Role Description Joining Customer Service Transformation Programme, working within the AI & Agents squad. The squad owns customer-facing agentic AI on AWS Bedrock with multi-agent collaboration patterns using Claude Sonnet. Concurrent work includes: - Domain-specific chat agents going live - Additional domain agents being designed - Chatbot automation - Agent WorkSpace AI features (real-time alerts, complaint indicators, Agent Note Taker) Qualifications - 5+ years software engineering, with 2+ years on customer-facing AI/LLM systems in production - Hands-on Amazon Bedrock - Agent configuration, Action Groups, Knowledge Base integration, Guardrails - Multi-agent orchestration patterns (supervisor/collaborator/handoff) - Prompt engineering at production scale - versioning, A/B testing, regression methodology - Lambda fulfillment patterns including OpenAPI tool specifications - TypeScript primary, Python secondary - Working knowledge of vector databases (OpenSearch Serverless, Pinecone, or equivalent) - Strong written and verbal communication - this role contributes to architectural decisions visible to senior stakeholders Requirements - Hands-on Amazon Bedrock AgentCore (the new managed agent runtime - rare in market) - Amazon Agent Assist / Agent WorkSpace integrations - Voice agent experience (Nova Sonic or other voice LLM) - Production experience with Anthropic Claude on Bedrock (Sonnet 4 or later) - RAG implementation experience - chunking strategy, embedding model selection, retrieval evaluation - AI safety / Guardrails configuration experience Company Description AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve been helping organisations build better digital products and stronger digital teams since 2014. - We believe our work should always make a remarkable impact for our clients. - This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. - Today we number more than 1,300 people with Clubs all over the UK, Europe and the USA with plans for global expansion in the next couple of years. Join us - and help us fulfil our mission to close the world’s digital skills gap.

• You’ll be supporting and leading projects that develop and exploit new technologies. • Executing multiple proof-of-concept type projects in quick succession. • Participating in securing funding through proposals to the Government and private funding sources. • Becoming intimately familiar with (a) multiple technology areas, (b) intellectual property and how to protect it, and (c) the process by which technologies are evaluated for their potential to generate products. • Demonstrating an exceptional degree of technical ingenuity, intellectual curiosity, and a track record of successful business development/bid and proposal efforts. • Seeking out, identifying, and capitalizing on learning opportunities.

• Lead the development and execution of the HR AI roadmap, with a focus on Workday AI agents and automation opportunities • Identify and prioritise high-value use cases that improve service delivery, operational efficiency, and employee experience • Partner with HR, Workday, IT, and business stakeholders to activate AI capabilities in a controlled and scalable way • Drive adoption and utilisation of AI tools through clear communication, targeted change management, training, and stakeholder engagement • Establish adoption metrics, usage dashboards, and value tracking to measure impact and inform ongoing optimisation • Work with process owners to redesign HR workflows around AI-enabled ways of working • Ensure responsible AI principles are embedded, including governance, privacy, compliance, and risk management • Translate AI capability into practical HR applications that are easy to understand, trust, and use • Build HR team capability and confidence through education, enablement, and coaching • Monitor emerging trends and assess new AI opportunities relevant to HR and Workday • Act as a thought partner to HR leadership on the future of work, automation, and digital enablement

Role Description We are looking for a Staff AI Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to: - Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models. - Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents. - Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch. - Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools. - Build and maintain shared Python libraries and SDKs used across multiple applications and microservices. - Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform. - Develop and enhance monitoring, validation, and observability for production-grade AI solutions. - Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement. - Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments. - Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence. Example Projects: - Building an evaluation and observability framework for AI model performance and reliability. - Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools. - Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases. - Designing AI services that process and reason over high-volume real-world data at scale. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - 5+ years of experience as a Software Engineer, with strong proficiency in Python. - Proven track record of building and maintaining production-grade systems using Python. - Strong understanding of distributed systems, API design, and data-driven architectures. - Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar). - Familiarity with AI/ML system design, including LLM integration and evaluation pipelines. - Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation). - Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD Requirements - Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models). - Background in developer platforms or AI infrastructure services. - Familiarity with vector databases, semantic retrieval, and knowledge graph architectures. - Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks. - Experience developing enterprise-scale SaaS or distributed backend systems. - Contributions to open-source projects in Python, AI, or infrastructure engineering. Soft Skills / Personal Characteristics - Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences. - Collaborative and proactive approach, comfortable working across teams in a dynamic environment. - Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation. - Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.