Responsibilities
- Serve as the primary liaison between business teams and the AI platform team
- Embed within a business line to drive delivery of AI use cases
- Translate business needs into technical requirements and solution designs
- Guide implementation of AI solutions leveraging LLMs, RAG, and related technologies
- Provide hands‑on technical guidance across architecture, tooling, and platform capabilities
- Unblock and accelerate AI initiatives by resolving access, tooling, and process challenges
- Partner with engineering teams to ensure scalable, secure, and compliant implementations
- Communicate priorities, timelines, and constraints across stakeholders
- Drive adoption of enterprise AI platforms and best practices
- Contribute to standardization and scaling of AI solutions across the organization
Requirements
- 6+ years of experience in software engineering, AI/ML engineering, or solution engineering
- Hands‑on experience with Generative AI technologies, including LLMs and RAG
- Strong proficiency in Python and API-based or microservices architecture
- Experience with cloud platforms (Azure and/or AWS)
- Familiarity with Kubernetes and modern engineering environments
- Ability to design and guide implementation of AI solutions in enterprise systems
- Strong communication skills with experience working cross-functionally with business stakeholders
- Proven ability to troubleshoot issues, remove blockers, and accelerate delivery
Hard Skills
- Python
- API
- microservices architecture
- Generative AI
- LLMs
- RAG
- cloud platforms
- Azure
- AWS
- Kubernetes
Soft Skills
- communication
- cross-functional collaboration
- troubleshooting
- problem-solving
- stakeholder management
- guidance
- delivery acceleration
- prioritization
- timelines management
- standardization
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