• Define and drive the multi-year technical roadmap for IAM and KMS • Design high-availability, low-latency identity and key management services in Go • Architect secure token exchange patterns and identity context injection for AI workflows • Design and deliver a robust, multi-tenant KMS • Drive the evolution of Policy Engine to support advanced resource-level permissions • Partner with Inference, Billing, DOKS, and Platform Security to resolve architectural gaps • Establish cryptographic and identity engineering standards • Mentor and develop senior and mid-level engineers

Role Description This opportunity sits within a well-established Microsoft partner environment, working with organisations across a range of sectors to design and deliver enterprise-scale Dynamics 365 and Power Platform solutions. You'll play a key role from initial customer engagement through to architecture, delivery and ongoing innovation, helping clients get genuine business value from their Microsoft D365 CRM investment. The role combines solution architecture, customer engagement and technical leadership. You'll work closely with stakeholders, delivery teams and senior decision makers to define requirements, design scalable solutions and provide guidance throughout the project lifecycle. Presales involvement is also a key part of the position, supporting customers with solution design and technical direction. - Designing end-to-end Dynamics 365 CE and Power Platform solutions - Leading architecture across data, security, integrations and scalability - Providing technical leadership to consultants and developers - Supporting presales activities, demonstrations and solution design workshops - Ensuring delivery quality, governance and architectural best practice - Working closely with customers to understand business challenges and objectives Qualifications - Strong experience designing and delivering Dynamics 365 CE and Power Platform solutions - Expertise across areas such as Power Apps, Power Automate, integrations and Azure services - Experience in a customer facing consultancy or partner environment would be highly beneficial Benefits - Good bonus scheme - Healthcare - Life assurance - Matched pension - Employee ownership benefits - Enhanced family policies - Excellent opportunities for professional development and progression Company Description

• Define technical strategy and lead architectural design across cloud, data, and AI/ML systems for end-to-end engagements • Architect scalable cloud-native solutions, including multi-cloud and hybrid strategies (e.g., AWS, Azure, GCP, Kubernetes) • Design data architectures including warehouses, data lakes, and pipelines for batch and streaming workloads (e.g., Snowflake, Redshift, BigQuery, Spark, Kafka) • Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications (e.g., SageMaker, Vertex AI, MLflow, Hugging Face) • Define infrastructure as code, CI/CD, and DevOps standards across engagements (e.g., Terraform, CloudFormation, GitHub Actions) • Drive performance, scalability, cost, and reliability optimization across deployed systems • Ensure architecture meets security, governance, and compliance requirements (e.g., GDPR, HIPAA, SOC2) • Lead cloud migrations and platform modernization initiatives • Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace • Partner with senior leadership and clients as the principal technical voice on strategy and direction • Communicate complex technical concepts clearly to engineering and non-engineering stakeholders alike • Engage closely with engineering, data, AI, and product teams to align architecture with broader business priorities • Develop and maintain architecture documentation, standards, and guidelines • Define and champion architectural standards and best practices on the engagements you support • Mentor experienced engineers and architects, helping them grow their technical judgment and impact • Own the most difficult architectural and integration challenges, serving as the senior technical decision-maker • Evaluate emerging technologies and recommend tools, frameworks, and patterns that improve architecture over time.

• Define and evolve the platform's data architecture, ensuring scalability, performance, security, and governance. • Design Big Data solutions for ingestion, processing, and storage of large volumes of structured and unstructured data. • Develop architectures to integrate multiple information sources, including geospatial, climate, production, financial, and cadastral data. • Define standards, frameworks, and best practices for analytical processing and data provisioning. • Contribute to building Data Lakes, Data Warehouses, and modern cloud-based architectures. • Support Analytics, Machine Learning, and Artificial Intelligence initiatives focused on agricultural credit and risk assessment. • Ensure data quality, traceability, security, and governance. • Work collaboratively with business teams, data engineering, data science, and software development teams. • Lead architectural decisions considering performance, availability, and scalability requirements.