Generative AI Systems Architect

We are seeking a skilled Generative AI Platforms Architect to lead and define the architecture for our enterprise GenAI platform. The role involves creating reference architectures, guardrails, and roadmaps to deliver scalable and secure AI solutions — including LLMs, agentic applications, and tool integrations — across multiple clouds. By collaborating with engineering, security, data governance, and product teams, the Architect will translate business goals into platform designs and actionable delivery plans, while mentoring engineers and advocating for best practices in LLMOps/ModelOps. Responsibilities Design enterprise generative AI reference architectures, blueprints, and reusable patternsDefine multi-cloud platform foundations addressing networking, identity, and secrets managementLead efforts in LLMOps/ModelOps, focusing on model evaluation, safety, observability, and rollout strategiesCreate frameworks and governance for agentic systems, including tool governance and the Model Context Protocol (MCP)Ensure systems comply with security, risk, and compliance standards, with Responsible AI principles and PII controls appliedEstablish strategies for cost efficiency, reliability, and performance using capacity planning and FinOps techniquesImprove developer experience through CI/CD pipelines, golden paths, templates, and Infrastructure as Code (IaC) techniquesCollaborate with cross-functional teams to align system requirements with strategic objectives Requirements Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience1+ years in architecture roles involving cloud, data, or production Generative AI/LLM systemsKnowledge of cloud platforms (Azure, AWS, GCP) and IaC tools (Terraform, Bicep, CDK, CloudFormation)Competency in containerization and orchestration technologies (Docker, Kubernetes), as well as API gateways/service meshesProficiency in CI/CD and release management for ML/LLM workloads (Jenkins, GitHub Actions, GitLab CI, Azure DevOps)Understanding of Large Language Model (LLM) platforms like Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AIFamiliarity with security-by-design principles and compliance frameworks tailored to GenAI systemsAdvanced proficiency in English (B2+/C1) We offer We gather like-minded people:Top tech minds driving innovation in AI, cloud and digital platform modernizationSupportive team and agile, startup-like cultureHybrid by design mode and opportunity to work remotely within PolandChance to work abroad for up to 60 days annuallyBusiness-driven relocation opportunitiesWe provide growth opportunities:Career development programsThought leadership, mentoring, soft skills and well-being programsCertification (Anthropic, Gemini, GCP, Azure, AWS)English classesWe cover it all:Stable payParticipation in the Employee Stock Purchase Plan with a 15% discountBenefits package (health insurance, multisport, shopping vouchers)Referral bonuses up to $2,000Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and moreCorporate, social and well-being eventsPlease, note:Benefits listed above are available to employees onlyWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individuallyWe will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.