Solution Architect – Microsoft Low-Code & Copilot Solutions İş İlanı

Responsibilities Support pre-sales activities by analyzing client requirements and mapping them to Microsoft 365 and Power Platform capabilities Develop conceptual and technical solution architectures aligned with Microsoft best practices Design and architect low-code and agentic solutions using Microsoft Copilot, Copilot Studio, Microsoft 365 services, and Dataverse Lead technical design sessions and guide implementation teams to ensure solution feasibility and compliance with cloud standards Implement proof of concept or minimum viable products to validate architectures and demonstrate business value Provide architecture oversight and governance to ensure alignment with enterprise IT and security standards Collaborate with business stakeholders, UX, and engineering teams to ensure solution adoption and user experience Co-lead the Modern Work and Power Platform expert community to share knowledge and reusable assets Mentor engineers and consultants to enhance organizational capabilities in low-code and AI-driven solutions Develop solution offerings, blueprints, and delivery accelerators focused on agentic solutions powered by Microsoft technologies Contribute to practice enablement initiatives to expand competencies across the organization Collaborate with Microsoft field teams and internal stakeholders to align new offerings with product roadmaps and co-sell opportunities

Requirements Experience in solution architecture with at least 7 years in related roles Proven leadership experience in managing technical design and delivery teams Background in pre-sales support and solutioning for Microsoft 365 and Power Platform projects Advanced skills in at least two of the following: Copilot Studio, Microsoft Teams Platform, Power Apps, Power Automate Competency in prompt engineering and grounding techniques for Copilot Studio and Microsoft 365 Copilot Familiarity with Microsoft 365 Copilot, SharePoint, OneDrive for Business, and Entra ID concepts at an intermediate level Understanding of Azure services, DevOps practices, and software development lifecycle processes Experience with application and data integration technologies such as APIs and OAuth Skills in programming with languages like C#, Python, or JavaScript Any Microsoft AI-related certification: AB-100, AB-730, AI-102/103, AI-200, or GH-300 English language proficiency at an advanced level (B2+/C1)

Nice to have Knowledge of AI agent architectures and orchestration frameworks including MCP for integrating custom agents Experience with data retrieval and integration using Microsoft Search, Graph Connectors, and Azure OpenAI with retrieval-augmented generation patterns Expertise in data modeling within Dataverse including security models and managed solutions Familiarity with adoption and change management methodologies such as PROSCI ADKAR Basic knowledge of Microsoft Cloud Security Services

We offer CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT Diversity of tasks and projects Assessment center for objective review of competency level Personal development plan Mentoring programs and leadership development Certification and professional development support Access to learning platforms including more than 2,500 internal courses English courses taught by certified teachers CORPORATE BENEFITS Extra leave days Referral bonuses COMPENSATION PACKAGE Competitive compensation paid in USD Regular salary and performance reviews MEDICAL & HEALTHCARE Private health insurance Well-being events WORKING ENVIRONMENT Recreation areas and kitchens Tea, coffee and snacks Sports equipment and game consoles IT Equipment Microsoft’s Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

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.