Synechron
From Synechron's careers page
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As a global consulting firm, we combine creativity with advanced technology to deliver innovative solutions across industries.
At Synechron, we harness the power of digital transformation to drive business success. As a global consulting firm, we combine creativity with advanced technology to deliver innovative solutions across industries. Recognized with multiple employer awards, we are committed to building strong expert teams and a collaborative, high-impact work environment.
We are hiring an AI Architect
Hybrid working model – Novi Sad or Belgrade
Role Description
We are seeking an experienced AI Architect to define, govern, and drive enterprise AI architecture initiatives across large-scale AI ecosystems, platforms, and transformational programs. In this role, you will lead the architectural strategy for Generative AI, RAG, AI Agents, Multi-Agent Systems, and Enterprise AI Platforms, ensuring alignment with business objectives, security requirements, and enterprise technology standards.
As a key technical leader, you will establish architectural principles, technology roadmaps, governance frameworks, and implementation standards while working closely with engineering teams to deliver scalable, secure, and production-ready AI solutions. You will act as a trusted advisor to both business and technology stakeholders, guiding architectural decisions, evaluating emerging technologies, and driving enterprise adoption of AI capabilities.
Define and drive enterprise architecture for AI, Generative AI, RAG, AI agents, and multi-agent ecosystems.
Establish AI platform strategies, technology roadmaps, architectural standards, and governance frameworks.
Design scalable, secure, and cloud-native AI solutions leveraging Azure AI services and modern architecture patterns.
Translate business requirements into solution architectures and implementation roadmaps.
Guide engineering teams on architecture decisions, performance optimization, technical risks, and production readiness.
Review solution designs, proofs of concept, integrations, data architectures, and MLOps practices to ensure alignment with enterprise standards.
Drive adoption of AI best practices, including LLM architecture, prompt engineering, orchestration frameworks, and Responsible AI principles.
Collaborate with engineering, DevOps, security, and business teams to ensure successful delivery of enterprise AI solutions.
Lead architecture reviews, technology evaluations, and stakeholder discussions while mentoring architects and engineers.
8+ years of experience in Enterprise Architecture, Solution Architecture, AI Architecture, Cloud Architecture, Software Engineering, or related disciplines.
Proven experience designing and delivering large-scale enterprise technology or transformation initiatives.
Strong expertise in Generative AI, LLMs, RAG, AI agents, multi-agent systems, prompt engineering, and modern AI architectures.
Hands-on experience designing enterprise AI platforms and cloud-native solutions on Azure.
Strong knowledge of Azure AI services, APIs, microservices, distributed systems, integrations, and modern architecture patterns.
Experience with MLOps, observability, security, resilience, and operational best practices.
Understanding of Responsible AI, governance, cybersecurity, privacy, compliance, and risk management principles.
Experience leading architectural decisions and collaborating with senior business and technology stakeholders.
Excellent communication, leadership, and stakeholder management skills.
Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or a related field.
Experience in banking, financial services, fintech, capital markets, or other regulated industries.
Experience with LangGraph, LangChain, Semantic Kernel, or similar AI orchestration frameworks.
Experience with Azure Databricks, Microsoft Fabric, Apache Spark, Azure Data Factory, or modern data platforms.
Experience with vector databases, graph databases, knowledge graphs, and advanced retrieval architectures.
Experience leading architecture governance initiatives and enterprise technology strategy programs.
Azure, TOGAF, Kubernetes, Databricks, or Generative AI related certifications.
Competitive compensation package based on experience and skills
Flexible hours and hybrid work options, allowing you to achieve a work-life balance that suits your needs
Private health insurance plan
Access to continuous training, accredited certifications, and a range of resources to help you grow professionally
Personalized leadership training program
FitPass membership to support your well-being and mental health support programs
Comprehensive Referral Rewards Program
For any additional information or questions, feel free to reach out to us at Recruitment-Serbia@synechron.com.
Note: One of the prerequisites for this position is that the prospective candidate must possess a valid work permit for Serbia.
We appreciate the interest of all applicants. Please note that only those whose qualifications closely match the position requirements will be contacted for the next steps. All applications will be handled confidentially.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
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