TA for AI
Questions I Don’t Know the Answer to
Section titled “Questions I Don’t Know the Answer to”- What will the prevailing business model be for software that incorporates agents?
Things that Are Important
Section titled “Things that Are Important”- Task or persona-specific agents will be important.
- Fine-tuned Models will be important.
- A blueprint for AI product development:
- design the joyful user experience, and the evals you’ll use to measure it
- define the model capabilities required to deliver that experience
- identify the data needed to give the model those capabilities, and the evals you’ll use to measure it
- fine-tune & integrate
- goto 1
Things that Seem Correct
Section titled “Things that Seem Correct”Things that Don’t Seem Correct
Section titled “Things that Don’t Seem Correct”Original Job Description
Section titled “Original Job Description”Are you interested in informing and guiding Microsoft’s strategic and technical direction? Are you interested in making sure we have the right technology, talent and culture across the company to deliver on Microsoft’s AI ambitions?
Microsoft’s Office of the CTO is chartered with understanding, shaping, and accelerating technologies and their impact on Microsoft, industry, and society to empower every person and every organization to achieve more.
Whether it is providing company-wide technical insights or giving meaning to an “AI First” company, the Office of the CTO is both leading investments in cutting edge areas of technical innovation as well as working across the company with our engineering, field, and strategy teams.
The Technical Advisor role extends the capacity of OCTO and our CTO by generating deeply technical, well-researched and synthesized insights into an area of technology that present a clear point of view for where Microsoft should place investments, support cross-industry partnerships, and drive technology insights that span the organization.
Validating that point of view then requires direct engineering capability, as well as bringing together multiple teams to collaborate towards common goals and engage in activities that inform the CTO, the SLT, and move the needle on Microsoft’s strategic and technical direction.
It can also mean creating counterpoints to commonly held beliefs, all with the goal of making something once deemed impossible into a wonderfully challenging opportunity.
This job posting is for an Architect specifically working in the area of AI. The goal of this role is to understand the holistic artificial intelligence landscape across Microsoft and broader market (across hardware, compute capabilities, systems, frameworks, tools, products, and research), and to identify and create a path towards step-function improvements that lifts our AI posture across Microsoft.
This will require both deep and wide internal and external relationships built with AI experts around the world. The strategic capabilities of this role focus on understanding competitively what we need to build or accelerate in order to achieve our next wave of ambitions, to shape the understanding of our CTO and SLT, and to help prove that the impossible is possible.
We are looking for someone who approaches big challenges and opportunities with deeply technical systems thinking, who can rationalize the different components of an AI stack (including hardware, compute, models of all sizes, training/fine-tuning expertise, data management, evaluation & measurement, AI security, and AI implementation strategies, etc.) and who is ambitious about how Microsoft can be competitive in our AI offerings.
This role requires someone who has developed good intuition for what promotes and impacts the adoption/engagement of AI services, platforms, processes, and tools with ever-improving cost of applied experience. We are looking for someone who is close to the code and systems, stays informed from research, online/offline communities, announcements/news, startup/innovation channels and competitive analysis to drive bold thinking about what Microsoft should invest and build next for state-of-the-art AI innovation.
Primary Responsibilities Will Include
Section titled “Primary Responsibilities Will Include”- Help shape the differentiation and innovation strategy for Microsoft’s AI platform, services and infrastructure, driving a focused set of investments for horizon-oriented AI goals, and becoming a trusted advisor to MSFT’s CTO, Deputy-CTO and relevant product/research teams
- Keep close track of, and often play with, a range of services/platforms, frameworks and hardware from Microsoft, the competition, open-source community, and startups to identify and prioritize our top issues / opportunities for AI
- Keep close track of research efforts inside and outside Microsoft to identify cutting edge investments and productization opportunities for further differentiation
- Drive projects that require collaboration from multiple teams across the organization while sharing a common strategic vision. Help teams evolve their understanding of AI innovation as part of Microsoft culture in engineering, in partnership with the engineering leaders who develop and prescribe evidence-based practices to drive impact for Microsoft.
- Produce, for CTO and other involved senior engineering leaders, technical reading materials with summations, highlighted focus areas for deep processing, and prioritized order of consuming these reading materials. The reading may include a broad range of materials (academic research, business media and consultancies reports, white papers of internal teams, demos & prototype examples, third party expert discussions, etc.). Subsequently, the time required for individual investigations will vary.
- Engage with CTO on iterative AI investigations as needed. Keep drilling down into certain areas based on the CTO’s request and personal sense of company priorities/market trends. Create and maintain iterative mini-brainstorms to ensure alignment with CTO thought leadership and just-in-time fluidity of investigation efforts.
- Produce a range of recommendations to Microsoft based on research. Those may range from directions to individual solutions, proposals for tech investigations, or direct prototyping - depending on the topic, scope, and complexity.
- When needed, work with technical program leaders to coordinate potentially complex cross-team efforts across hardware and software contributing towards the Microsoft stack for AI.
Whether it is providing company-wide technical insights or giving meaning to an “AI First” company, the Office of the CTO is both leading investments in cutting edge areas of technical innovation as well as working across the company with our engineering, field, and strategy teams.
The Technical Advisor role extends the capacity of OCTO and our CTO by generating deeply technical, well-researched and synthesized insights into an area of technology that present a clear point of view for where Microsoft should place investments, support cross-industry partnerships, and drive technology insights that span the organization.
Validating that point of view then requires direct engineering capability, as well as bringing together multiple teams to collaborate towards common goals and engage in activities that inform the CTO, the SLT, and move the needle on Microsoft’s strategic and technical direction.
It can also mean creating counterpoints to commonly held beliefs, all with the goal of making something once deemed impossible into a wonderfully challenging opportunity.
The goal of this role is to understand the holistic artificial intelligence landscape across Microsoft and broader market (across hardware, compute capabilities, systems, frameworks, tools, products, and research), and to identify and create a path towards step-function improvements that lifts our AI posture across Microsoft.
This will require both deep and wide internal and external relationships built with AI experts around the world. The strategic capabilities of this role focus on understanding competitively what we need to build or accelerate in order to achieve our next wave of ambitions, to shape the understanding of our CTO and SLT, and to help prove that the impossible is possible.
We are looking for someone who approaches big challenges and opportunities with deeply technical systems thinking, who can rationalize the different components of an AI stack (including hardware, compute, models of all sizes, training/fine-tuning expertise, data management, evaluation & measurement, AI security, and AI implementation strategies, etc.) and who is ambitious about how Microsoft can be competitive in our AI offerings.
This role requires someone who has developed good intuition for what promotes and impacts the adoption/engagement of AI services, platforms, processes, and tools with ever-improving cost of applied experience. We are looking for someone who is close to the code and systems, stays informed from research, online/offline communities, announcements/news, startup/innovation channels and competitive analysis to drive bold thinking about what Microsoft should invest and build next for state-of-the-art AI innovation.
Primary Responsibilities Will Include
Section titled “Primary Responsibilities Will Include”- Help shape the differentiation and innovation strategy for Microsoft’s AI platform, services and infrastructure, driving a focused set of investments for horizon-oriented AI goals, and becoming a trusted advisor to MSFT’s CTO, Deputy-CTO and relevant product/research teams
- Keep close track of, and often play with, a range of services/platforms, frameworks and hardware from Microsoft, the competition, open-source community, and startups to identify and prioritize our top issues / opportunities for AI
- Keep close track of research efforts inside and outside Microsoft to identify cutting edge investments and productization opportunities for further differentiation
- Drive projects that require collaboration from multiple teams across the organization while sharing a common strategic vision. Help teams evolve their understanding of AI innovation as part of Microsoft culture in engineering, in partnership with the engineering leaders who develop and prescribe evidence-based practices to drive impact for Microsoft.
- Produce, for CTO and other involved senior engineering leaders, technical reading materials with summations, highlighted focus areas for deep processing, and prioritized order of consuming these reading materials. The reading may include a broad range of materials (academic research, business media and consultancies reports, white papers of internal teams, demos & prototype examples, third party expert discussions, etc.). Subsequently, the time required for individual investigations will vary.
- Engage with CTO on iterative AI investigations as needed. Keep drilling down into certain areas based on the CTO’s request and personal sense of company priorities/market trends. Create and maintain iterative mini-brainstorms to ensure alignment with CTO thought leadership and just-in-time fluidity of investigation efforts.
- Produce a range of recommendations to Microsoft based on research. Those may range from directions to individual solutions, proposals for tech investigations, or direct prototyping - depending on the topic, scope, and complexity.
- When needed, work with technical program leaders to coordinate potentially complex cross-team efforts across hardware and software contributing towards the Microsoft stack for AI.