Senior Delivery Consultant – (AI/ML Specialist), Telecommunications, AWS Professional Services

The Amazon Web Services Professional Services (AWS ProServe) Telco organization is looking for a senior, experienced, and highly motivated business-oriented AI/ML practitioner who possesses a unique balance of executive advisory capability, business acumen, and deep technical expertise across Generative AI, Agentic AI, and Machine Learning, with proven experience leading large-scale cloud-based transformations and implementations.

AWS ProServe engages in a wide variety of strategic projects for customers and partners, bringing together AWS customer experience, best practices, and technical expertise to help organizations accelerate innovation and business outcomes. Our team collaborates across the broader AWS organization to provide customers access to product, engineering, service, and training teams, delivering scalable solutions and driving feature innovation across industries.

This role will focus on advising enterprise customers on how to transform business and operational outcomes through the adoption of Generative AI, Agentic AI, and Machine Learning on AWS. As a Consultant, you will act as a trusted advisor to senior business and technology leaders, shape AI and cloud transformation strategies, lead complex engagements, guide architecture best practices, and oversee the successful delivery of large-scale AI/ML and GenAI implementations with customers and partners. You will also help drive thought leadership, mentor delivery teams, and influence the evolution of AWS AI/ML professional services capabilities across the region.

Key job responsibilities

• Advise customer technologists and business leaders on the art of the possible with Generative AI, Agentic AI, and Machine Learning, helping them design scalable AI solutions on AWS that deliver measurable business value
• Discuss complex industry-specific business and technology concepts with senior customer stakeholders, particularly across Telecommunications industry
• Lead executive and technical workshops with customers to identify transformation opportunities and define how Generative AI, Agentic AI, and Machine Learning can accelerate business outcomes
• Drive large and complex customer engagements across pre-sales and delivery, from ideation and strategy through architecture design, scoping, execution, and successful delivery outcomes
• Provide technical leadership and delivery oversight across customer engagements to ensure alignment on scope, architecture, deliverables, timelines, risks, and expected business outcomes
• Act as a trusted advisor to senior customer stakeholders, guiding AI and cloud transformation initiatives while balancing business priorities, governance, scalability, and operational readiness
• Mentor consultants and delivery teams by promoting AWS best practices, reusable patterns, and high standards of technical and delivery excellence across engagements

A day in the life

You'll partner with customers' architecture and engineering teams to solve industry-complex challenges — for example, bringing live/uncompressed video workflows to the cloud, or modernising a media supply chain. A typical day blends hands-on architecture and prototyping, whiteboarding with customer stakeholders, collaborating with AWS service and partner teams, and writing narratives that align business outcomes with technical delivery. You will move fluidly between tactical delivery and strategic influence, often leading across multiple workstreams and diverse groups, and managing escalations with ease. Internal stakeholders include AWS account teams, service teams, and partners; your customers are leading telecommunication organisations transforming their operations on AWS.

Basic Qualifications

• 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience
• 4+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
• 3+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

Preferred Qualifications

• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
• Knowledge of AWS services including SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch and AWS certifications
• 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration approaches; experience with open source frameworks like LangChain, LangGraph, LlamaIndex, and/ or similar tools
• 5+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience using PyTorch or TensorFlow
• Experience building ML pipelines with MLOps best practices, including: data preprocessing, distributed & GPU training, model deployment, monitoring, and retraining; experience with container and CI/CD pipelines
• Domain expertise in Telecommunications industry