Remote Lead Platform Engineer - AI & Data

Huron Consulting Group

Chicago (IL)

Hybrid

USD 155,000 - 175,000

Full time

14 days+

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Benefits offered by this job

Medical, dental and vision coverage

401(k) with employer match

Paid Time Off and parental leave

Wellness program and on-site workshops

Job summary

Huron Consulting Group is seeking a Lead Platform Engineer to architect, deploy, and operationalize AI, Microsoft Fabric, and workflow platforms across multiple client engagements. You will own internal tooling and drive DevOps excellence in a fast-paced professional services environment.

The role requires hands-on experience with Azure DevOps, Salesforce integration, and AI workflow development, with leadership responsibilities and collaboration with internal teams and clients across cloud data

Qualifications

5+ years in platform engineering, DevOps, cloud operations, or related roles, preferably in professional services or managed services.
Hands-on Azure DevOps administration, pipelines, governance, reporting, and multi-project management.
Experience with Salesforce administration or development coordination and collaborating with dev teams.
Familiarity with Microsoft Fabric and cloud data platforms (Azure Data Factory, Synapse, Databricks) and client onboarding.
Experience designing or supporting AI/LLM solutions, including prompt workflows and automation.
Strong communication skills to translate technical topics for stakeholders and clients.
Ability to manage multiple priorities across cross-functional teams.

Responsibilities

Own architecture, configuration, standardization, and administration of internal Azure DevOps environments across client engagements.
Liaise with Salesforce Development Team to gather requirements, plan sprints, and coordinate deployments for enhancements.
Lead design and maintenance of AI-powered solutions and Claude AI projects, including workflows and automation.
Coordinate client onboarding for Microsoft Fabric deployments with client IT and data teams.
Collaborate on Power BI data models and data pipelines, providing architectural guidance.
Support expansion of Managed Services processes into Salesforce and other platforms with defined workflows.
Develop documentation, runbooks, and standards to drive scalability and reliability.
Mentor team members and contribute to technical governance and standards.