Applied AI Engineer building evaluation pipelines, production agents, and reliable clinical AI for Tali’s healthcare platform. Owning models, retrieval, routing, and observability across ambient scribe, billing, search, and clinical workflows.
About the role
- AI Architect leading client-facing AI solutions and design across regions for Avanade. Collaborating globally to implement scalable AI strategies aligned with business outcomes.
Responsibilities
- Lead the architecture and design of end-to-end AI and GenAI solutions aligned to client business strategy and measurable outcomes
- Define solution blueprints, reference architectures, and AI roadmaps to guide scalable and repeatable implementations
- Advise clients on GenAI use cases and capabilities, including conversational AI, copilots, RAG-based solutions, and Agentic AI patterns
- Leverage Azure AI Services, Azure OpenAI, and Copilot Studio to shape automation, agent orchestration, and future-state AI operating models
- Serve as a trusted advisor to client business and technology leaders, shaping AI strategy and architectural direction
- Lead architecture discussions and design workshops, translating complex requirements into clear solution approaches
- Support sales pursuits and proposal development through AI solution shaping and executive-facing presentations
- Contribute to internal assets, accelerators, and best practices to scale and differentiate AI offerings
Requirements
- 7–10+ years of experience in the consulting industry, delivering complex, client-facing technology engagements
- At least 2+ years of experience architecting AI solutions, with a clear focus on architecture and strategy rather than development
- Proven experience designing and scaling Generative AI solutions in enterprise environments
- Strong expertise in the Microsoft Azure AI ecosystem, including Azure AI Services, Azure OpenAI, and Copilot Studio
- Solid understanding of RAG, NLP, CLU, conversational AI, and emerging Agentic AI architectures
- Demonstrated ability to translate business requirements into scalable, repeatable AI architectures
- Strong communication and presentation skills with technical and non-technical stakeholders
- Bachelor’s degree in a business or technology-related field, or equivalent professional experience.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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