Pre-Sales Solution Architect - Data & AI

Pre-Sales Solution Architect - Data & AI
_Keystone AI 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, Keystone AI 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, Keystone AI 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 Keystone AI recognition by_ _Forbes as one of the top 10 AI consulting companies worldwide__._
_As part of_ _KMS Technology__, a US-based global technology group, Keystone AI 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:
– 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.
– 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.
– 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.
– 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.
– 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.
– 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.
– 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.
– 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.
What you bring:
– 8+ years in solution architecture, data architecture, or pre-sales, with at least 4 years specifically designing enterprise data platforms and analytics solutions.
– Deep, 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, as well as emerging technologies in data and AI.
– Proven design experience with batch and streaming pipelines using tools such as dbt, Airflow, Fivetran, Spark, Kafka, Kinesis, Flink, or equivalents.
– Working knowledge of lakehouse and data mesh principles, open table formats (Delta, Iceberg, Hudi), and the trade-offs between centralized and federated data architectures.
– Practical experience designing AI/ML and GenAI data foundations — feature stores, vector databases, RAG pipelines, embedding strategies, and MLOps integration points.
– Skilled at delivering innovative yet practical solutions that are secure, reliable, and scalable for real-world applications.
– Comfortable working closely with engineering, business teams, and cloud channel partners to shape and align solutions with strategic customer goals.
– Experienced in requirements gathering, RFP/RFI responses, and delivering compelling technical presentations to both executive and technical stakeholders.
– Strong communication and interpersonal skills, with the ability to simplify and clearly explain complex technical concepts to diverse audiences.
– Willingness to travel up to 30% for client workshops, technical discovery sessions, and stakeholder engagements.
🎁 Discover our perks and benefits:
– Work in a supportive team of passionate enthusiasts of AI & Big Data.
– Engage with top-tier global enterprises and cutting-edge startups on international projects.
– Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
– Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
– Choose your preferred form of cooperation - B2B or a contract of mandate - and enjoy 20 fully paid days off.
– Participate in team-building events and utilize the integration budget.
– Celebrate work anniversaries, birthdays, and milestones.
– Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
– Get full work equipment for optimal productivity, including a laptop and other necessary devices.
– With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
– Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Are you interested in Keystone AI and would like to join us?
Get in touch! We are looking forward to receiving your application. Would you like to know more about us?
Visit our website (career page) and social media (Facebook, LinkedIn, Instagram).