Verified Job
Delivery
AWS Solutions Architect
Delivery
#57207
Remote / WFH
Accenture
Job Description
Join our Data & AI practice as an AWS Architect, delivering high-impact, client-facing data transformation initiatives across industries.
We are seeking a highly skilled and experienced AWS Architect to join our team. The ideal candidate will have a strong background in data architecture, cloud-native solutions, and AI/ML technologies, with a specific focus on AWS and Amazon Bedrock. As an AWS Architect, you will be responsible for designing, implementing, and optimising AWS-based data and AI solutions to meet the needs of our clients, and guiding high-performance teams in modern approaches and best practices. You'll have the opportunity to leverage the latest tools to enable our clients with modern, AI-ready Data Platforms powered by generative AI.
Our AWS practice continues to grow from strength to strength, delivering cutting-edge cloud and AI transformation programmes across industries. We are embedding GenAI, including Amazon Bedrock, into the solutions we deliver for our clients, and into how we deliver them, making Accenture's Data & AI team a fantastic place to make an impact and grow your career.
What good looks like at 12 months
Has led end-to-end architecture on at least one major AWS engagement, from design through to production
Is the default technical authority on AWS and Bedrock design decisions within the team
Has contributed to at least one presales or solutioning conversation alongside senior practice leadership
Has introduced or reinforced architectural standards around cloud-native and AI-driven solutions that the wider team now follows
A typical week
50% hands-on AWS architecture and delivery: data platform design, Bedrock integration, and cloud-native solution development
25% technical leadership: guiding development teams, conducting design reviews, and setting best practice standards
15% client and stakeholder engagement: gathering requirements, presenting solutions, and building senior client relationships
10% presales and solutioning: contributing to proposals, RFPs, and project estimates
Key responsibilities
Design and implement scalable, cloud-native data architectures on AWS, leveraging services such as Amazon S3, Redshift, Glue, Lake Formation, Kinesis, and Amazon Bedrock
Architect end-to-end generative AI and ML solutions using Amazon Bedrock, including foundation model selection, prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based workflows
Collaborate with stakeholders to understand business requirements and translate them into robust technical solutions on the AWS platform
Provide technical leadership and guidance to development teams on AWS best practices, Well-Architected Framework principles, and AI/ML design patterns
Partner with senior technical and business leaders to build relationships, gather and define requirements, provide presales support, and solution projects
Work with Data Architects and Modellers to advise on relevant, effective, and efficient cloud-native and AI-driven solutions.
We are seeking a highly skilled and experienced AWS Architect to join our team. The ideal candidate will have a strong background in data architecture, cloud-native solutions, and AI/ML technologies, with a specific focus on AWS and Amazon Bedrock. As an AWS Architect, you will be responsible for designing, implementing, and optimising AWS-based data and AI solutions to meet the needs of our clients, and guiding high-performance teams in modern approaches and best practices. You'll have the opportunity to leverage the latest tools to enable our clients with modern, AI-ready Data Platforms powered by generative AI.
Our AWS practice continues to grow from strength to strength, delivering cutting-edge cloud and AI transformation programmes across industries. We are embedding GenAI, including Amazon Bedrock, into the solutions we deliver for our clients, and into how we deliver them, making Accenture's Data & AI team a fantastic place to make an impact and grow your career.
What good looks like at 12 months
Has led end-to-end architecture on at least one major AWS engagement, from design through to production
Is the default technical authority on AWS and Bedrock design decisions within the team
Has contributed to at least one presales or solutioning conversation alongside senior practice leadership
Has introduced or reinforced architectural standards around cloud-native and AI-driven solutions that the wider team now follows
A typical week
50% hands-on AWS architecture and delivery: data platform design, Bedrock integration, and cloud-native solution development
25% technical leadership: guiding development teams, conducting design reviews, and setting best practice standards
15% client and stakeholder engagement: gathering requirements, presenting solutions, and building senior client relationships
10% presales and solutioning: contributing to proposals, RFPs, and project estimates
Key responsibilities
Design and implement scalable, cloud-native data architectures on AWS, leveraging services such as Amazon S3, Redshift, Glue, Lake Formation, Kinesis, and Amazon Bedrock
Architect end-to-end generative AI and ML solutions using Amazon Bedrock, including foundation model selection, prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based workflows
Collaborate with stakeholders to understand business requirements and translate them into robust technical solutions on the AWS platform
Provide technical leadership and guidance to development teams on AWS best practices, Well-Architected Framework principles, and AI/ML design patterns
Partner with senior technical and business leaders to build relationships, gather and define requirements, provide presales support, and solution projects
Work with Data Architects and Modellers to advise on relevant, effective, and efficient cloud-native and AI-driven solutions.
