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Hitachi Solutions America logo
Hitachi Solutions America

A global cloud-services, systems integrator with leading capabilities across all Microsoft applications and technologies

Solution Architect, Data Science and AI

Solutions EngineerSolutions EngineerFull TimeRemoteLeadTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

South Carolina

Posted

27 days ago

Salary

$170K - $200K / year

Seniority

Lead

Bachelor Degree8 yrs expEnglishAzureCloudPySparkPythonUnity

Job Description

Solution Architect, Data Science and AI

Hitachi Solutions America

• Architect end-to-end machine learning and data science solutions on Azure and Databricks, from feature engineering through model serving and monitoring. • Design and govern MLOps pipelines using Databricks MLflow, Model Serving, and related tooling to enable repeatable, production-grade model deployment. • Architect generative AI solutions including Retrieval-Augmented Generation, agentic workflows, fine-tuning, document intelligence, embeddings, evaluation frameworks, and computer vision. • Contribute to modern data estate architectures using Microsoft Fabric and/or Azure Databricks, including lakehouse patterns and medallion architecture, to support ML and analytics workloads. • Contribute to client data strategy engagements including maturity assessments, analytics roadmaps, and governance frameworks in partnership with practice leadership. • Independently lead client-facing presales engagements, discovery workshops, and architecture reviews as the primary technical authority on data science and AI pursuits. • Develop level-of-effort estimates, architecture deliverables, and technical contributions to Statements of Work for client pursuits. • Provide delivery design assurance and architectural governance across active data science and AI engagements, including code reviews of Python, PySpark, and ML model implementations. • Design cloud-native Azure architectures using CAF and Well-Architected Framework principles as they apply to AI and data workloads.

Job Requirements

  • 8+ years in data science, ML engineering, or AI-focused solution architecture roles.
  • Strong experience presenting to clients and architectural governance skills is mandatory.
  • Prior experience working in a large consulting firm with strong preference to Microsoft Partner firms is mandatory.
  • Knowledge of the Microsoft ecosystem is mandatory.
  • Deep expertise in machine learning lifecycle — feature engineering, model training, evaluation, deployment, and monitoring.
  • Strong hands-on proficiency in Python and PySpark, with the ability to conduct code reviews and contribute to delivery when needed.
  • Strong expertise in Databricks, including MLflow, Model Serving, Unity Catalog, and Delta Lake.
  • Demonstrated experience designing and deploying generative AI solutions — RAG architectures, agentic patterns, fine-tuning, embeddings, document intelligence, evaluation frameworks, or computer vision.
  • Experience with Microsoft Fabric for analytics and data engineering workloads.
  • Familiarity with Azure AI services including Azure OpenAI Service, Azure AI Search, and Azure Machine Learning.
  • Proven client-facing consulting experience with the ability to independently lead presales and delivery engagements.
  • Strong presentation and architectural governance skills.
  • Demonstrated understanding of generative AI-assisted development tools and workflows, including GitHub Copilot, Claude Code, or spec-driven development practices, with the ability to apply these tools to accelerate architecture design, code generation, and delivery execution.

Benefits

  • Bonus Plan
  • Medical, Dental and Vision Coverage
  • Life Insurance and Disability Programs
  • Retirement Savings with Company Match
  • Paid Time Off
  • Flexible Work Arrangements including Remote Work

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