Enterprise AI/ML Architect — Gen AI & Hybrid Infra

SoftServe Inc.

Poland

On-site

PLN 240,000 - 360,000

Full time

14 days+

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Job summary

SoftServe is looking for an experienced Solution Architect to design and deliver enterprise AI/ML solutions for client engagements, with a focus on the Middle East and Central Asia. You will shape scalable, secure architectures across on‑premises and hybrid environments, collaborating with customers, partners, and delivery teams from use‑case definition through production.

You will lead AI initiatives, define architectures for Generative AI and AI agents, guide implementation teams for

Qualifications

  • 2+ years as a Solution Architect designing complex AI/ML solutions.
  • 4+ years of technical leadership in ML or Data Science.
  • Experience with on-premises and hybrid infrastructure and cloud platforms.
  • Strong Python and modern AI/ML frameworks knowledge.
  • Willingness to travel 2–3 weeks per month.

Responsibilities

  • Design end-to-end AI/ML solution architectures for enterprise needs.
  • Lead AI initiatives from discovery through production deployment.
  • Define architectures for Generative AI, LLMs, RAG, and AI agents.
  • Recommend AI technologies, deployment approaches, and GPU sizing.
  • Collaborate with customers, partners, engineers, and data teams.
  • Ensure scalability, security, performance, and operational readiness.

Skills

AI/ML design
Enterprise architecture
Leadership
Stakeholder communication

Tools

Kubernetes
VMware
NVIDIA AI Enterprise

Job description

SoftServe is looking for an experienced Solution Architect to design and deliver enterprise AI/ML solutions for client engagements, with a focus on the Middle East and Central Asia. You will shape scalable, secure architectures across on‑premises and hybrid environments, collaborating with customers, partners, and delivery teams from use‑case definition through production.

You will lead AI initiatives, define architectures for Generative AI and AI agents, guide implementation teams for

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