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AI Consultant
Ref No.: 26-00051
Location: Malvern, Pennsylvania
Position Type:Contract
Role: AI Consultant
Location: Malvern, PA (Hybrid- 3 days)
Contract Role

Responsibilities
AI Strategy & Opportunity Discovery
  • Collaborate with product owners, business partners, and engineers to surface AI/GenAI opportunities aligned to investment management objectives (ETFs, IMG operations, data workflows).
  • Assist in shaping AI strategy within Investment Systems, including prioritization of use cases, value assessment, and alignment to business goals.
  • Evaluate where AI can enhance efficiency, decision support, or process automation across investment and operational domains.
  • Rapid Experimentation & Prototyping
  • Drive quick turn proof of concepts and prototypes to test feasibility and value.
  • Convert successful experiments into actionable recommendations and partner with engineering teams to implement solutions.
  • Leverage GenAI frameworks, automation tooling, and cloud based AI services to build practical demonstrations.
  • SDLC & Operational Efficiency
  • Identify opportunities to improve the SDLC using AI (AI assisted development, automated documentation, enhanced testing, workflow insights).
  • Support teams in adopting AI enabled engineering practices and promote consistency with enterprise standards.
  • Consultation & Influence
  • Translate ambiguous or complex business problems into clear, data informed solution options.
  • Communicate insights and recommendations to partners with clarity and strategic framing.
  • Help build awareness and understanding of AI capabilities, risks, and constraints across Investment Systems.
Qualifications
  • 8+ years of related experience, including 5+ years working with AI/ML, GenAI, analytics, or automation solutions.
  • Demonstrated experience in investment management, ETFs, index operations, trading workflows, or similarly data driven financial environments.
  • Strong ability to prototype quickly and move from idea → experiment → validated recommendation.
  • Hands-on experience with GenAI tools, cloud-based AI/ML services (AWS preferred), or automation frameworks.
  • Solid understanding of SDLC practices and modern engineering workflows.
  • Strong problem solving, communication, and consulting skills.
  • Bachelor's degree required; advanced degree preferred.
Preferred Qualifications
  • Background in applying AI and automation to operational or investment processes.
  • Experience with AI assisted developer tools (e.g., GitHub Copilot, Claude Code) or workflow automation platforms.
  • Familiarity with investment datasets, ETF and/or Investment Management operational flows, and risk/compliance expectations.