Partner AI Deployment Engineer - AWS
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Partner AI Deployment Engineer - AWS in India.
This is a high-impact, senior technical role focused on driving the adoption of cutting-edge Generative AI solutions across a strategic cloud ecosystem. You will act as a key technical bridge between enterprise customers, field teams, and platform stakeholders, enabling organizations to move from AI experimentation to production-scale deployments. The role blends deep solution architecture, hands-on technical leadership, and ecosystem enablement across AWS and partner networks. You will guide complex enterprise engagements, shape scalable deployment patterns, and influence how AI systems are designed and operationalized at scale. Operating at the intersection of strategy and execution, you will help define repeatable frameworks that accelerate GenAI adoption across industries. This is a remote-first role with high visibility and strong impact across global enterprise initiatives.
Accountabilities:
Serve as a senior technical leader and trusted advisor within the AWS ecosystem, shaping strategy and driving high-value AI deployment opportunities.
- Act as the primary technical counterpart to AWS field leadership, including Solutions Architects and Partner teams
- Define engagement models, technical frameworks, and best practices for scaling AI adoption across enterprise customers
- Lead complex, high-stakes customer engagements from ideation through architecture, prototyping, and production deployment
- Design end-to-end AI solutions leveraging AWS services and Generative AI technologies, ensuring scalability and security
- Build and guide development of proof-of-concepts, prototypes, and reference architectures to accelerate adoption
- Identify and drive high-impact use cases across AWS accounts and partner ecosystems
- Enable AWS teams, GSIs, RSIs, and ISVs through workshops, playbooks, demos, and reusable solution assets
- Develop repeatable technical patterns to support partner-led deployments at scale
- Act as a bridge between field teams and internal product/engineering teams, providing strategic feedback and insights
- Contribute to internal standards, frameworks, and best practices for AI deployment engineering
Requirements:
This role requires strong technical consulting experience combined with deep expertise in enterprise architecture and ecosystem-scale solution delivery.
- 8+ years of experience in technical consulting, solution architecture, or equivalent enterprise-facing technical roles
- Strong background in cloud platforms, particularly AWS, and modern distributed system architectures
- Proven experience designing and deploying AI or GenAI solutions in production environments
- Ability to lead complex technical discussions with both engineering teams and executive stakeholders
- Strong hands-on capability in building prototypes, POCs, and scalable reference implementations
- Experience working with enterprise customers and partner ecosystems such as SIs, ISVs, or GSIs
- Strong systems thinking with the ability to translate strategy into scalable technical solutions
- Ability to balance hands-on technical work with high-level architectural leadership
- Excellent communication and stakeholder management skills across technical and business audiences
- Strong ability to create reusable frameworks, patterns, and documentation for broader team adoption
- Comfort working in ambiguous, fast-evolving, and high-impact environments
- Strong collaboration mindset with a focus on long-term ecosystem success
Benefits:
- Competitive compensation with performance-based incentives
- Remote-first and flexible working model
- Opportunity to work on cutting-edge Generative AI and cloud-scale systems
- High-impact role with global visibility across enterprise customers and partners
- Career growth in advanced AI deployment and cloud architecture leadership
- Collaborative, cross-functional environment with strong technical ownership
- Access to large-scale enterprise and strategic ecosystem projects
- Professional development and continuous learning opportunities
