Generative ai architect

We are seeking an experienced Gen AI Lead / Architect to drive the design and development of cutting-edge Generative AI solutions, leveraging advanced orchestration frameworks and graph/vector databases.

The ideal candidate is hands-on, with deep technical expertise in building scalable AI architectures, and experienced in leading end-to-end solution design on modern orchestration platforms.ResponsibilitiesArchitect and design scalable Gen AI solutions that integrate with Temporal for workflow orchestration.Build and optimize retrieval-augmented generation (RAG) pipelines using pgvector for vector similarity search and Apache AGE for graph-based reasoning.Collaborate with data scientists, ML engineers, and product teams to design AI-driven business solutions.Establish patterns and reusable frameworks for Gen AI applications, ensuring performance, reliability, and maintainability.Evaluate new Gen AI models, services, and orchestration strategies to accelerate business adoption.Ensure data privacy, compliance, and security across AI workflows and integrations.Required SkillsProven expertise in Generative AI solution architecture and applied machine learning workflows.Proficiency with Temporal for orchestrating complex workflows.Strong knowledge of vector databases and embeddings, with hands-on experience using pgvector.Experience in graph databases, ideally Apache AGE, for building knowledge graphs and advanced reasoning.Strong programming skills in PythonUnderstanding of LLM fine-tuning, RAG, prompt engineering, and model deployment strategies.Experience working with cloud platforms such as Microsoft Azure is a strong plusQualificationsBachelor’s or Master’s degree in Engineering.6+ years of overall work experience, out of which at least 3+ years in AI solution development.Demonstrated success in delivering enterprise-grade AI solutions.Why Join usAt Grid Dynamics, you will be at the forefront of enterprise AI innovation.

Our team pioneers cutting-edge AI solutions that transform industries by driving automation, intelligent decision-making, and hyper-personalized customer experiences.

Through initiatives like the Temporal Agentic AI Platform and the AI-Native Development Framework, Grid Dynamics empowers engineers and AI professionals to build scalable, reliable AI systems that solve complex business challenges.

With deep partnerships across cloud and AI leaders like Google Cloud and Microsoft, working here means having access to the latest generative AI, machine learning, and automation technologies to create impactful solutions that drive real-world business growth and innovation.