Job Closed
This listing is no longer active.
A global cloud-services, systems integrator with leading capabilities across all Microsoft applications and technologies
Solution Architect, Data Science and AI
Location
South Carolina
Posted
27 days ago
Salary
$170K - $200K / year
Seniority
Lead
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
Related Guides
Related Categories
Related Job Pages
More Solutions Engineer Jobs
• Contributes to the development of complex security-centric solution architectures across business, infrastructure, application, and cloud environments. • Identifies and evaluates alternative security architectures and analyzes trade-offs in risk reduction, cost, performance, and scalability. • Produces specifications for cloud or on-premises components with an emphasis on security controls, identity and access management, encryption standards, network segmentation, and compliance requirements. • Designs components using modelling techniques that incorporate security-by-design principles, Zero Trust concepts, and industry frameworks (e.g., NIST CSF, ISO 27001). • Creates multiple design views for stakeholder concerns, including non-functional security requirements, and develops security proof-of-concepts (POCs). • Supports change programs with technical planning aligned to enterprise security architecture standards and regulatory requirements. • Ensures solutions meet data protection and cybersecurity obligations (GDPR, HIPAA, PCI-DSS, SOC 2). • Leads understanding of client security requirements, gathers and analyzes threat/risk data, and provides expert remediation guidance. • Advises clients on security modernization, cloud security, secure application design, and emerging cybersecurity practices. • Recommends new security services and contributes to security go-to-market offerings. • Provides coaching and mentoring to less experienced architects and engineers. • Design and deliver secure architectures for AI-driven and agentic systems (LLMs, RAG, autonomous agents), addressing emerging risks such as prompt injection, data poisoning, and model/data leakage. • Define and implement security controls across the AI lifecycle (data, model, inference, orchestration), embedding governance, identity, and policy into LLMOps/MLOps pipelines. • Advise clients on securing human-to-agent and agent-to-agent interactions, applying zero trust principles and ensuring auditability, compliance, and safe autonomous behavior in production environments.
• Lead end-to-end solution design for enterprise applications built on Java, Spring Boot, and modern front-end frameworks • Partner directly with clients to understand business goals, uncover technical constraints, and architect solutions that balance innovation, scalability, and cost • Define system architectures, integration patterns, data flows, and cloud deployment strategies • Identify opportunities to embed AI/ML capabilities into solutions, including LLM-powered features, intelligent automation, and AI-assisted workflows • Create architectural artifacts such as diagrams, reference architectures, and technical roadmaps • Guide engineering teams through implementation, ensuring alignment with architectural standards and best practices • Evaluate new technologies, frameworks, and AI tools to inform solution strategy • Facilitate technical workshops, discovery sessions, and design reviews with client stakeholders • Ensure solutions meet enterprise requirements for security, performance, reliability, and maintainability • Mentor technical leads and engineers, fostering a culture of technical excellence and continuous improvement
• Influence prospective customers with support onsite and provide remote executive overviews • Be a subject matter expert in all Redzone modules • Lead onsite and remote opportunity assessments for prospective customers • Provide mentorship and development for account executives • Create technical scoping documents and liaise with Project Manager/Implementation teams • Rapidly generate analyses such as ROIs, cashflows, and breakeven analyses • Coordinate completion of RFP / RFQs
Solution Architect, SAP Extended Warehouse Management (SAP EWM)
leogistics GmbHWe challenge the status quo of supply chain management!
• Als Solution Architect SAP EWM (m/w/d) übernimmst Du eine Schlüsselrolle in anspruchsvollen Kundenprojekten rund um die digitale Transformation der Lagerlogistik. • Du verbindest fachliche Anforderungen, technologische Möglichkeiten und architektonische Zielbilder zu Lösungen, die im operativen Alltag funktionieren und langfristig tragfähig sind. • Dabei berätst Du unsere Kunden nicht nur bei der Einführung und Weiterentwicklung von SAP Extended Warehouse Management, sondern gestaltest komplexe Lösungsarchitekturen aktiv mit. • Du gibst in Projekten die fachliche Richtung vor, denkst End-to-End über Prozesse, Systeme und Integrationen hinweg und sorgst gemeinsam mit Projektteams und Kund:innen für passgenaue, zukunftsfähige Lösungen. • Du übernimmst die fachliche und konzeptionelle Verantwortung für anspruchsvolle SAP EWM Projekte und Transformationsvorhaben und gestaltest belastbare Lösungsarchitekturen für moderne Lagerlogistik. • Du analysierst komplexe fachliche und technische Anforderungen, entwickelst daraus tragfähige Zielbilder und berätst unsere Kunden bei der Auswahl sinnvoller Lösungsansätze. • Du konzipierst End-to-End-Lösungen im SAP EWM Umfeld und stellst sicher, dass Prozesse, Systemlandschaft, Integrationen und technologische Umsetzung sinnvoll ineinandergreifen. • Du begleitest Einführungs-, Rollout-, Optimierungs- und Transformationsprojekte im nationalen und internationalen Umfeld, unterstützt unsere Kunden von der Konzeption bis zur erfolgreichen Umsetzung und sicherst dabei eine hohe Lösungsqualität sowie die Einhaltung unserer Qualitätsstandards. • Du steuerst Workshops, fachliche Abstimmungen und Entscheidungsprozesse mit Kund:innen, Stakeholdern und Projektteams und schaffst Orientierung in komplexen Projektsituationen.




