Pre-Sales Solution Architect - Data & AI

Addepto is a leading AI consulting ( https://addepto.com/ai-consulting/ ) and data engineering ( https://addepto.com/data-engineering-services/ ) company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company’s work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product – ContextClue – and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide .

As part of KMS Technology , a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

We're seeking a seasoned Pre-Sales Solution Architect with deep data architecture expertise to shape high-impact data and AI solutions for prospective and existing clients. Working closely with Sales, Data Engineering, and AI/ML practice leads, you'll own the technical narrative for opportunities centered on modern data platforms, analytics modernization, data governance, and AI-ready data foundations.

You'll serve as a trusted advisor on what it actually takes to move clients from fragmented data estates to lakehouse, data mesh, or domain-aligned architectures that power analytics, operational intelligence, and production AI. Your focus will span enterprise and high-growth clients — including large ISVs, healthcare innovators, and digital-native businesses — primarily in the U.S. and Europe, many of whom are consolidating data platforms, migrating off legacy warehouses, standing up AI/ML capabilities.

This is a dynamic, client-facing role for someone who can move fluently between a CDO's strategy conversation and a data engineering whiteboard.

What you'll do

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Lead Data-Centric Discovery: Run technical discovery focused on data estates, source systems, latency and quality requirements, analytics maturity, and AI readiness — translating findings into target-state architectures.

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Design Modern Data Platforms: Produce reference architectures spanning ingestion, storage, transformation, semantic, and consumption layers on Snowflake, Databricks, BigQuery, Redshift, or Microsoft Fabric — including lakehouse, medallion, data mesh, and event-driven patterns.

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Architect for AI: Design feature stores, vector stores, retrieval pipelines, and ML/LLM data foundations that move clients from experimentation to production GenAI and predictive use cases.

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Build Credible PoCs: Scope and deliver high-signal proofs around data migration, real-time pipelines, governed self-service analytics, or RAG/agentic patterns that demonstrate value in weeks, not quarters.

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Own the Technical Narrative: Lead RFx responses, SOWs, and proposals for data and AI opportunities — including sizing, sequencing, and risk framing for multi-phase modernization programs.

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Be the Face of Innovation: Present at executive briefings, architecture deep dives, and solution workshops, earning trust with data leaders (CDO, CDAO, VP Data, Head of Analytics) and engineering audiences alike.

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Govern by Design: Embed data governance, lineage, quality, and privacy (HIPAA, GDPR, CCPA, SOC 2) into every blueprint — not as an afterthought, but as a first-class design constraint.

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Lead and Mentor: Provide technical leadership across the pre-sales and data practice, partnering with delivery leads on clean handoffs and uplifting peers on modern data