> Markdown version of [/jobs/ext/2283783-sr-consultant-agentic-delivery-acceleration-proserve-team-adapt-proserve](https://www.wearedevelopers.com/jobs/ext/2283783-sr-consultant-agentic-delivery-acceleration-proserve-team-adapt-proserve). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Consultant, Agentic Delivery Acceleration ProServe Team (ADAPT ProServe) - **Company:** Amazon.com, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $153,600.0 - $207,800.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Cloud Computing, Cloud Engineering, Databases, Knowledge Management, Machine Learning, Scrum Methodology, Application Enhancement Tool, Serverless Computing - **Published:** August 28, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10517897/sr-consultant-agentic-delivery-acceleration-proserve-team-adapt-proserve ## About the Role 5+ years of technical specialist, design and architecture experience - 5+ years of consulting, design and implementation of serverless distributed solutions experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience, degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience communicating technical concepts to diverse audiences in pre-sales environments ## Description Own product strategy, roadmap, and full-lifecycle delivery of agentic AI solutions (e.g., intelligent knowledge bases, engagement health platforms, delivery automation) - driving clarity on requirements and outcomes in ambiguous spaces - Lead complex initiatives independently with limited guidance; reason about system-level trade-offs using business acumen and technical judgement - Develop strategic relationships across engineering, delivery, sales, and operations; influence multiple internal and external teams to align on scalable solutions - Manage and mitigate risk; lead escalations; define measurable outcomes (adoption, time-to-value) and use data to inform decisions - Architect go-to-market and change management strategies driving adoption across 2,000+ practitioners; identify new automation opportunities within delivery workflows (context & knowledge management, engagement governance, quality processes) - Mentor and develop team members; establish best practices and reusable frameworks that elevate the broader team - Lead content development and present to diverse audiences; communicate across technical and non-technical domains with confidence A day in the life You'll start your day reviewing product metrics and user feedback for your AI-powered tools - used daily by thousands of ProServe consultants worldwide. Mid-morning, you might lead a sprint planning session with engineers building your next feature, then pivot to a stakeholder review with delivery leadership where you present roadmap trade-offs and secure alignment. Afternoons could involve scoping a new automation opportunity surfaced by a delivery team, mentoring a junior team member on writing a narrative, or driving an escalation to unblock a cross-team dependency. Your internal customers are ProServe practitioners, engagement managers, and delivery leaders; your mission is removing friction from how AWS sells and delivers professional services. ## Related Videos - [Seriously gaming your cloud expertise: from cloud tourist to cloud native](https://www.wearedevelopers.com/videos/373-seriously-gaming-your-cloud-expertise-from-cloud-tourist-to-cloud-native) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) - [30 powerful AWS hacks in just 30 minutes: Boost your developer productivity](https://www.wearedevelopers.com/videos/1624-30-powerful-aws-hacks-in-just-30-minutes-boost-your-developer-productivity) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)