Solution Architect (AI oriented)

About the role

Synechron is seeking an experienced AI Architect to define, govern, and drive enterprise AI architecture initiatives across large‑scale AI ecosystems, platforms, and transformational programs. The role focuses on Generative AI, Retrieval‑Augmented Generation (RAG), AI agents, multi‑agent systems, and enterprise AI platforms, ensuring alignment with business goals, security, and technology standards.

Key responsibilities

• Define and drive enterprise architecture for Generative AI, RAG, AI agents, and multi‑agent ecosystems.
• Establish AI platform strategies, technology roadmaps, architectural standards, and governance frameworks.
• Design scalable, secure, 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 for enterprise alignment.
• 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, stakeholder discussions, and mentor architects and engineers.

Required profile

• 8+ years of experience in Enterprise Architecture, Solution Architecture, AI Architecture, Cloud Architecture, or related fields.
• 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.
• Understanding of Responsible AI, governance, cybersecurity, privacy, compliance, and risk management.
• Excellent communication, leadership, and stakeholder management skills.
• Bachelor’s or Master’s degree in Computer Science, Engineering, AI, Data Science, or a related field.

Required skills

• Azure AI services
• Azure cloud platform
• Generative AI
• Large Language Models (LLMs)
• Retrieval‑Augmented Generation (RAG)
• AI agents & multi‑agent systems
• Prompt engineering
• MLOps
• Azure Databricks
• Microsoft Fabric
• Apache Spark
• Azure Data Factory
• Vector databases
• Graph databases
• Knowledge graphs
• TOGAF
• Kubernetes
• Databricks

What we offer

• Competitive compensation package based on experience and skills
• Flexible hours and hybrid work options
• Private health insurance plan
• Access to continuous training, accredited certifications, and professional development resources
• Personalized leadership training program
• FitPass membership and mental health support programs
• Comprehensive Referral Rewards Program