DESCRIPTION
- Translate customer use cases and business objectives into well-scoped AI solutions with measurable success criteria, technical requirements, and an iterative delivery plan.
- Design and implement production AI solutions on AWS, including the application, data, integration, security, and operational components required to run them reliably.
- Develop and test software using one or more programming languages, APIs, data pipelines, infrastructure as code, and continuous delivery practices.
- Select and evaluate appropriate AI approaches, which may include traditional ML, foundation models, retrieval, model adaptation, tool use, or agentic workflows.
- Establish evaluation and responsible AI controls covering solution quality, safety, privacy, security, latency, reliability, and cost.
- Diagnose technical issues across models, applications, data, and infrastructure, and communicate trade-offs clearly to customer stakeholders.
- Work with customer and partner teams to integrate solutions into existing workflows and complete documentation, knowledge transfer, and operational handover.
- Use AI-assisted development practices, and contribute reusable assets and lessons to the Data & AI practice.
BASIC QUALIFICATIONS
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
PREFERRED QUALIFICATIONS
- Bachelor's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or experience in defining and creating benchmarks for assessing GenAI model performance
- Experience developing, deploying and managing AI products at scale
- Experience designing, building and deploying agentic solutions on AWS Agentcore or similar platforms
- Experience with one or more applied AI patterns, such as model evaluation, retrieval, model adaptation, tool use, multimodal applications, or agentic workflows.
- Experience with enterprise data foundations, including data quality, governance, semantic models, or knowledge systems.
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Delivery Consultant AI - Enterprises, AWS Professional Services - Amazon Web Services employer: OpenTalent
At TwinStream, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our hybrid working model in Cheltenham allows for flexibility while providing ample opportunities for professional growth and development within the tech sector. With a focus on meaningful projects that support government organisations, employees can find purpose in their work while enjoying competitive benefits and a supportive team environment.
