Responsibilities
- AI Roadmap and Strategy
- Industry Awareness and Trend Translation
- Vibe Coding and Rapid Prototyping
- Agentic AI Design and Orchestration
- Data Privacy, Security, and AI Governance
- Stakeholder Engagement and Change Leadership
Requirements
- 7 or more years in technology architecture, solutions consulting, or a closely related discipline, with at least 3 years focused on AI or GenAI solution delivery.
- Demonstrated experience developing AI roadmaps and translating strategic intent into phased, executable plans.
- Hands-on proficiency with LLMs, RAG architectures, vector databases, and prompt engineering in production or near-production contexts.
- Working knowledge of agentic AI design patterns and multi-agent orchestration frameworks.
- Fluency with AI-native development workflows, including agentic IDEs and vibe coding approaches for rapid prototyping.
- Five years of business analysis experience.
- Clear command of AI data architecture and the ability to identify and mitigate privacy and security risks at each stage of an AI pipeline.
- Exceptional communication skills: able to present to a CIO, facilitate a working session with skeptical agency staff, and write clearly for non-technical audiences.
- Proven ability to navigate organizational complexity, build consensus, and lead change in environments with competing priorities or significant resistance.
Nice to Have
- Post-secondary degree in a relevant technical or business discipline.
- Understanding of key data privacy and governance standards including FedRAMP or StateRAMP.
- Experience delivering AI consulting engagements across multiple clients or industries.
- Familiarity with responsible AI frameworks, AI ethics principles, and practical implementation of AI governance policies.
- Experience working with or within state or local government, public sector agencies, or other highly regulated environments.
- Exposure to AI lifecycle management frameworks.
Team
Structure: team
