EPAM Systems (Nordic) AB jobb

Full Stack Developers in Goteborg design, build and improve web applications that support real business workflows, including practical AI-enabled features. You own features across frontend, backend and data layers, from requirements clarification through production delivery. Working onsite with product owners, architects, designers and client stakeholders, you combine hands-on engineering with precise specifications, responsible use of AI development tools and validation of business outcomes. This role matters because it drives the creation of robust, user-focused solutions that enhance enterprise operations. Responsibilities Understand how users work, clarify requirements with product owners and domain experts, and surface assumptions, dependencies and constraints before implementation Translate agreed requirements into buildable feature specifications and testable acceptance criteria, covering business rules, data flows, permissions, edge cases and failure scenarios Design, implement and maintain frontend components, backend services, REST APIs and data models within the agreed architecture; explain technical trade-offs and raise decisions that affect other systems Use AI coding assistants and agents to support implementation, testing and refactoring. Provide clear context and constraints, review generated changes and remain accountable for their correctness, security and maintainability Integrate applications with enterprise systems and AI services through APIs, supporting features such as summarization or semantic search with appropriate authentication, data consistency, output validation and fallback behavior Write automated unit, integration and end-to-end tests. Demonstrate features against agreed business scenarios, incorporate user feedback and make validation gaps visible Contribute to CI/CD pipelines and deployment automation; support releases, application monitoring and production troubleshooting Diagnose issues across the stack using logs, traces and test evidence, distinguishing requirement gaps from implementation defects and test failures Improve existing codebases through focused refactoring, peer reviews and documentation; communicate delivery risks and propose practical improvements within the agreed scope Requirements Five years in software development, with frontend and backend experience and independent delivery of production features Strong proficiency in C#/.NET with sound knowledge of API design and application architecture Solid JavaScript/TypeScript skills and practical experience with React, Angular or a comparable framework, including responsive, accessible interfaces and application state management Experience with SQL and/or NoSQL databases, data modeling, schema changes, query performance and data consistency trade-offs Practical experience with cloud-hosted applications, preferably Azure, and working knowledge of containerization, CI/CD and infrastructure as code Strong automated testing, debugging, Git and code review skills, with experience addressing application security, reliability and performance Practical experience using AI coding assistants or agents, including supplying requirements and repository context, checking generated code, diagnosing failures and following project data-handling rules Practical exposure to integrating LLM APIs through a project or prototype, with a basic understanding of prompts, output validation, data privacy and usage costs Ability to clarify business workflows and turn them into implementable requirements and acceptance scenarios, including behavior inferred from existing applications Clear communication with technical and non-technical stakeholders; willingness to ask questions, challenge unsupported assumptions and escalate risks early Ownership of feature quality through implementation, deployment and user feedback, with effective collaboration across product and engineering Nice to have Experience with retrieval-augmented generation (RAG) or managed cloud AI services, particularly on Azure Experience with identity and access management, event-driven integrations or enterprise application modernization Deeper experience with Kubernetes, infrastructure as code or application observability Experience in automotive or other enterprise environments, and participation in client workshops or user acceptance sessions We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Company’s pension plan Private healthcare insurance Safety & life insurance Gym discounts Wellness Grant (SEK 2000) Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses *All benefits and perks are subject to certain eligibility requirements Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Enterprise Architects bridge business strategy and technology, shaping internal initiatives and client engagements in Goteborg through onsite collaboration. You define target architectures and transformation roadmaps, guiding delivery teams and stakeholders to balance business value, cost, risk and maintainability. The role spans technical selling, client-facing projects and alignment to specific accounts based on business priority. You independently lead architecture for business domains or transformation initiatives, working with leaders, product teams, solution architects and specialists to ensure decisions align with enterprise direction. This position matters because it drives sustainable technology choices that support organizational growth. Responsibilities Translate business goals into capability assessments, architecture requirements and prioritized transformation roadmaps Assess the current business, application, data and technology landscape; define target and transition architectures that address dependencies and legacy constraints Identify opportunities to simplify application portfolios, reduce duplication and technical debt, and reuse enterprise capabilities Guide architecture decisions across initiatives, maintaining principles, reference patterns, decision records and clear governance for exceptions Work with delivery teams from discovery through implementation, reviewing designs and resolving cross-system dependencies and architectural risks Address security, privacy, resilience and regulatory requirements with relevant specialists, balancing delivery needs with enterprise standards Facilitate stakeholder workshops and architecture reviews, communicate trade-offs clearly and mentor solution architects and technical leads Support client discovery and technical proposals with feasible solution options, vendor assessments, estimates, risks and business cases, including total cost of ownership Assess where AI can support business capabilities and advise on data readiness, integration, security and governance in collaboration with AI specialists Requirements Ten years of relevant IT experience, including three years in enterprise, domain or solution architecture within complex organizations Experience leading architecture for at least one transformation initiative spanning multiple systems or business functions, from assessment and target design through implementation Practical experience in business capability and process mapping, application portfolio assessment and development of target architectures and transition roadmaps Strong understanding of integration patterns, APIs, data architecture, cloud and hybrid environments, and non-functional requirements such as security, scalability, and resilience Ability to apply enterprise architecture frameworks and modeling tools pragmatically, producing clear diagrams, standards and decision records that teams use in delivery Business and financial judgment to compare technology options, assess vendors, and explain cost, benefit, risk and return-on-investment trade-offs Strong communication and facilitation skills in English, including client workshops and discussions with senior business stakeholders; ability to build agreement across teams without formal authority Working understanding of privacy, regulatory and industry requirements, with experience translating them into architecture decisions alongside relevant specialists Working understanding of enterprise AI and generative AI use cases, limitations and key architecture considerations, including data privacy, human oversight and integration with existing systems Nice to have Experience in federated enterprises or regulated industries Exposure to evaluating or integrating AI-enabled enterprise products or supporting an AI adoption initiative Relevant architecture or cloud certifications, such as TOGAF or ArchiMate; equivalent applied experience is equally valuable A degree in technology or a related discipline, or equivalent professional experience We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Company’s pension plan Private healthcare insurance Safety & life insurance Gym discounts Wellness Grant (SEK 2000) Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses *All benefits and perks are subject to certain eligibility requirements Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Enterprise Architects bridge business strategy and technology, shaping internal initiatives and client engagements in Goteborg through onsite collaboration. You define target architectures and transformation roadmaps, guiding delivery teams and stakeholders to balance business value, cost, risk and maintainability. The role spans technical selling, client-facing projects and alignment to specific accounts based on business priority. You independently lead architecture for business domains or transformation initiatives, working with leaders, product teams, solution architects and specialists to ensure decisions align with enterprise direction. This position matters because it drives sustainable technology choices that support organizational growth. Responsibilities Translate business goals into capability assessments, architecture requirements and prioritized transformation roadmaps Assess the current business, application, data and technology landscape; define target and transition architectures that address dependencies and legacy constraints Identify opportunities to simplify application portfolios, reduce duplication and technical debt, and reuse enterprise capabilities Guide architecture decisions across initiatives, maintaining principles, reference patterns, decision records and clear governance for exceptions Work with delivery teams from discovery through implementation, reviewing designs and resolving cross-system dependencies and architectural risks Address security, privacy, resilience and regulatory requirements with relevant specialists, balancing delivery needs with enterprise standards Facilitate stakeholder workshops and architecture reviews, communicate trade-offs clearly and mentor solution architects and technical leads Support client discovery and technical proposals with feasible solution options, vendor assessments, estimates, risks and business cases, including total cost of ownership Assess where AI can support business capabilities and advise on data readiness, integration, security and governance in collaboration with AI specialists Requirements Ten years of relevant IT experience, including three years in enterprise, domain or solution architecture within complex organizations Experience leading architecture for at least one transformation initiative spanning multiple systems or business functions, from assessment and target design through implementation Practical experience in business capability and process mapping, application portfolio assessment and development of target architectures and transition roadmaps Strong understanding of integration patterns, APIs, data architecture, cloud and hybrid environments, and non-functional requirements such as security, scalability, and resilience Ability to apply enterprise architecture frameworks and modeling tools pragmatically, producing clear diagrams, standards and decision records that teams use in delivery Business and financial judgment to compare technology options, assess vendors, and explain cost, benefit, risk and return-on-investment trade-offs Strong communication and facilitation skills in English, including client workshops and discussions with senior business stakeholders; ability to build agreement across teams without formal authority Working understanding of privacy, regulatory and industry requirements, with experience translating them into architecture decisions alongside relevant specialists Working understanding of enterprise AI and generative AI use cases, limitations and key architecture considerations, including data privacy, human oversight and integration with existing systems Nice to have Experience in federated enterprises or regulated industries Exposure to evaluating or integrating AI-enabled enterprise products or supporting an AI adoption initiative Relevant architecture or cloud certifications, such as TOGAF or ArchiMate; equivalent applied experience is equally valuable A degree in technology or a related discipline, or equivalent professional experience We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Company’s pension plan Private healthcare insurance Safety & life insurance Gym discounts Wellness Grant (SEK 2000) Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses *All benefits and perks are subject to certain eligibility requirements Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

As an AI Architect focused on agentic AI and enterprise platforms, you shape how organizations design and implement advanced AI solutions. In Goteborg, you independently own architecture for defined solutions or platform workstreams, collaborating onsite with client enterprise architects and specialists in security, identity, data and integration. You translate business needs into practical architectures, evaluate technology choices, and guide delivery from initial design through production adoption. This role matters because it enables enterprise clients to realize the value of agentic AI through robust, scalable and secure platforms. Responsibilities Translate business use cases and constraints into architecture requirements, measurable success criteria and an achievable implementation roadmap Develop target architectures, integration designs, and reusable patterns for AI solutions and platform capabilities, aligned with enterprise standards Evaluate models, agent frameworks, orchestration approaches, and enterprise platforms against quality, security, interoperability, reliability, latency and cost requirements Collaborate with domain specialists to address identity, authorization, data access, tool integration and interoperability across vendor platforms and existing systems Build focused prototypes or reference implementations, review technical designs and help engineers resolve architectural issues as solutions move into production Define evaluation criteria, observability, human oversight, failure handling and operational controls with engineering, security and responsible-AI teams Facilitate architecture workshops, reconcile input from client teams and vendors and document decisions, trade-offs, dependencies and implementation guidance Guide teams in applying agreed patterns and standards, mentor engineers on architecture and use delivery feedback to improve the design Translate relevant developments in agentic AI into practical recommendations grounded in client needs and implementation evidence Requirements Seven years of experience in software engineering, cloud platforms, data/AI engineering or solution architecture, including two years owning architecture or leading technical design Two years designing or delivering AI solutions, including recent hands-on work with LLM-based applications Architecture or technical design ownership of at least one LLM-based solution deployed to production, with the ability to explain integration choices, evaluation results and operational lessons Practical experience with model selection, retrieval-augmented generation (RAG), tool use and agent orchestration, including the judgment to choose between agentic workflows and simpler approaches Experience designing solutions in a complex enterprise environment; strong knowledge of at least one cloud or enterprise AI platform, APIs, integration patterns, identity and access control Proficiency in Python or another relevant language sufficient to build prototypes, review implementation choices and investigate integration issues Practical understanding of evaluation, deployment, monitoring and cost management, together with data protection, prompt-injection risks, tool permissions and human oversight Ability to produce clear diagrams, decision records and implementation guidance; facilitate client workshops; and explain technical trade-offs to engineers and business stakeholders Ability to structure ambiguous requirements, work across teams and vendors and build agreement without formal authority, while escalating decisions beyond the workstream's scope Nice to have Experience with multiple enterprise AI platforms, shared agent services or centralized capabilities for agent registration, policy enforcement, and monitoring Familiarity with Model Context Protocol (MCP), agent-to-agent interoperability, tool gateways, execution sandboxing, agent identity or knowledge graphs Experience turning architecture patterns into adopted standards across teams in a large or federated enterprise Familiarity with responsible-AI governance and the EU AI Act, and experience working with legal, risk or compliance specialists Experience in automotive, manufacturing or similarly complex enterprise environments We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Company’s pension plan Private healthcare insurance Safety & life insurance Gym discounts Wellness Grant (SEK 2000) Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses *All benefits and perks are subject to certain eligibility requirements Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Full Stack Developers in Goteborg design, build and improve web applications that support real business workflows, including practical AI-enabled features. You own features across frontend, backend and data layers, from requirements clarification through production delivery. Working onsite with product owners, architects, designers and client stakeholders, you combine hands-on engineering with precise specifications, responsible use of AI development tools and validation of business outcomes. This role matters because it drives the creation of robust, user-focused solutions that enhance enterprise operations. Responsibilities Understand how users work, clarify requirements with product owners and domain experts, and surface assumptions, dependencies and constraints before implementation Translate agreed requirements into buildable feature specifications and testable acceptance criteria, covering business rules, data flows, permissions, edge cases and failure scenarios Design, implement and maintain frontend components, backend services, REST APIs and data models within the agreed architecture; explain technical trade-offs and raise decisions that affect other systems Use AI coding assistants and agents to support implementation, testing and refactoring. Provide clear context and constraints, review generated changes and remain accountable for their correctness, security and maintainability Integrate applications with enterprise systems and AI services through APIs, supporting features such as summarization or semantic search with appropriate authentication, data consistency, output validation and fallback behavior Write automated unit, integration and end-to-end tests. Demonstrate features against agreed business scenarios, incorporate user feedback and make validation gaps visible Contribute to CI/CD pipelines and deployment automation; support releases, application monitoring and production troubleshooting Diagnose issues across the stack using logs, traces and test evidence, distinguishing requirement gaps from implementation defects and test failures Improve existing codebases through focused refactoring, peer reviews and documentation; communicate delivery risks and propose practical improvements within the agreed scope Requirements Five years in software development, with frontend and backend experience and independent delivery of production features Strong proficiency in at least one backend stack, such as C#/.NET, Node.js or Python, with sound knowledge of API design and application architecture Solid JavaScript/TypeScript skills and practical experience with React, Angular or a comparable framework, including responsive, accessible interfaces and application state management Experience with SQL and/or NoSQL databases, data modeling, schema changes, query performance and data consistency trade-offs Practical experience with cloud-hosted applications, preferably Azure, and working knowledge of containerization, CI/CD and infrastructure as code Strong automated testing, debugging, Git and code review skills, with experience addressing application security, reliability and performance Practical experience using AI coding assistants or agents, including supplying requirements and repository context, checking generated code, diagnosing failures and following project data-handling rules Practical exposure to integrating LLM APIs through a project or prototype, with a basic understanding of prompts, output validation, data privacy and usage costs Ability to clarify business workflows and turn them into implementable requirements and acceptance scenarios, including behavior inferred from existing applications Clear communication with technical and non-technical stakeholders; willingness to ask questions, challenge unsupported assumptions and escalate risks early Ownership of feature quality through implementation, deployment and user feedback, with effective collaboration across product and engineering Nice to have Experience with retrieval-augmented generation (RAG) or managed cloud AI services, particularly on Azure Experience with identity and access management, event-driven integrations or enterprise application modernization Deeper experience with Kubernetes, infrastructure as code or application observability Experience in automotive or other enterprise environments, and participation in client workshops or user acceptance sessions We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Company’s pension plan Private healthcare insurance Safety & life insurance Gym discounts Wellness Grant (SEK 2000) Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses *All benefits and perks are subject to certain eligibility requirements Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.