ago

Herndon, Virginia, United States Cisco Full time
Job Title: Solutions Architect - AI

We are seeking a highly skilled Solutions Architect - AI to join our dynamic sales team at Cisco. As a key member of our Cloud + AI Infrastructure team, you will drive the adoption of our AI solutions across various industries.

Key Responsibilities:
  • Identify potential clients and understand their specific needs for AI solutions.
  • Provide tailored AI solutions that enhance business operations.
  • Collaborate with technical teams, account teams, and executives to showcase AI solutions and promote their tactical and technical responsibilities.
  • Travel as needed to meet with clients and attend industry events.
Requirements:
  • 6+ years of technical presales experience selling Compute, Storage, and Network solutions.
  • Proficiency in Python, MySQL, Github, Git, GO, ETL, OLAP, RDBMS, Scribus, AWS, Azure, Google, IBM Cloud, or other platforms and programming languages.
  • Experience with databases (Oracle, PostgreSQL, MySQL, MongoDB, Cassandra, Redis, Snowflake, BigQuery) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face).
  • Ability to provide detailed and consumable documentation of standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise edge, and AI/ML solutions.
Preferred Qualifications:
  • Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree is a plus.
  • Excellent presentation skills – ability to deliver engaging workshops to both technical and non-technical audiences on AI topics.
  • AI experience with Nvidia, IBM, Microsoft, Dell, NetApp, HPE, and/or other AI vendors.
  • In-depth understanding of language models, including but not limited to GPT-3, BERT, or similar architectures.
  • Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure.
  • Familiarity with containerization technologies (e.g., Docker or equivalent experience) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

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