Gen AI Practitioner-Coach - Enterprise AI Advisory & Knowledge Broker
Posted 5 days 7 hours ago by DWI Consulting Ltd
Contract
Not Specified
Other
Not Specified, Sweden
Job Description
The task will be to work as an adviser to enterprise engineering teams on generative AI systems and architectures through hands-on coaching, mentoring, and knowledge-brokering. Serve as a trusted technical advisor and community facilitator, driving organizational adoption of agentic AI architectures, AI-assisted development workflows, and advanced prompt engineering patterns. Work Embedded within the engineering organization to elevate collective capability and foster sustainable knowledge-sharing practices across teams.
Technical Proficiency:
- Enterprise LLM APIs and orchestration frameworks
- AI-assisted coding tools and agentic development paradigms
- Cloud platforms (Azure preferred)
- Python and TypeScript/JavaScript
- Source control systems and collaborative development practices
- Community-of-practice facilitation and knowledge-transfer methodologies
Desired Candidate Attributes:
- Coaching mindset: Advise and guide teams without imposing design decisions; ask powerful questions and enable discovery
- Collaborative spirit: Embed naturally within large engineering organizations; mentor and support distributed teams
- Proven expertise: 10+ years overall engineering experience; 3+ years specialized in generative AI systems
- Hands-on capability: Can write, review, and reason about code; comfortable pairing with engineers
- Learner's mindset: Stay current with rapidly evolving GenAI landscape; experiment and iterate
- Communication skills: Articulate complex technical concepts to diverse audiences; facilitate workshops and knowledge sessions
- Systems thinking: Understand how agentic systems interact with existing enterprise infrastructure and workflows
- Initiative: Self-directed; comfortable identifying improvement opportunities and proposing solutions
Additional Information:
- Enterprise LLM endpoints (company API subscription)
- Licensed AI coding tools (GitHub Copilot, Cursor, or Claude Code)
- GitHub, Jira, Microsoft Teams, SAP Fieldglass
- Standard developer environment and VPN access
Key Deliverables:
- Technical assessments and maturity evaluations
- Coaching sessions on agentic architectures and prompt engineering
- Code reviews and pair programming support
- Community of practice facilitation
- Best practice documentation and knowledge transfer