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

EPAM Systems

Schweiz

Vor Ort

CHF 180.000 - 260.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

EPAM Systems Inc in Zurich seeks a Senior Technical Manager with Solution Architect skills to lead evaluation, engineering and operationalisation of a shared AI platform on the Azure estate for a major financial services client. The role blends hands‑on leadership with strategic decision making in a platform engineering context.

You will own end‑to‑end delivery across architecture, engineering, security and operations; translate target architecture into an executable roadmap; and guide a small

Qualifikationen

  • Experience building shared platform services from design to production and post go‑live support.
  • Ability to explain build‑vs‑buy and native‑vs‑open‑source decisions for platforms and services.
  • Proven track record leading evaluations or PoCs with clear criteria and documented outcomes.
  • Ability to plan work for a small platform engineering team with structured work packages and iterative delivery.
  • Hands‑on ownership of operating model, support model, SLAs, monitoring and DevOps.

Aufgaben

  • Own end‑to‑end delivery across architecture, engineering, security and operations.
  • Translate target architecture into an executable roadmap with work packages, milestones and dependencies.
  • Lead product and technology evaluations and PoCs with documented criteria.
  • Plan and steer the work of a small platform engineering team; coordinate architects, security, operations and vendors.
  • Establish production‑ready managed services on Azure including processes, controls and service ownership.
  • Drive the transition into operations and manage the service after go‑live: operating model, support model, SLAs and monitoring.

Kenntnisse

Platform engineering
Azure
DevOps
SRE
Architecture evaluation
Stakeholder management
PoC leadership
Security governance
AI gateways
Observability

Ausbildung

IPMA/PRINCE2/PMP

Tools

Azure DevOps
Kubernetes
LiteLLM

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.

Responsibilities
  • Own end‑to‑end delivery across architecture, engineering, security and operations
  • Translate the target architecture into an executable roadmap: work packages, milestones and dependencies
  • Lead 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 criteria
  • Plan and steer the work of a small platform engineering team; coordinate architects, security, operations and vendors, most of whom will not report directly to you
  • Establish production‑ready managed services on Azure, including operational processes, controls and service ownership
  • Drive the transition into operations and own the service after go‑live: operating model, support model, SLAs and SLOs, monitoring, DevOps, FinOps and AIOps
  • Manage stakeholders, vendors, risks, budget and delivery reporting in a regulated environment
Requirements
  • Experience in building shared platform services, taking them to production and operating them after go‑live
  • Ability 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 it
  • Experience in leading evaluations or PoCs with agreed criteria and documented decisions
  • Ability to plan the work of a small platform engineering team covering structure, skills and the choice between upfront work packages and iterative delivery
  • Hands‑on ownership skills of the operating model, support model, SLAs, monitoring, DevOps and FinOps
  • Knowledge of cloud platform engineering, DevOps/SRE, security, observability and IT service management
  • Recent and concrete knowledge of AI gateways, model access and lifecycle, evaluations, AI observability and guardrails
  • Microsoft Azure platform delivery experience; AWS or Google Cloud is acceptable with a demonstrated ability to transfer concepts to Azure is a preference
  • Experience in financial services or another highly regulated industry is preferred
  • Fluent English language knowledge
  • Nice to have Hands‑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 advantage
  • A project management certification: IPMA, PRINCE2, PMP or equivalent
  • Experience with AI‑native software delivery, for example using AI coding agents such as Claude Code German language skills
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