Jobs at Amdaris

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.

Lead infrastructure and reliability architecture across a large technology estate. Define AWS cloud, ECS/Fargate, Terraform, CI/CD, networking, observability, resilience, security, and modernization standards. Establish reference architectures, reusable patterns, migration strategies, SLOs, disaster recovery approaches, and production-readiness practices. Influence multiple engineering teams, validate architectural decisions through prototypes, collaborate with enterprise and security architects, and mentor senior technical staff in this hands-on principal individual contributor role.

Lead infrastructure and reliability architecture modernization across large-scale distributed systems. Define AWS cloud, ECS/Fargate, Terraform, GitHub Actions, CI/CD, networking, observability, resilience, security, disaster recovery, and production-readiness standards. Create migration strategies, reusable patterns, reference implementations, and architecture guidance while influencing SRE and engineering teams. Validate decisions through prototypes, review infrastructure designs, resolve cross-team dependencies, and mentor senior technical professionals.

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.

Lead infrastructure and reliability architecture for a large-scale technology landscape modernization. Define AWS, Terraform, ECS/Fargate, networking, deployment, CI/CD, observability, resilience, security, and disaster recovery standards. Create migration strategies, reusable reference implementations, and infrastructure patterns while guiding SRE and engineering teams. Validate architectural decisions through prototypes, influence cross-team technical direction, review major designs, and mentor senior engineers and technical leads as a hands-on principal individual contributor.

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.

Provide hands-on administration and support for a fragmented estate of Oracle and SQL Server databases across Azure and on-prem. Perform onboarding/discovery, routine health checks, performance tuning, reactive troubleshooting, major incident response (on-call), and capture documentation for legacy and modern systems.

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 hands-on administration of a mixed Oracle and SQL Server estate across Azure and on-premises. Perform onboarding/discovery, routine health checks, performance tuning, incident response (including on-call), documentation, SOP creation, backup/retention enforcement, and modern monitoring implementation for a fragmented, largely undocumented environment.

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.