Partner AI Deployment Engineer - AWS

About the Role

The success of this role hinges on the ability to operate at the intersection of technical expertise, business acumen, and ecosystem leadership. You will guide complex enterprise customers from ideation to production, enabling them to independently drive deployments and scale their AI-powered solutions. Your influence will extend beyond individual deal support, as you define engagement models, prioritize frameworks, and establish best practices that maximize impact across a portfolio of high-priority opportunities.

What You Will Do

• Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.
• Influence joint account strategy and technical direction for high-priority opportunities.
• Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements.
• Guide customers from early ideation through architecture design, prototyping, and production deployment.
• Act as a technical decision-maker and escalation point, de-risking complex implementations.
• Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.
• Design and communicate end-to-end AI architectures leveraging OpenAI and AWS services.
• Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.
• Establish best practices for scalable, secure, and production-ready GenAI systems.
• Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).

What We Are Looking For

• 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.
• Experience as a technical leader and systems thinker, with the ability to balance hands-on building with strategic influence and scale.
• Strong background in GTM strategies and their application in driving business outcomes.
• Deep technical expertise in AI deployment, with a focus on cloud-based solutions and ecosystem development.
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
• Experience in building and leading high-performing teams, with a focus on mentorship and talent development.
• Strong understanding of the AWS ecosystem and its services, with experience in designing and deploying scalable solutions.

Nice to Have

• Experience with OpenAI-powered solutions and their integration with AWS services.
• Knowledge of DevOps practices and tools, with the ability to implement continuous integration and delivery pipelines.
• Familiarity with agile development methodologies and their application in fast-paced, dynamic environments.
• Certification in AWS or OpenAI technologies, demonstrating a high level of expertise and commitment.

Benefits and Perks

• Competitive compensation package, reflecting the high demand for skilled AI deployment engineers.
• Opportunities for professional growth and development, including training and certification programs.
• Flexible remote work arrangements, allowing for a better work-life balance.
• Access to cutting-edge technologies and tools, enabling you to stay at the forefront of AI innovation.
• Collaborative and dynamic work environment, with a team of experienced professionals passionate about AI and its applications.

• Ensure your resume highlights your GTM experience and technical expertise in AI deployment, as these are key areas of focus for this role.
• Develop a strong understanding of the AWS ecosystem and its services, as this will be critical in driving joint customer success and enabling the adoption of OpenAI-powered solutions.
• Prepare to discuss specific examples of how you have applied GTM strategies in previous roles, and how you have driven complex enterprise engagements from ideation to production.
• Be ready to provide insights into your experience with DevOps practices and tools, and how you have implemented continuous integration and delivery pipelines in previous roles.
• Consider obtaining certification in AWS or OpenAI technologies to demonstrate your expertise and commitment to potential employers.
• Practice articulating complex technical concepts in simple terms, as the ability to communicate with both technical and non-technical stakeholders is crucial in this role.
• Review the company’s values and mission, and be prepared to discuss how your skills and experience align with these, and how you can contribute to the company’s goals and objectives.