Principal Solutions Consultant (Artificial Intelligence)
- London, United Kingdom
- Lead/Staff
- 10+ years
- Bachelor's degree
- Posted
Skills
Required
- AWS / Azure / AI
- AI Architecture
- presales
- solution consulting / solution architecture / technical consulting
- enterprise AI architecture
- modern AI
- RAG
- agentic systems
- MCP
- model selection/evaluation
- enterprise data architecture
- API interaction
- AI governance
- Oracle
Join Workiva as a Principal Solutions Consultant specializing in Artificial Intelligence. In this high-impact role, you will drive strategic sales by promoting Workiva's AI capabilities and governed platform. You will engage with architects, AI/ML leads, and C-level executives to define Workiva's role in their AI infrastructure, focusing on data governance, integration, and model orchestration. You will also lead the AI technical agenda across pursuits, deliver tailored demonstrations, shape product direction, and represent Workiva in the market.
Conduire des ventes stratégiques en promouvant les capacités d'IA de Workiva et sa plateforme régulée.
Responsibilities
- Définir la position stratégique de Workiva au sein du paysage évolutif de l'IA et des données de chaque organisation.
- Diriger l'agenda technique de l'IA à travers les poursuites, en servant de voix technique senior de l'engagement jusqu'à la clôture de l'accord.
Requirements
- Undergraduate degree or equivalent combination of education and experience in a related field
- 10+ years of technical, customer-facing experience in presales solution consulting, solution architecture, or technical consulting, including a minimum of 3 years focused specifically on enterprise AI architecture
- Reliable internet access for any period of time, working remotely, not in a Workiva office
- AI Architecture & Technical Depth: Hands-on expertise in modern AI (RAG, agentic systems, MCP, model selection/evaluation) and enterprise data architecture. Ability to write clean code for API interaction and perform technical testing for groundedness and quality
- Governance & Security: Understanding of AI governance (NIST, ISO 42001, EU AI Act), security risks (prompt injection, exfiltration), and establishing audit-readiness over machine-generated outputs in regulated environments
- Industry & Financial Domain Expertise: Knowledge of corporate reporting (Finance, GRC, Sustainability) and the office of the CFO. Familiarity with source systems like SAP, Oracle, and Snowflake, plus relevant certifications (AWS/Azure/AI)
- Communication & Strategic Leadership: Proven success articulating architectural visions to C-level executives and representing the company publicly through thought leadership and industry events
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