Jobs at AND Digital

Provide solution architecture expertise for complex digital projects, translating business and technical requirements into architectural blueprints. Lead target design, architecture standards, system dependencies, and technology decisions across enterprise platforms. Support development teams with complex solutions and code migrations, while coaching product developers. The role also involves client consulting, stakeholder relationship management, and applying cloud, enterprise architecture, Agile, and architectural framework expertise.

Define data strategy, architecture principles, guardrails, and target-state roadmaps in complex cloud-native environments. Design distributed systems, event-streaming platforms, data models, storage architectures, operational and analytical pipelines, and secure data flows. Partner with engineering and product teams to establish pragmatic standards, automation, observability, and resilience. Support legacy modernization, migration, coexistence, reconciliation, and progressive decoupling across regulated environments.

Lead a two-month technical assessment of native mobile versus cross-platform approaches, including React Native. Evaluate performance, scalability, maintainability, cost, adoption, and architectural risks; deliver a proof of concept with engineers; document findings and recommendations; define the target web and mobile architecture, technology stack, shared and platform-specific components, and a prioritized technical backlog.

Lead engineering transformation in complex environments, focusing on large-scale legacy modernization, AWS cloud migration, platform transformation, and modern software delivery. Design engineering operating, ownership, and leadership models; develop business cases, investment profiles, and delivery roadmaps; and manage stakeholders across Engineering, Product, Delivery, and Enterprise Architecture.

Leads a regional consulting club with full accountability for commercial performance, client delivery, account growth, P&L, revenue forecasting, and operational excellence. Acts as a senior client advisor, shapes and closes high-value deals, builds market presence, and develops executive relationships. Champions culture, engagement, capability development, and multidisciplinary team performance while driving innovation and sustainable growth.

Leads enterprise business development for technology consulting and professional services. Owns the full sales cycle from prospecting and campaign planning through closing, builds relationships with CIOs, CTOs, CEOs and other executives, and wins complex opportunities with large enterprises. The role requires expertise across digital, technology, business strategy, Agile, change management or transformation, with accountability for securing annual client revenues of approximately £3–6 million.

Contract Data Engineers will develop data pipelines for decision-making and data science applications, ensuring data quality, flow, and organization. The role requires hands-on Python and SQL coding, Snowflake and Azure Databricks expertise, familiarity with AI data usage, cloud platform technologies, and DataOps concepts. Contractors will collaborate with clients and multidisciplinary teams to solve complex technology challenges and deliver high-quality outcomes.

Own the architecture, development, and deployment of scalable data pipelines using Snowflake, dbt, and Dagster. Design data and machine learning models, implement tiered data architectures, and establish data quality, governance, security, RBAC, and masking controls. Provide technical leadership across CI/CD, version control, orchestration, and Agile delivery while collaborating with product, analytics, and platform teams.

Leads AND Digital’s Platform and AI practice across the US, advising C-suite clients, shaping cloud, platform, software engineering, and AI solutions, and overseeing architecture and delivery quality. Drives go-to-market strategy, partnerships, proposals, reusable intellectual property, and significant revenue impact. Mentors technical teams, develops internal capabilities, and supports recruitment and practice growth while connecting technology transformation to measurable business outcomes.

Build and manage scalable Azure cloud platforms across architecture, infrastructure as code, CI/CD, networking, security, monitoring, availability, and cost optimization. Integrate legacy on-premises systems, troubleshoot brownfield and greenfield environments, evaluate emerging technologies, and implement AI agents using Microsoft Foundry. Lead technical teams, collaborate with developers and third parties, deliver proofs of concept, and mentor clients and colleagues.

Lead client AI transformation engagements from current-state assessment through strategy, business cases, organizational change, and implementation planning. Advise C-suite and senior stakeholders, design technology-led operating models, develop consulting propositions, support business development, identify expansion opportunities, and contribute to thought leadership and regional financial performance. The role requires hands-on delivery, AI adoption experience, commercial awareness, and the ability to navigate complex, ambiguous client environments.

Deploy and operate production AI and machine learning architectures, including batch processing systems, real-time microservices, continuous retraining, and observability. Design sustainable machine learning solutions across the full lifecycle using Python, SQL, modern modeling frameworks, cloud platforms, containers, and deployment pipelines. Apply generative AI and LLM tools while communicating technical trade-offs to technical and business stakeholders.

Build, deploy, and operate production machine learning and AI systems, including batch processing, real-time microservices, retraining pipelines, observability, and generative AI applications. The role requires expertise across the machine learning lifecycle, Python, SQL, modern modeling frameworks, cloud platforms, containerization, deployment pipelines, and agent orchestration tools. The engineer will collaborate with technical and business stakeholders, communicate trade-offs, and align model performance with product and commercial objectives.

Leads enterprise cost takeout and technology transformation engagements, advising executives on technology strategy, modernization, automation, AI, cloud, operating models, and value realization. Develops transformation roadmaps, business cases, and commercial opportunities; shapes proposals and RFP responses; oversees multidisciplinary delivery teams; manages executive governance and stakeholder relationships; and mentors consultants and solution leaders.

Leads AND Digital’s Data and AI practice in the US by advising C-suite clients, shaping enterprise AI solutions, overseeing architecture and delivery quality, driving go-to-market growth, developing partner relationships, and mentoring distributed engineering teams. The role combines hands-on technical leadership across AWS, Snowflake, and modern data platforms with commercial responsibilities including presales, propositions, thought leadership, and revenue generation.

Develop large-scale Java software for enterprise and eCommerce clients using technologies including Spring Boot, AWS, and MySQL. Champion software quality and technical vision, apply TDD, BDD, and XP practices, solve complex problems collaboratively, and contribute effectively within multidisciplinary teams.

Lead a regional consulting 'Club' with full P&L accountability: drive commercial growth, client relationships (C-suite), delivery excellence, team development, and operational performance while championing company culture and values.

Develop data pipelines for decision-making and data science applications. Apply data quality, flow, and organisation principles while coding in Python and SQL. Use Snowflake, Azure Databricks, cloud platforms, and associated technologies, with an understanding of AI data usage and DataOps concepts. Collaborate with multidisciplinary teams and clients to deliver high-quality digital solutions.

Build and deploy commercial analytics and machine learning models for segmentation, churn, pricing, marketing mix modeling, and forecasting. Productionize data pipelines using Python or R, SQL, Azure, and Microsoft Fabric, then present insights through Power BI and Salesforce CRM Analytics. Partner with Sales, Marketing, and Finance teams to support commercial decisions, communicate findings to nontechnical stakeholders, and drive adoption of analytical solutions.

Provide technical leadership for the design, evolution, and scaling of AWS cloud platforms. Build reusable platform capabilities, self-service tooling, automation, and standardized engineering workflows. Improve reliability, scalability, performance, observability, security, and developer experience using cloud-native and SRE practices. Lead complex initiatives, influence architecture and technical strategy, establish engineering guardrails, and mentor engineers across multiple teams.