Y-Hire delivers AI Talent-as-a-Service, embedding fractional, on-demand AI expertise into enterprises to accelerate transformation. We bring curated AI specialists—strategists, engineers, and domain experts—into client teams to close execution gaps and scale impact.
Requirements
- Hands-on expertise in building and deploying machine learning and generative AI solutions.
- Experience integrating AI into enterprise workflows, data ecosystems, and customer-facing products.
- Familiarity with responsible AI, data privacy, and emerging regulatory frameworks.
- Track record of innovation and thought leadership in applied AI.
- Experience with prompt engineering, retrieval-augmented generation (RAG), and fine-tuning models.
- Hands-on proficiency in Python; experience with MLOps platforms, Git.
Responsibilities
- Architect AI Solutions – Design end-to-end AI systems and workflows (e.g., LLM applications, intelligent automation, predictive analytics) aligned to client strategy and KPIs.
- Act as AI Subject Matter Expert – Translate rapidly evolving AI capabilities into business impact. Enable clients to understand how AI toolscan be applied to client challenges.
- Oversee Deployment & Integration – Guide design, prototyping, and scaling of AI-enabled applications, ensuring integration with existing enterprise systems. Lead implementation and enhancement of Crowe-built solutions.
- Mentor & Lead AI Talent Pods – Manage and build your own team of client-embedded talent, providing technical oversight and career coaching for Y-Hire team, including offshore and fractional resources.
- Ensure Quality & Governance – Uphold best practices for model selection, data integrity, prompt engineering, responsible AI, and compliance with emerging regulations.
- Drive Innovation – Identify and pilot emerging technologies and frameworks to continuously enhance Y-Hire’s AI delivery model.
- Support Client Growth – Contribute to proposals, solution roadmaps, and executive presentations. Serve as a thought leader and trusted advisor to client executives.
Other
- Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field (advanced degree preferred).
- 7–10 years of experience in data, AI, or cloud solution architecture, with consulting exposure.
- Proven ability to lead cross-functional delivery teams and manage multiple client engagements simultaneously.
- Strong communication skills—able to simplify technical concepts for executives while providing depth for technical teams.
- Consulting background or prior client-facing advisory roles.
- Comfort leading agile, fast-paced, and distributed delivery teams.
- We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship.
