Snowflake logo
Snowflake

Snowflake delivers the AI Data Cloud to help organizations share data, build apps and power their business with AI.

Senior Solutions Architect – AI/ML, Services Delivery

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 2012H1B SponsorCompany SiteLinkedIn

Location

North Carolina

Posted

8 days ago

Salary

$160K - $210K / year

Seniority

Senior

Job Description

Senior Solutions Architect – AI/ML, Services Delivery

Snowflake

• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload and provide customers with best practices given Snowflakes technology stack. • Work with customers to understand their AI/ML use case, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery. • Understand how to build, deploy and AI and ML pipelines using Snowflake features and/or Snowflake ecosystem based on customer requirements. • Work hands-on where needed using SQL, Python, and Cortex AI features to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the AI/ML workload. • Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own • Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them • Provide guidance on how to resolve customer-specific technical challenges. • Support other members of the Services Delivery team develop their expertise. • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

Job Requirements

  • Minimum 5 years experience working with customers in a pre-sales or post-sales technical role.
  • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Thorough understanding of the common generative AI and agent lifecycles including document ingestion, vector embedding selection, llm selection and optimization, genAI monitoring and evaluation techniques.
  • Thorough understanding of the complete ML life-cycle including feature engineering, model development, model deployment and model management.
  • Strong understanding of AI/MLOps, coupled with technologies and methodologies for deploying and monitoring models and agents.
  • Experience and understanding of at least one public cloud platform (AWS, Azure or GCP)
  • Experience with at least one AI/ML platform such as AWS Sagemaker, Databricks, GCP and Vertex AI, AzureML, Dataiku, Datarobot, etc.
  • Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.
  • Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn, LangChain/LangGraph, LlamaIndex or similar.
  • University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience.

Benefits

  • Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties.

Related Categories

Related Job Pages

More Solutions Engineer Jobs

Docker, Inc logo

Staff Solutions Engineer – Japan

Docker, Inc

Docker helps developers bring their ideas to life by conquering the complexity of app development.

Full TimeRemoteTeam 51-200H1B No Sponsor

• Enable and co-sell with Docker's channel partner SE team to deliver local-language technical coverage across Japan. • Run joint partner workshops, technical enablement sessions, and solution briefings to build partner SE capability. • Support partner-led opportunities with architectural depth, PoC support, and competitive differentiation. • Develop and maintain partner-ready technical assets in Japanese: demo environments, reference architectures, and enablement decks. • Build strong working relationships with key distributor and reseller contacts to support pipeline development. • Build Docker's technical presence in the Japanese developer and DevSecOps community. • Speak at industry and partner-organised conferences. • Produce Japanese-language technical content: blog posts, how-to guides, and solution briefs that address local-market gaps in Docker documentation and community resources. • Represent Docker at meetups, developer days, and hackathons to drive awareness and top-of-funnel interest. • Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI teams at strategic accounts to understand: • AI governance requirements and agentic development workflows • Software supply chain risk and secure build pipeline needs • Regulatory and compliance drivers relevant to the Japanese market • Container security posture and DevSecOps maturity • Design, position, and execute structured PoCs/PoVs with clear success criteria and executive-ready value summaries. • Influence buying decisions through demos, workshops, architecture reviews, and technical executive briefings. • Translate Docker's AI security and governance capabilities into business value narratives for CISOs, Heads of Platform Engineering, and AI leaders. • Build and maintain relationships with technical champions across Security, DevOps, Platform, and AI teams at key accounts. • Support renewal and expansion motions by maintaining engagement beyond initial sale on key accounts. • Position and demonstrate Docker's AI portfolio as the governance and security layer for modern AI-native development: • Docker MCP Gateway: policy enforcement for MCP tool calls in agentic AI development workflows • Docker AI Governance (GA May 2026): model lifecycle management, AI workload governance, and compliance controls • Docker Hardened Images (DHI): secure, continuously patched base images for AI model serving and application containers • Docker Sandbox (SBX): free microVM-based agent isolation for developer-facing AI coding workflows • Guide customers in implementing AI governance controls across their SDLC, with particular focus on securing agentic development environments. • Act as a subject matter expert on secure software supply chain, container security, and AI security trends in customer-facing and community engagements. • Provide architectural guidance for policy-as-code enforcement, identity and access governance for AI workloads, and SBOM visibility. • Develop reusable technical assets — workshops, demos, reference architectures, and Japanese-language enablement content — to scale impact across the channel and direct accounts. • Advocate for Japan customer and partner needs with Product and Engineering, providing structured feedback from field experience.

Japan
Domino Data Lab logo

Solution Architect

Domino Data Lab

The Enterprise MLOps platform powering over 20% of the Fortune 100

Full TimeRemoteTeam 201-500Since 2013H1B Sponsor

• Design and deliver solution architectures that integrate Domino into customer IT landscapes across infrastructure, data, identity, and security. • Build, test, and document new field integrations with ecosystem technologies, and enable the broader Solutions team on them. • Partner with account and sales-engineering teams on scoping, custom demos, and proofs of concept that address real customer use cases. • Create reproducible, well-tested artifacts — reference architectures, integration templates, runbooks — that improve delivery consistency. • Gather field requirements and feature requests and translate them into actionable input for Product and Engineering. • Continuously grow across cloud, Kubernetes, data, and AI/ML tooling, applying new skills directly in customer solutions.

United States
$180K - $220K / year
Excelya logo

Clinical Solution Architect, eTMF

Excelya

Expertly delivering clinical trials operations, with care.

Full TimeRemoteTeam 501-1,000Since 2014H1B No Sponsor

Join Excelya, a dynamic and innovative company committed to excellence and collaboration in the field of translational research. The **eTMF Specialist** plays a key role within the Clinical Development Platform by ensuring the **quality, compliance, and inspection readiness** of the electronic Trial Master File (eTMF) across global clinical trials. This role requires strong expertise in **clinical documentation management**, close collaboration with cross‑functional teams, and active involvement in audits and inspections within a regulated environment. **Key responsibilities :** - Led the implementation and configuration of Veeva Vault Clinical applications, including **eTMF, CTMS, Study Startup (SSU), Payments, and Site Connect**. - Facilitated requirements gathering workshops and translated business needs into scalable and compliant system solutions. - Designed and configured Vault solutions aligned with clinical operations processes and regulatory requirements. - Managed system validation activities, including test planning, UAT coordination, defect tracking, and compliance documentation. - Oversaw data migration and system integration projects, ensuring data quality and seamless interoperability with external systems. - Developed and delivered end-user and administrator training programs, supporting user adoption and change management initiatives. - Advised stakeholders on best practices, configuration options, and alternative solutions to optimize business processes and system performance. - Partnered closely with client project teams across global pharmaceutical companies and SMEs to ensure successful project delivery and compliance with **ICH-GCP** and **GxP** standards.

France
DGR Systems logo

Associate Engineer – M365 Solutions

DGR Systems

Excellence is our baseline, service is our passion!

Full TimeRemoteTeam 51-200Since 2009H1B No Sponsor

• Support Microsoft 365 customer environments through assigned engineering tasks, basic administration, and ticket-based work. • Assist Engineers and Senior Engineers with customer engagements, project activities, assessments, and implementation support. • Perform surface-level tenant reviews, basic health checks, configuration validation, and research using provided guidance, standards, and checklists. • Document technical findings, configuration notes, ticket activity, project contributions, and work completed. • Follow DGR delivery standards, engineering practices, escalation paths, and documented procedures. • Pursue Microsoft certifications, technical training, and hands-on learning aligned to progression toward Engineer and Senior Engineer responsibilities.

Florida