AI engineer for CPM delivery

At AMCO | CPM Partners, we help CFOs and their teams get the best out of technology. Our mission is to optimize and enhance financial processes so finance leaders can make faster and better-informed decisions across consolidation, planning, reporting, and more.

• Map the OneStream / CCH Tagetik delivery lifecycle, from requirements and design through build, testing, deployment and documentation, and identify repeatable, high-effort or error-prone activities suited to AI or automation.
• Facilitate design workshops with consultants, architects, project managers and subject-matter experts, turning discussions into clear requirements, prioritised AI use cases, design decisions and an actionable backlog.
• Decide where generative AI is appropriate and where rules, APIs, parsers or workflow automation are more reliable, reflecting consolidation realities such as data integration, controls, auditability and close-process dependencies.
• Design and build AI-enabled workflows, agents, retrieval solutions and integrations that combine AI reasoning with deterministic services, validation and human review.
• Build primarily in Python and deploy on Azure using approved architecture and security controls, with source control, automated testing and CI/CD through Azure DevOps or equivalent tooling.
• Create automated tests, quality gates, observability and evaluation methods, and monitor performance, reliability, model usage and cost.
• Run bounded pilots on real delivery activities, measure productivity, quality and rework against conventional delivery, and turn the learning into reusable patterns and a prioritised roadmap.
• Build lasting, company-owned capability: document designs, work through code review and shared repositories, support adoption through demos and coaching, and promote responsible AI practice, including data handling, traceability and access control.

• Hands-on understanding of consolidation concepts and delivery in OneStream or CCH Tagetik, gained through consulting, architecture, implementation or technical delivery.
• Practical experience building production-oriented GenAI applications, AI agents, retrieval-augmented generation (RAG), workflow orchestration, evaluation and human-in-the-loop controls.
• Experience creating or integrating MCP servers and tools to connect AI agents securely with enterprise systems and data.
• Experience with Azure services and enterprise integration patterns, such as Azure AI services, Azure OpenAI, Functions, Container Apps or Kubernetes, API Management, Key Vault, REST APIs, SQL and vector databases.
• Experience with Azure DevOps or comparable tooling, Git-based development, pull requests, automated build and release pipelines, and deployment governance.
• Strong Python skills for building APIs, services, agents, integrations and automated tests, using maintainable and secure practices.
• You can redesign ways of working, not simply add an AI tool to an existing process.
• You work confidently with consultants, architects, product owners, project managers and engineering and operations teams, and explain technical choices, risks and trade-offs clearly to technical and functional audiences.

• We aim to do the right thing for clients and for each other.
• We support flexibility where the role and client commitments allow it, including hybrid working and practical solutions that help balance performance with personal life.
• We are committed to an inclusive workplace where people feel respected and can be themselves. Different backgrounds, perspectives, and ways of thinking make us stronger.
• You will have access to learning opportunities, feedback, mentoring, and development support that is practical and role-relevant.
• You will work with experienced colleagues and senior stakeholders, gain exposure to impactful projects, and have space to take ownership and shape your career.
• The base salary range for this role is €60,000 – €90,000 per year, depending on experience, skills, qualifications and country of employment. In addition to base salary, the total compensation package includes an annual bonus and other benefits, which may vary depending on the location of the role.