5 days ago
Boston, MA, USA +21 moreStaff+
Base Salary
$139k - $196k/yr
Responsibilities
- Lead AI solution architecture and ensure alignment with client strategy, technical requirements, and best practices.
- Own and drive sales cycles including opportunity identification, qualification, solution shaping, proposals, pricing inputs, and deal closure.
- Translate business requirements into AI solution scopes, value propositions, and scalable architectures.
- Analyze client processes, systems, and data landscapes to identify AI transformation opportunities.
- Lead estimation, technical design, proposal development, and solution delivery activities.
- Deliver AI engagements as an AI subject matter expert, Solution Architect, or Technical Architect.
- Provide governance, quality assurance, and best-practice guidance across AI project teams.
- Facilitate client workshops, stakeholder meetings, and pre-sales presentations.
- Develop AI assets, accelerators, methodologies, and go-to-market capabilities.
- Collaborate with global teams and partner ecosystems to scale AI capabilities and drive innovation.
Requirements
- At least 8 years of experience in AI, data, or consulting roles, including at least 3 years in client-facing leadership.
- At least 3 years contributing to or leading end-to-end sales cycles involving complex deals.
- At least 5 years designing and delivering enterprise-scale AI solutions, including 3–5 full lifecycle implementations.
- At least 4 years of hands-on experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, and Azure Machine Learning.
- At least 2 years developing or deploying generative AI or agentic AI solutions in production.
- At least 5 years programming in Python for analytics and software engineering, including modern AI libraries such as LangChain and DSPy.
- At least 4 years applying data and analytics to business problems, including data preparation, pipeline development, and distributed system integration.
- At least 3 years working with DevOps, MLOps, SDLC, and Agile development practices.
- At least 5 years in client-facing roles involving stakeholder engagement, workshops, and solution delivery.
- Bachelor’s degree in computer science or a quantitative field, or equivalent experience; candidates without a degree may qualify with 12 years of experience, and candidates with an associate degree may qualify with 6 years.
- Preferred qualifications include Microsoft Certified AI Engineer or equivalent certification, management consulting or systems integration experience, Azure Databricks experience, distributed data processing, streaming and time-series analytics, machine learning principles, enterprise and infrastructure architecture, production-ready coding, and go-to-market or capability-building experience.
- Strong commercial acumen, communication, stakeholder management, problem-solving, strategic thinking, leadership presence, and ability to work strategically and tactically are required.
- Ability to work flexible schedules, travel domestically and internationally, and operate in a global, matrixed environment.
Benefits
- Medical, dental, vision, life, and long-term disability coverage.
- 401(k) plan and bonus opportunities.
- Paid holidays and paid time off.
- Compensation varies by location, with listed U.S. base salary ranges from $139,200–$165,300 to $164,800–$195,700 depending on location.
- The posting is anticipated to remain open until 09/24/2026.
- The role may require evening, weekend, and holiday work and domestic or international travel.
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.