Principal Consultant
Dell Technologies · Posted Oct 13
Enterprise infrastructure, personal computers, servers, storage, and cloud technology solutions
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About the role
Dell's Consulting Service Delivery organization provides consultative business and technical delivery services for complex customer-facing consulting engagements, in partnership with Global Pre-Sales, Account Management and Solutioning Teams. The GenAI/Data Science Practice focuses on deploying, administering and configuring Large Language Model and Generative AI software stacks so Dell customers can deploy and fine-tune GenAI models. This Principal Consultant (Delivery Enterprise Architect) role serves as the senior-most technical member of the Services Delivery team, delivering and architecting GenAI, MLOps and data engineering solutions while guiding and grooming other Dell consultants.
What you will do
- As a Principal Consultant (Delivery Enterprise Architect) within the Dell organization, aligned to Consulting Service Delivery, you will provide consultative business and technical delivery services for a range of complex customer-facing consulting engagements, in partnership with Global Pre-Sales, Account Management and Solutioning Teams.
- Specifically, you will be part of projects deploying, administering and configurating Large Language Model and Generative AI software stacks. These projects will focus on allowing Dell customers to deploy and fine-tune GenAI models.
- Also, as the senior-most technical member of the Services Delivery team, for the GenAI/Data Science Practice, you will work alongside other Dell badged Consultants, to earn the customers trust through competence, technical acumen, consulting expertise, and partnership.
- You would also be responsible for providing guidance/oversight to these individuals and technical grooming activities for their skill upgrading.
- This position requires a dynamic individual with expert customer-facing skills, leadership qualities and forecasting abilities for a particular technology and its lifecycle.
- The ability to guide customers and communicate technical processes and ideas is essential. These engagements often ensure that the customer is also enabled in the technologies being delivered.
Skills used in this role
What the employer is looking for
- 18+ years in the IT industry, preferably with a masters degree in Data Science, Machine Learning, or a related field.
- 8+ years in Artificial Intelligence and Big Data within a customer-facing services delivery role, including the ability to engage Data Scientists and assess their current and future ecosystems.
- 5+ years implementing and supporting infrastructure deployment, setup, and configuration through automation (agentic automation a strong plus).
- Deep, hands-on knowledge of Large Language Models (LLMs) and the broader Generative AI tooling ecosystem.
- Proven experience designing agentic AI solutions and agentic workflows using frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, Langfuse, and LangSmith.
- Familiarity with the NVIDIA AI software suite, including NVIDIA Base Command Manager (formerly Bright Cluster Manager), the NeMo framework, and Triton Inference Server.
- Deep understanding of the MLOps and AIOps ecosystem, with hands-on experience across platforms such as Kubeflow, MLflow, Run:ai, ClearML, Ray, H2O, and Cohere.
- Extensive production experience with distributed query and processing engines Kafka, Trino (Starburst) and Apache Spark.
- Hands-on experience with modern table formats (Apache Iceberg, Delta Lake, or Hudi) for managing large-scale datasets.
- Mastery of cloud-native storage and compute e.g., AWS S3/EMR, GCP BigQuery/Dataproc, or Azure ADLS/Databricks.
- Deep understanding of columnar storage formats (Parquet, Avro) and how to optimize them for different query patterns.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Dell Technologies
Dell Technologies is a multinational technology company that develops, sells, repairs, and supports computers and related products and services. The company provides foundational infrastructure for enterprises, ranging from personal computers and servers to cutting-edge AI factories and cloud data solutions.
- Industry
- Hardware
- Company size
- 10001+ employees
- Founded
- 1984
- Location
- Round Rock, Texas, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Vice Chairman and Chief Operating Officer
David Kennedy
Chief Financial Officer
John Roese
Global Chief Technology Officer & Chief AI Officer
Jennifer Saavedra
Chief Human Resources Officer
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