Job Summary: Our client is seeking a Databricks AI Architect/Engineer with hands-on experience in Databricks Genie and Agent Bricks to build and deploy AI/LLM-based agent solutions on the Databricks platform. Job Title: Databricks AI Architect (Genie & Agent Bricks).
em> Expertise in enterprise integration architecture as applied to AI: event-driven integration patterns for AI-augmented banking workflows, API management strategy for AI capability exposure, synchronous and asynchronous AI service composition, and the specific requirements for embedding AI into core banking systems with the latency, reliability, idempotency, and audit trail guarantees that regulated financial operations require. You can design complete, end-to-end AI solutions spanning LLM integration, AI architecture, Machine Learning Architecture, MLOPs Architecture, Cloud Architecture, Agentic harnesses, agentic workflow composition, data platform dependencies, API integration topology, and production observability.
Working under the strategic direction of the Senior AI Observability Architect (L11), this role translates architecture blueprints into production-grade instrumentation, telemetry pipelines, dashboards, quality gates, and safety signals across agentic AI systems. Responsibilities Observability Platform Engineering & OTEL Integration (25%): Implement OpenTelemetry (OTEL) instrumentation within assigned agent frameworks or platforms including custom exporters, span enrichers, semantic conventions, and context propagation hooks.
We are seeking a highly experienced AI Tools & Testing Architect with deep, hands-on expertise in designing, implementing, and scaling AI-driven solutions across software engineering—particularly in testing, quality engineering, and SDLC optimization. You will act as a technical architect and AI evangelist, guiding organizations in selecting the right AI tools, defining adoption frameworks, and embedding AI responsibly into engineering workflows.
We are hiring a senior AI Testing Architect to design and implement AI-driven solutions across software testing and quality engineering. This is a high-impact individual contributor role with ownership of architecture, implementation, and practical AI adoption across testing workflows.
Richardson, TX30+ days ago
Lead the architecture, design, and delivery of the AIOps platform across observability, automation, self ‘healing, event intelligence, and AI driven operations. Guide engineering teams, drive reliability and SLO strategies, and architect scalable Multi cloud AIOps solutions for enterprise systems.
This is not a generic architect role - it is a high influence, high ownership opportunity to help define how a modern financial institution designs, scales, and operates data platforms on Google Cloud, with a strong focus on enabling data as a product and data as a service capabilities. Deep hands-on expertise with multiple GCP services, including: BigQuery, Bigtable, Pub/Sub, Dataflow (Beam), Cloud Composer, GKE, Apigee, Cloud Storage, Gemini Enterprise Agent Platform.
In addition to creating proof-of-concepts to demonstrate best practices and accelerate adoption, you'll play a key role in driving the evolution of the GenAI platform by identifying gaps, proposing enhancements, and collaborating with platform engineering teams to deliver new capabilities. Help product engineering teams design and implement scalable AI solutions that leverage WKs GenAI platform to drive impact in healthcare, legal, tax, and compliance industries.