- Company Name
- Randstad Digital Americas
- Job Title
- AI Consultant, Specialist
- Job Description
-
Job Title: AI Consultant – Specialist
Role Summary:
Design and execute AI/GenAI strategies for investment management operations, identifying opportunities across ETFs, index management, and operational workflows. Drive rapid prototyping, convert experiments into actionable recommendations, and embed AI‑enhanced practices within SDLC to improve efficiency and decision support.
Expectations:
- 5–8+ years of relevant experience, with 2–3+ years in AI/ML, GenAI, analytics, or automation.
- Proven track record in financial or data‑driven environments, particularly investment management, ETFs, or trading workflows.
- Ability to prototype quickly, evaluate feasibility, and translate outcomes into validated business recommendations.
- Hands‑on experience with GenAI tools, cloud‑based AI/ML services (AWS preferred), and automation frameworks.
- Strong SDLC and modern engineering workflow knowledge, with experience in AI‑enabled development practices.
Key Responsibilities:
- Collaborate with product owners, business partners, and engineers to surface AI/GenAI opportunities aligned to investment objectives.
- Shape AI strategy within Investment Systems, prioritizing use cases, assessing value, and ensuring alignment to business goals.
- Evaluate AI’s potential to enhance efficiency, decision support, and process automation across investment and operational domains.
- Lead rapid proof‑of‑concept development and prototyping, leveraging GenAI frameworks, automation tooling, and cloud AI services.
- Convert successful experiments into actionable recommendations and partner with engineering teams for implementation.
- Identify and implement AI‑driven improvements to the SDLC, including AI‑assisted development, automated documentation, enhanced testing, and workflow insights.
- Support teams in adopting AI‑enabled engineering practices and enforce consistency with enterprise standards.
- Translate complex business problems into clear, data‑informed solution options and communicate insights and recommendations strategically.
- Build awareness and understanding of AI capabilities, risks, and constraints across Investment Systems.
Required Skills:
- AI/ML and GenAI development (model training, fine‑tuning, inference).
- Cloud AI/ML services (AWS SageMaker, Lambda, etc.) and GenAI frameworks (OpenAI, Claude, etc.).
- Rapid prototyping tools and experimentation pipelines.
- SDLC best practices, DevOps, and CI/CD pipelines.
- Strong analytical, problem‑solving, and consulting abilities.
- Excellent communication and stakeholder management skills.
- Familiarity with investment datasets, ETF structures, and regulatory/compliance considerations.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Engineering, Finance, or related field (advanced degree preferred).
- Relevant certifications (e.g., AWS Certified Machine Learning – Specialty, Azure AI Engineer Associate, or equivalent) are advantageous.