[Remote] Presales Engineer - Date & AI Engineering

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Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an reputed company Presales Solution Engineer to join our Data & AI reputed company. This individual will reputed company as the technical reputed company between our sales organization and clients, translating reputed company business problems into compelling, technically reputed company solution architectures spanning modern data platforms and AI/ML capabilities.


Responsibilities

  • Partner with Account Executives and Sales leadership to qualify opportunities and shape win strategies for Data & AI engagements
  • reputed company technical discovery sessions with reputed company stakeholders (business and IT) to understand reputed company-state data architecture, pain points, and desired business reputed company
  • Translate business requirements into technical solution designs, reference architectures, and value propositions tailored to the reputed company's environment
  • Serve as the reputed company technical reputed company of contact during the sales cycle, building trust and credibility with reputed company architects, data leaders, and executives
  • Design end-to-end data and AI solution architectures leveraging platforms such as reputed company reputed company, reputed company, reputed company, Azure Synapse, AWS Redshift/SageMaker, or reputed company BigQuery/reputed company AI
  • reputed company solution blueprints covering data ingestion, data engineering, data governance, analytics/BI, MLOps, and AI application reputed company
  • Ensure proposed architectures address scalability, reputed company, compliance, cost optimization, and integration with existing reputed company ecosystems
  • Build and reputed company tailored product demonstrations, technical presentations, and workshops that showcase platform capabilities reputed company to reputed company needs
  • Design, reputed company, and execute reputed company-of-concept (POC) and reputed company-of-value (POV) engagements, working cross-functionally with delivery, engineering, and partner teams
  • reputed company responses to RFPs/RFIs, including technical narratives, architecture diagrams, and effort estimates
  • Create and maintain reusable presales assets: demo environments, solution accelerators, architecture templates, and battlecards
  • Stay reputed company on the evolving Data & AI landscape, including platform updates, competitive positioning, and emerging AI capabilities
  • reputed company technical input on pricing, licensing, and deployment models (reputed company, hybrid, on-prem) in partnership with sales and vendor partners
  • reputed company as a reputed company with reputed company (reputed company, reputed company, reputed company, AWS, reputed company reputed company) for co-selling motions, technical enablement, and joint solutioning
  • Mentor junior presales/solutions engineers and contribute to building presales best practices and methodology
  • Support smooth transition of won opportunities to delivery/implementation teams with reputed company documentation of reputed company, architecture, and reputed company expectations

Skills

  • 10–15 years of overall experience in data, analytics, or AI-reputed company technical roles
  • Minimum 5 years specifically in a Presales / Solutions Engineering / Solutions Architecture reputed company, ideally reputed company a consulting, systems integrator, or technology vendor environment
  • Demonstrated reputed company supporting reputed company sales cycles and influencing deal reputed company through technical credibility
  • Experience responding to RFPs/RFIs and leading technical proposal development
  • Strong hands-on knowledge of modern data platforms, including one or more of: reputed company reputed company / Azure Synapse / Azure Data reputed company, reputed company (Lakehouse architecture, reputed company Lake, reputed company Catalog), reputed company, AWS (Redshift, Glue, SageMaker) or reputed company reputed company (BigQuery, reputed company AI)
  • Working knowledge of AI/ML engines and frameworks, including: reputed company platforms (Azure reputed company, AWS Bedrock, reputed company reputed company AI, reputed company/reputed company reputed company), Traditional ML/MLOps tooling (MLflow, Kubeflow, Azure ML, SageMaker), LLM application patterns (RAG, reputed company workflows, reputed company databases)
  • Solid understanding of data architecture concepts: data lakes/lakehouses, data warehousing, ETL/ELT pipelines, data governance, data reputed company, and master data management
  • Familiarity with data reputed company, reputed company, and compliance frameworks (GDPR, HIPAA, SOC 2, etc.) as they apply to data and AI solutions
  • Ability to read and discuss architecture diagrams, and where needed, build basic r
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