Pre-Sales Solution Architect - Data & AI

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for large enterprises and startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. The company specializes exclusively in Artificial Intelligence and Big Data, helping organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. Addepto is part of KMS Technology, a US-based global technology group, combining deep AI specialization with enterprise-scale delivery capabilities.

• 8+ years in solution architecture, data architecture, or pre-sales, with at least 4 years designing enterprise data platforms and analytics solutions.
• Hands-on architectural expertise in at least two of: Databricks, BigQuery, Redshift, Microsoft Fabric, including workload sizing, cost modeling, and migration strategy.
• Deep expertise in designing and presenting end-to-end enterprise solutions using cloud platforms like AWS, Azure, and GCP.
• Proven design experience with batch and streaming pipelines using tools such as dbt, Airflow, Fivetran, Spark, Kafka, Kinesis, or Flink.
• Working knowledge of lakehouse and data mesh principles, open table formats (Delta, Iceberg, Hudi), and trade-offs between centralized and federated data architectures.
• Practical experience designing AI/ML and GenAI data foundations including feature stores, vector databases, RAG pipelines, embedding strategies, and MLOps integration.
• Skilled at delivering secure, reliable, and scalable solutions for real-world applications.
• Experience working closely with engineering, business teams, and cloud channel partners.
• Experienced in requirements gathering, RFP/RFI responses, and delivering technical presentations to executive and technical stakeholders.
• Strong communication and interpersonal skills.
• Willingness to travel up to 30% for client workshops and engagements.

• Lead data-centric discovery focusing on data estates, source systems, latency, quality, analytics maturity, and AI readiness, translating findings into target-state architectures.
• Design modern data platforms with reference architectures spanning ingestion, storage, transformation, semantic, and consumption layers on platforms like Snowflake, Databricks, BigQuery, Redshift, or Microsoft Fabric.
• Architect AI solutions including feature stores, vector stores, retrieval pipelines, and ML/LLM data foundations for production GenAI and predictive use cases.
• Build credible proofs of concept around data migration, real-time pipelines, governed self-service analytics, or RAG/agentic patterns.
• Own the technical narrative by leading RFx responses, SOWs, and proposals for data and AI opportunities, including sizing, sequencing, and risk framing.
• Present at executive briefings, architecture deep dives, and solution workshops to data leaders and engineering audiences.
• Embed data governance, lineage, quality, and privacy (HIPAA, GDPR, CCPA, SOC 2) into every blueprint as a first-class design constraint.
• Provide technical leadership and mentorship across pre-sales and data practice, partnering with delivery leads for clean handoffs and peer uplift.