GenAI Architect

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000+, and has 58 offices in 22 countries within key global markets.

We are seeking a Generative AI Architect to lead the design and delivery of secure, scalable, enterprise-grade AI solutions. Ideal candidate will define GenAI architecture standards, guide engineering teams, and help transform business opportunities into production-ready applications using large language models, retrieval-augmented generation, AI agents, and cloud technologies.

• Define the organization’s GenAI architecture, strategy, and technical roadmap.
• Design and oversee scalable solutions using LLMs, RAG, vector databases, AI agents, and multimodal AI.
• Evaluate models, platforms, frameworks, and build-versus-buy options.
• Establish standards for prompt engineering, model evaluation, orchestration, and LLMOps.
• Design cloud-native AI platforms, APIs, data pipelines, and integration patterns.
• Ensure solutions meet requirements for security, privacy, governance, performance, and cost.
• Implement safeguards against hallucinations, prompt injection, data leakage, and unauthorized access.
• Lead architecture reviews, proof-of-concepts, and production deployments.
• Partner with product, data, engineering, security, and business stakeholders.
• Mentor technical teams and communicate complex AI concepts to senior leaders.

• Bachelor’s or master’s degree in computer science, AI, Data Science, Engineering, or a related field.
• Experience in software architecture, engineering, machine learning, or data engineering.
• Hands-on experience designing or delivering GenAI or LLM solutions.
• Very strong knowledge of LLMs, embeddings, prompt engineering, RAG, vector search, and model evaluation.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with APIs, microservices, containers, Kubernetes, CI/CD, and distributed systems.
• Understanding of AI security, data privacy, responsible AI, and governance.
• Excellent communication, leadership, and problem-solving skills.
• Experience with Azure OpenAI, Amazon Bedrock, Google Vertex AI, OpenAI, Anthropic, Gemini, or open-source models.
• Familiarity with Lang Chain, Llama Index, Semantic Kernel, MLflow, Databricks, or similar tools.
• Experience with AI agents, fine-tuning, knowledge graphs, or multimodal applications.
• Cloud, AI, machine learning, or data engineering certifications.
• Experience in a regulated industry.

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits…