About the Role: AWS seeks a Senior AI Specialist Sales professional to drive adoption of AWS's full stack AI services across Manufacturing, automotive & industrial sector in India and SAARC region. This individual contributor role requires deep AI/ML expertise, executive presence, and proven sales success. You'll engage C-level executives (CEOs, CTOs, CAIOs, CFOs, line of business owners) to accelerate Generative AI and Agentic AI adoption, bridging business strategy with technical implementation.

Key requirement: Ability to engage with CEO/LOB owners for strategic conversations to leverage AI for business transformation, as well as with CTO/CAIO for AI-implementation linked technical architecture conversations. AI specialist solution architects will support for Level 300+ deep dives.

Key job responsibilities
Engage C-suite executives to drive AWS AI services adoption: CEOs (business transformation), CTOs/CAIOs (technical architecture), CFOs (ROI models), line of business owners (use cases). Lead AI-focussed Executive Briefing Centers, board presentations, and strategic planning workshops.

Drive adoption of AWS full stack AI services (incl., but not limited to Amazon Bedrock, SageMaker, Amazon Q, Trainium / Inferentia etc.). Focus on Generative AI and Agentic AI as priority areas. Articulate business value from infrastructure (custom silicon) to applications; and position AWS AI services differentiation across aspects of model choice, security, cost optimization, responsible AI etc.

Solution Design & Sales Execution: Structure C-suite conversations on business outcomes that can be delivered using AI. Identify high-value industry-aligned use cases. Develop compelling business cases with quantified ROI and time-to-value. Own revenue targets for AI/ML services for assigned territories. Manage end-to-end sales cycles. Lead POCs and pilots demonstrating AWS AI services

Thought Leadership: Represent AWS at industry-aligned events. Develop executive presentations, thought leadership and case studies. Provide market insights to inform AWS product roadmaps


About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
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Basic Qualifications

- 6+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Technical Expertise: Proven experience in sales and/or practitioner roles across end-to-end AI value chain incl. LLMs, foundation models, RAG, model fine-tuning, ML Ops and AI infrastructure (GPUs, custom silicon and accelerated compute). Deep familiarity with AWS AI services, with the ability to translate technical capabilities to business outcomes.
- Executive & Sales Skills: Ability to engage and earn C-suite trust. Strong communication skills (simplify complex AI concepts for diverse audiences). Consultative selling with discovery, problem framing, solution design. Strong business acumen across financial modeling, ROI analysis, competitive dynamics. Experience managing complex, multi-stakeholder sales cycles.

Preferred Qualifications

- MBA, or Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- AWS certification
- Experience working as Chief AI Officer, AI Practice leader or AI Solution Leader.
- Published thought leadership in AI/ML.
- Work experience in Manufacturing, automotive & industrial sector with Hyperscalers, Strategy Consulting, Technology consulting arm of Big 4, AI consulting/services firms, GSIs, GCCs, ISVs.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.