5+ years technical pre-sales or technical consulting experience
OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience
OR equivalent experience.
Additional or Preferred Qualifications
6+ years technical pre-sales, technical consulting, or technology delivery, or related experience
OR equivalent experience.
4+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
Certification in relevant technologies or disciplines (e.g., Office 365, Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture).
Experience and skills with Azure Data and AI services or equivalent compete experience.
Knowledge of the AI open-source ecosystem
Knowledge of Cognitive Services, Azure Cognitive Search and Azure Open AI (including Speech, Vision, Translation etc.) or equivalent compete experience.
Knowledge of Prompt Engineering, LLM fine turning, and chaining technology (e.g., LangChain, Semantic Kernel) expertise
Knowledge of large language model (LLM) and Foundational models toolsets
Experience with implementing Retrieval Augmented Generation (RAG) architectures.
Competitive Landscape: Knowledge
Relationship Building: Proven track record of building deep technical relationships with executives. Experience in managing various stakeholder relationships to get consensus on solution/projects. The ability to influence and build relationships across technical and business teams.
Communicator: Demonstrates executive presence, presentation skills, deep technical product demo abilities, written and verbal communication skills.
Collaborative: Works cohesively with customers, the Microsoft account team, and Microsoft partners. Helps others succeed by identifying and promoting innovative solutions and strategies.
Responsibilities
Own technical discussions for Data & AI with customers leveraging processes and tools, demos, and programs; use consultative and/or Challenger method; establish rules of engagement (e.g., role boundaries, handoff strategies) for extended teams.
Build strategy: map the agreed customer vision into a strategy, resolve concerns, preventing, and removing technical blockers, and validating a business case for investment and translated technology complexity into business impact. Work with the customer, account team, and partners to orchestrate a roadmap for implementation.
Drive technical assessments to create a map of the current landscape and to build the technical Data & AI platform roadmap, value-based prioritization of key usecases.
Design the solution using your technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs. Ensure technical decision makers agree with proposed architecture and measures of success. Drive POCs and MVPs.
Scale through partners, acting as liaison between the partner and account team, facilitating partner resources and processes; supporting partner technical capacity by identifying skill and resource gaps and providing feedback to internal teams.
Be the Voice of Customer to share insights and best practices, connect with the Engineering team to remove key blockers and drive product improvements.
Identify and support the creation of new pipeline within customer engagements in collaboration with the Specialist.