AI Solutions Lead (4906)

cBEYONData + SMX is seeking an AI Solution Lead - Hands-on Delivery to lead a small AI cell that enables and accelerates AI adoption across multiple project teams (e.g., business exploration/requirements, community transformation, delivery teams). You will listen to each team’s needs, translate them into a cohesive set of AI objectives and KPIs, and then build and promote reusable patterns (templates, automations, reference solutions) that teams can adopt. This is a player/coach role: you will still build—hands-on—while coordinating and influencing across the program. 

Responsibilities 

• Cross-team AI enablement: Partner with other team leads to understand needs, identify opportunities, and remove blockers 

• AI objectives & KPIs: Define and socialize practical AI objectives (e.g., cycle-time reduction, quality improvements, adoption) and establish KPIs/measurement approaches; refine them as teams learn. 

• Use-case intake & prioritization: Run an intake process (lightweight) to capture ideas, size effort, assess risk, and prioritize work for the AI cell (and recommend what other teams can implement independently). 

• Reusable solution patterns: Create repeatable AI building blocks: prompt/playbook standards, RAG patterns, governance checklists, evaluation approaches, and “how-to” guides. 

• Hands-on delivery: Build and ship select high-impact AI workflows/automations—especially those that require shared data access, deeper integration, or higher governance. 

• Palantir Foundry-centered implementation (preferred): Where applicable, implement AI workflows and data patterns in Palantir Foundry and help teams use those patterns effectively. 

• Community of practice: Facilitate a simple cadence (show-and-tell, office hours, examples library) so multiple teams can share learnings and scale adoption. 

• Guardrails & risk partnership: Coordinate with security/data owners to ensure safe use (data classification, access controls, auditability) and provide guidance to teams implementing AI. 

• Change enablement: Promote successful use cases, publish quick wins, and drive adoption through training, comms, and “starter kits.” 

 

Required qualifications 

• Demonstrated performance in a solution delivery roles (data/automation/software), including applying AI/LLMs in production or enterprise settings. 

• Demonstrated hands-on capability: prototype → harden → operate. 

• Strong understanding of applied LLM patterns (prompting, RAG, tool use, evaluations, safety/guardrails). 

• Experience working through influence across multiple teams and stakeholders (setting standards, aligning on metrics, enabling adoption). 

• Strong communication and facilitation skills (turn ambiguity into workable plans and artifacts). 

• 8 total years of experience + Bachelor’s degree (some substitutions accepted) 

 

Preferred qualifications 

• Experience with Palantir Foundry (pipelines, Ontology, Workshop/Contour, operational workflows). 

• Experience in regulated environments (auditability, least privilege, data governance). 

• Familiarity with ERP/business workflows (SAP or similar) and/or process transformation. 

• Practical experience establishing measurement for automation/AI programs (adoption, time saved, quality, risk). 

 

Success looks like (first 90 days) 

• Stakeholder map + listening tour completed; clear, shared understanding of where AI helps each team most. 

• A published set of