Lead independent validation and challenge of AI/ML and generative AI models across Vanguard’s enterprise, ensuring sound governance and risk compliance.
Responsibilities
Assess models and systems using generative AI throughout their lifecycle
Provide effective challenge of model assumptions, methodologies, data, testing, implementation, monitoring and limitations
Assess compliance with internal AI standards and regulatory requirements
Ensure timely execution of model validation and high‑quality reports
Develop, maintain and enhance validation procedures
Requirements
PhD in a quantitative discipline such as Computer Science, Mathematics, Statistics, Physics, Engineering or equivalent
Provide architecture leadership across platform engineering and modernisation, translating strategic technology direction into scalable engineering solutions.
Responsibilities
Own and guide architecture for strategic platform and modernisation initiatives.
Define architecture patterns, technical standards and engineering guardrails.
Lead architecture decisions for complex, cross-team technology initiatives.
Partner with engineering teams to translate architecture into executable solutions.
Review solution designs for scalability, resilience, security, maintainability and operational readiness.
As an Advisory Solution Consultant - CRM & Agentic AI for the German market, you are the technical face of a fundamentally different way of selling, involving embedding alongside customers, running deep Discovery, and building working Proof of Value (POV) using customer data and Agentic workflows.
Responsibilities
Partner with Sales as the embedded technical lead to drive transformational CRM opportunities.
Lead rigorous Discovery to isolate a single, high-value problem worth solving, mapping the customer’s data, systems, and desired outcome.
Keep product demonstration minimal and purposeful to establish credibility.
Secure and scope a POV by earning customer sponsorship for a hands-on cycle.
Build and deliver the POV as an embedded engineer — configuring Agentic workflows against the customer’s environment.
Lead discovery and proof‑of‑value engagements for the German market, embedding as a technical consultant to demonstrate AI‑powered CRM solutions on customer data.
Responsibilities
Partner with Sales as the embedded technical lead to drive transformational CRM opportunities
Lead rigorous Discovery to isolate a single, high‑value problem and map customer data
Keep product demonstration minimal and purposeful
Secure and scope a POV, earning customer sponsorship for a hands‑on cycle
Build and deliver the POV as an embedded engineer, configuring Agentic workflows
Lead the Center for AI Enablement, driving AI integration, strategy, compliance, and operational excellence across the university’s campuses.
Locations (2)
Glendale, Arizona, United States
Downers Grove, Illinois, United States
Responsibilities
Establish and maintain the AI community of practice
Partner with ERP transformation team to automate operations
Mitigate distributed IT and reduce redundant software licenses
Co‑direct discovery sessions and listening tours
Draft and implement institutional AI policy frameworks
Requirements
Bachelor's degree in Instructional Design and Technology, Higher Education Leadership, Educational Technology, Healthcare Informatics, or related discipline
Master’s degree preferred
Nice to have: 8+ years leadership experience in higher education technology
Lead the architecture, design, and implementation of high-performance backend systems for Akamai’s API Team.
Compensation
For US based candidates only - the base salary for this position ranges from $146,400 - $263,600/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP).
Responsibilities
Architect high-performance REST APIs and service layers using Python and Flask
Design robust schemas and optimize database queries using SQLAlchemy
Lead technical design reviews and mentor junior and mid-level engineers
Implement authentication, rate limiting, and observability across distributed backend services
Design fault-tolerant backend services with circuit breakers and defensive validation
Lead the design and implementation of agentic workflows within Snowplow’s Applied AI platform, working closely with business functions to map processes, build agents, and hand off sustainable solutions.
Locations (2)
Boston, Massachusetts, United States
Massachusetts, United States
Responsibilities
Map current workflows and document process flows
Build agentic workflows using Snowplow’s shared factory framework
Validate and tune agents with domain experts
Coordinate handoff and ongoing support for deployed solutions
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