Jobs at Amdaris

Lead client application and technology strategy reviews, assess architecture, infrastructure, data flows, security, and development practices, and recommend improvements. Evaluate emerging AI, generative AI, and machine learning technologies for integration into client solutions. Produce technical reports, advise stakeholders, support sales proposals, and collaborate with sales, product, technical, and delivery teams.

Leads client application and technology strategy reviews, evaluates AI and emerging technology adoption, assesses architectures, infrastructure, data flows, security, and development practices, and recommends improvements. The role engages senior stakeholders, produces technical guidance, supports sales proposals, and promotes value-added services. Candidates need architecture experience, cloud software delivery expertise, programming and technology breadth, hands-on generative AI integration experience, Agile knowledge, and strong communication and collaboration skills.

Lead client application and technology strategy reviews, assess architectures, infrastructure, data flows, security, and technology stacks, and recommend improvements and risk mitigation. Evaluate AI, GenAI, and machine learning opportunities, including integration into applications and platforms. Engage senior stakeholders, communicate technical and business strategies, support Agile delivery, and contribute technical expertise to sales pitches and proposals.

Designs solution and technical architectures aligned with business and product goals. Leads architectural decisions, defines non-functional requirements and technical standards, validates feasibility, and improves existing systems. Requires hands-on expertise across Java or Kotlin, backend and frontend development, AWS, databases, Kafka, microservices, APIs, event-driven systems, CI/CD, and DevOps. The role also guides engineering teams, facilitates stakeholder decisions, conducts technical research and proofs of concept, and supports scalable, secure, maintainable software delivery.

Designs and leads technical architecture aligned with business and product goals. Responsibilities include defining application, security, and infrastructure architecture; establishing technical standards; evaluating feasibility; guiding stakeholders; modernizing legacy systems; reviewing code; and supporting DevSecOps and CI/CD. The role requires broad hands-on experience across backend, frontend, cloud infrastructure, Java or Kotlin, AWS, databases, Kafka, React, and modern architectural patterns, along with strong technical leadership and documentation skills.

Designs and governs solution, application, security, and infrastructure architecture aligned with business and product goals. Leads architectural decisions, defines technical standards and non-functional requirements, validates feasibility, and modernizes legacy systems. Provides hands-on guidance across backend, frontend, cloud, DevOps, and AI-enabled development. Facilitates technical discussions, proofs of concept, documentation, and stakeholder alignment while ensuring scalability, performance, reliability, maintainability, privacy, and security.

Manages EMEA payroll operations across 15+ countries, currencies, legal entities, and approximately 3,000 employees. Oversees payroll accuracy, compliance, vendors, statutory filings, reporting, SOX controls, audits, data protection, timekeeping, acquisitions, process harmonization, automation, expatriate payroll, equity compensation, and regional team development. Partners with HR, Compensation, Legal, Accounting, tax teams, auditors, and global payroll leadership.

Develop and optimize AI features for a GenAI English-language learning assistant using agentic workflows. Build Python and FastAPI backend services, integrate Azure and AWS cloud resources, implement monitoring and observability, maintain CI/CD pipelines, and deploy scalable applications with Docker. Collaborate across teams to define requirements and deliver reliable features while following SDLC and agile practices.

The Senior AI Engineer will develop AI-driven content workflows, optimize systems, perform model evaluations, and integrate tools across cloud services.

Designs, builds, integrates, tests, and deploys scalable AI and cloud solutions for clients. Leads discovery, architecture, feasibility assessments, proof-of-concepts, bids, and initial delivery increments. Develops APIs, integrations, and data pipelines; evaluates ML and LLM technologies; and advises stakeholders on responsible AI adoption. The role requires strong software engineering, architecture, client engagement, communication, and technical ownership skills across pre-sales and implementation.

Build and optimize production-grade agentic AI workflows for English language learning. Develop Python and Go services using LLM frameworks, operationalize AI research, implement observability and evaluation systems, manage Azure and AWS resources, and maintain CI/CD, Docker, and scalable production deployments. Collaborate with AI R&D to deliver conversation and speech assessment engines while ensuring testing, monitoring, quality, and regression detection.

Leads client-facing AI strategy, discovery, prototyping, product delivery, and adoption initiatives. Partners with senior stakeholders to identify opportunities, build business cases, demonstrate ROI, and implement Generative AI, agentic AI, and Claude-based solutions. Advises on AI governance and organizational readiness, mentors consultants and product teams, supports change management, and contributes to pre-sales and consulting capability growth.

The Mendix Developer will design, develop, and deploy Mendix applications, leading development and ensuring best practices in a greenfield project. They will mentor junior developers and collaborate with teams to deliver high-impact solutions.

Provide hands-on administration for a fragmented estate of Oracle and SQL Server databases across Azure and on-premise. Perform discovery, routine health checks, performance tuning, incident response (including on-call), monitoring establishment, and document the environment to ensure continuity.

The Senior AI Engineer will design and optimize AI-driven workflows, operationalize AI models, integrate Azure and AWS resources, and ensure code quality through testing and CI/CD pipelines.

Lead and scale revenue operations across sales, marketing, and client services. Manage Salesforce admins/developers, optimise CRM processes and integrations, run ETL pipelines, improve marketing-to-sales handoff (Marketo → Salesforce → Databricks), automate reporting with BI, and drive sales tech stack adoption and efficiency.