1 month ago
Atlanta, GA, USAStaff+
Base Salary
$139k - $196k/yr
Responsibilities
- Lead AI solution architecture and ensure alignment with client strategies, technical requirements, and best practices.
- Translate business requirements into AI solution scope, value propositions, and scalable architectures.
- Analyze client processes, systems, and data landscapes to identify AI transformation opportunities.
- Lead estimation, technical design, proposal development, and solutioning across pre-sales and delivery.
- Serve as an AI subject matter expert, Solution Architect, or Technical Architect during engagements.
- Provide governance, quality assurance, and best-practice guidance to AI project teams.
- Facilitate client workshops, stakeholder meetings, and pre-sales presentations.
- Develop AI assets, accelerators, and methodologies to improve organizational capability and delivery efficiency.
- Collaborate with global teams and partner ecosystems to share knowledge and scale AI capabilities.
- Work nights, weekends, and holidays when operational needs require it, and travel internationally as needed.
Requirements
- At least 5–7 years of experience in AI, data, or consulting roles.
- At least five years designing and delivering enterprise AI solutions aligned to business outcomes.
- At least five years of experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, and Azure Machine Learning.
- At least five years developing or supporting agentic AI and generative AI solutions.
- At least five years using Python for analytics and software engineering, including modern AI libraries such as LangChain and DSPy.
- At least five years applying data and analytics to business problems, including data preparation and pipeline development.
- At least five years of experience with DevOps, MLOps, SDLC, and Agile development practices.
- At least five years working in client-facing environments involving stakeholder engagement and solution delivery.
- Bachelor’s degree in computer science or a quantitative field, or equivalent experience; alternatives include six years with an associate degree or twelve years without a degree.
- Microsoft Certified AI Engineer certification or equivalent is preferred.
- Preferred qualifications include management consulting or systems integration experience, software or data engineering, solution architecture, Azure Databricks, distributed data processing, streaming and time-series analytics, system integration patterns, and machine learning principles.
- Must be able to write high-quality, production-ready code and operate strategically and tactically in a global environment.
- Strong communication, stakeholder management, analytical, problem-solving, collaboration, and influencing skills are required.
Benefits
- Medical, dental, vision, life, and long-term disability coverage.
- 401(k) plan and bonus opportunities.
- Paid holidays and paid time off.
- The role may require nights, weekends, holidays, and international travel based on operational needs.
- Applicants must already possess the appropriate visas or work permits required to live and work in the job’s country.
Tech Stack
DatabricksPython
Categories
Solutions Engineering
About Avanade
Avanade is the world’s leading expert on Microsoft. Trusted by over 7,000 clients worldwide, we deliver AI-driven solutions that unlock the full potential of people and technology, optimize operations, foster innovation and drive growth. As Microsoft’s Global SI Partner we combine global scale with local expertise in AI, cloud, data analytics, cybersecurity, and ERP to design solutions that prioritize people and drive meaningful impact. We champion diversity, inclusion, and sustainability, ensuring our work benefits society and business.