Job Description
Company Description
Hitachi Solutions is a global Microsoft solutions integrator passionate about developing and delivering industry-focused solutions that support our clients to deliver on their business transformation goals. Our industry focus, expertise, and intellectual property is what truly sets us apart. We have earned, and continue to maintain, a strategic relationship with Microsoft. Recognized for our achievements - teaming with our clients to deliver innovative digital solutions and services - is how we have achieved year after year recognition.
As their trusted advisor, we support our clients to deliver on their strategic business initiatives as they unify, automate, and modernize their data and operations to increase efficiency, reduce costs, and enhance their customer’s experience. Our over 3,000 team members across 14 countries, and our 18 years of 100% focus on Microsoft technologies and business applications, is how we deliver excellence through expert services and industry-focused cloud solutions.
A part of Hitachi, Ltd., our company has a long and rich history of innovation, financial strength, and international presence of one of the world’s largest companies. Since 1910, Hitachi, Ltd. has been a leader in manufacturing innovative products and solutions that support industry and social infrastructure around the globe supported by 303,000 employees in over 100 countries and across 864 companies.
Hitachi Solutions is a global Microsoft solutions integrator passionate about developing and delivering industry-focused solutions that support our clients to deliver on their business transformation goals. Our leadership in Global Dynamics 365 Field Service and Manufacturing is what truly sets us apart and enables us to maintain a strategic relationship with Microsoft.
Job Description
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 Master’s 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*: $170,000 - $230,000 USD/$155,000 - $215,000 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 @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) [email protected] domain email address regarding your application and interview requests.
All offers will originate from our @hitachisolutions.com 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.
