Senior Technical Manager with Solution Architect Skills (AI & Data Platform)

EPAM Systems; Zürich; Vor Ort; CHF 180.000 - 240.000; Vollzeit

Benefits dieser Stelle

5 weeks of vacation

ESPP

Extended pension plan

Daily sickness allowance

Zusammenfassung

EPAM Systems Inc is seeking a Senior Technical Manager with Solution Architect skills to lead the build and operation of a shared AI platform on Microsoft Azure for a major financial services client in Zurich.

You will drive architecture-to-delivery, evaluate cloud-native vs open-source approaches, and manage a small platform engineering team across architecture, security, and operations, ensuring production readiness and strong governance post go-live.

Qualifikationen

• Experience in building shared platform services to production and operating post go-live.
• Ability to explain and defend build-vs-buy decisions and plan platform service architecture.

Aufgaben

• Own end-to-end delivery across architecture, engineering, security and operations.
• Translate architecture into executable roadmap with milestones and dependencies.
• Lead evaluations/PoCs with documented criteria and decisions.
• Steer a platform engineering team; coordinate architects, security, operations and vendors.
• Establish production-ready managed services on Azure with proper operations model and SLAs.
• Transition to operations and own the service after go-live with monitoring and FinOps.

Kenntnisse

Platform engineering

Delivery leadership

Cloud architecture

AI gateways

Azure expertise

DevOps/SRE

FinOps

Stakeholder management

Vendor management

Ausbildung

IPMA/PRINCE2/PMP or equivalent

Tools

Azure API Management

LiteLLM

Azure AI Foundry

Jobbeschreibung

EPAM is looking for a Senior Technical Manager with Solution Architect skills to join a major financial services client in Zurich. The client's central IT organisation is building a shared AI platform layer on its existing Microsoft Azure estate. In this embedded role you will lead the evaluation, engineering and operationalisation of that platform. The platform is built primarily on cloud-native services with open-source or open-core components where needed, delivered by a small platform engineering team. The engagement is time- and budget-boxed with potential for further building blocks to follow.This is a hands-on delivery leadership position - not a project administrator and not a hands-on coder - requiring the technical depth to evaluate architecture decisions and defend a position on the build approach, combined with the delivery capability to translate that into a structured plan and run the resulting services after go-live.ResponsibilitiesOwn end-to-end delivery across architecture, engineering, security and operationsTranslate the target architecture into an executable roadmap: work packages, milestones and dependenciesLead product and technology evaluations and proofs of concept - for example a native cloud AI gateway vs an open-source gateway such as LiteLLM vs a dedicated product - and drive each decision with clear documented criteriaPlan and steer the work of a small platform engineering team; coordinate architects, security, operations and vendors, most of whom will not report directly to youEstablish production-ready managed services on Azure, including operational processes, controls and service ownershipDrive the transition into operations and own the service after go-live: operating model, support model, SLAs and SLOs, monitoring, DevOps, FinOps and AIOpsManage stakeholders, vendors, risks, budget and delivery reporting in a regulated environmentRequirementsExperience in building shared platform services, taking them to production and operating them after go-liveAbility to explain and defend build-vs-buy and native-vs-open-source decisions, and to articulate how to construct such a platform and the service around itExperience in leading evaluations or PoCs with agreed criteria and documented decisionsAbility to plan the work of a small platform engineering team covering structure, skills and the choice between upfront work packages and iterative deliveryHands-on ownership skills of the operating model, support model, SLAs, monitoring, DevOps and FinOpsKnowledge of cloud platform engineering, DevOps/SRE, security, observability and IT service managementRecent and concrete knowledge of AI gateways, model access and lifecycle, evaluations, AI observability and guardrailsMicrosoft Azure platform delivery experience; AWS or Google Cloud is acceptable with a demonstrated ability to transfer concepts to Azure is a preferenceExperience in financial services or another highly regulated industry is preferredFluent English language knowledgeNice to haveHands-on AI platform experience with Azure AI Foundry, Azure API Management AI gateway features, LiteLLM or a comparable AI gateway in production is a strong advantageA project management certification: IPMA, PRINCE2, PMP or equivalentExperience with AI-native software delivery, for example using AI coding agents such as Claude CodeGerman language skillsWe offer5 weeks of vacationEPAM Employee Stock Purchase Plan (ESPP)Enhanced parental leaveExtended pension planDaily sickness allowance insuranceEmployee assistance programGlobal business travel medical and accident insuranceLearning and development opportunities including in-house training and coaching, professional certifications, and courses• Please note that any offers will be subject to appropriate background checks• We do not accept CVs from recruiting or staffing agencies• For this position, we are able to consider applications from the following:- Swiss nationals- EU/EFTA nationals- Third-country nationals based in Switzerland with an appropriate work permit- Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits