Solution Architect, Data Science and AI

Location

United States (Remote / Hybrid)

About the Role

The Solution Architect Data Science & AI is a senior client-facing technical leader responsible for designing and governing machine learning advanced analytics and generative AI solutions on Microsoft Azure and Databricks. This role demands deep expertise in data science ML engineering MLOps and Gen AI with enough architectural breadth across infrastructure networking and application development to participate credibly in cross-domain solution conversations. The ideal candidate is equally comfortable whiteboarding a model serving architecture during a presales pursuit as they are reviewing PySpark code evaluating RAG retrieval quality or designing an MLflow experiment tracking strategy.

This role spans the full engagement lifecycle from presales architecture and deal shaping through delivery design assurance ensuring that data science and AI solution intent is preserved from pursuit through implementation. The Solution Architect serves as a trusted technical authority to clients and internal teams alike operating independently to lead workshops shape solutions and contribute to data strategy engagements alongside practice leadership.

Key Responsibilities

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.

Required Qualifications

8 years in data science ML engineering or AI-f

***Travel up to 30-50%***

Qualifications :

Required Qualifications

8 years in data science ML engineering or AI-focused solution architecture roles.

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.

Preferred Qualifications

Ph.D. or Masters degree in Mathematics Statistics Computer Science or a related quantitative discipline.

Experience in regulated industries.

Familiarity with infrastructure and networking concepts enough to collaborate effectively with platform architects on landing zones networking and security.

Experience with data governance frameworks data mesh or data product patterns.

Azure migration and modernization experience for analytics and ML workloads.

Certifications (Preferred)

Databricks Certified Machine Learning Professional or Associate.

Microsoft Certified: Azure Data Scientist Associate.

Microsoft Certified: Fabric Analytics Engineer Associate.

Microsoft Certified: Azure AI Engineer Associate.

***Travel up to 30-50%***

Additional Information :

Base Salary Pay Range*: $170000 - $230000 USD/$155000 - $215000 CAD

*The current applicable Base Salary Pay Range for this role is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills relevant to the role internal equity alignment with market data or other law.

We are an equal opportunity employer. All applicants will be considered for employment without attention to age race color religion sex sexual orientation gender identity national origin veteran or disability status.

All your information will be kept confidential according to EEO guidelines

Other Compensation / Benefit Overview 

In addition to Base Salary the successful candidate may be eligible to participate in the following plans / programs upon satisfying all hiring requirements:  

• 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  

We are an equal opportunity employer. All applicants will be considered for employment without attention to age race color religion sex sexual orientation gender identity national origin veteran or disability status.

All your information will be kept confidential according to EEO guidelines

#LI-JH1

Beware of scams

Our recruiting team may communicate with candidates via our @ domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests.  

All offers will originate from our @ domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain it may not be legitimate.

Remote Work :

Yes

Employment Type :

Full-time