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).
Architect Agentic AI ecosystems using LLMs, vector databases, and orchestration frameworks (LangChain, AutoGen, CrewAI). Strong experience with LLMs, prompt engineering, and agent frameworks (LangChain, AutoGen, CrewAI).
The Colony, TX30+ days ago
The role focuses on GenAI strategy, RAG based architecture, automation enablement, and integration within P&C Insurance and Guidewire ecosystems, ensuring secure, scalable, and cost-effective AI adoption. By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes.
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.
This is a high-impact role responsible for driving growth, developing differentiated offerings, and guiding strategic programs to build AI-native solutions across clinical, operational, and administrative domains. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
li>Explore the practical application of this paradigm inDavos Insights: Turning VUCA into Value with Neuro-Symbolic AI. Additionally, you may be eligible to participate in our medical, retirement, and other company-sponsored benefits.
**The above information reflects the expected base salary range, although the lower and upper bounds may vary based on location, skills, experience, certifications, licenses, or other relevant factors..
p>Our ambition goes further: o9 is pursuing a neurosymbolic AI architecture-combining the reasoning power of large language models with the formal rigor of symbolic computation and constraint-based planning. Neurosymbolic Aptitude: Deep, hands-on familiarity with both large language models (generative AI, embeddings, vector databases) and traditional, structured, constraint-based symbolic computation.
p>The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders who possess deep expertise across software design and development, cloud-native architectures, enterprise platforms, data engineering, and emerging technologies, including generative AI and agentic AI. 2247032No5439236410.00.006/17/2026AI ArchitectIn the assigned Job Role of Senior Technologist, your Area Of Responsibility will be as below:
Evaluate project requirements and use cases to deliver high-quality, design, frameworks, and production-ready code work products.
Design and implement agent-based AI workflows for different domains such as : healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation). Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity.
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.
You don't need to be a CRM administrator — we have one — but you're fluent in Hubspot as a power user: you can build and refine reports, lists, and dashboards, navigate workflows and lifecycle stages, and partner with our admin to scope changes, validate what shipped, and drive adoption across the team. You build trust with AEs, account managers, frontline managers, and senior leadership alike — listening for what's actually slowing teams down, partnering on solutions, and driving adoption from the rep level all the way up.
You will work closely with clinical SMEs, healthcare operations experts, and compliance teams to deliver production-grade AI solutions across diagnostics, care coordination, clinical documentation, population health, and operational optimization. Design and implement agent-based AI workflows for healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation).
li>Design and document multi-agent architecture blueprints, AI security architecture blueprints, AI runtime architecture blueprints, AI governance solution blueprints, AI DevOps architecture blueprints, AI infrastructure architecture blueprints, multi-agent solution blueprints, knowledge and data layer blueprints. You will be designing and implementing cutting edge proof-of-concepts and pilots to demonstrate the capabilities of AI technologies to solve complex business problems and for enterprise readiness.
The role focuses on multi-agent architectures, Generative AI, and intelligent automation, enabling business transformation through scalable, secure, and governed AI solutions: Design and implement Azure-based Agentic AI solutions leveraging Azure OpenAI, Azure AI Services, and multi-agent orchestration frameworks for enterprise use cases. Integrate Generative AI, NLP, and ML models into enterprise applications using Azure OpenAI, Cognitive Services, and RAG-based architectures with Azure AI Search.
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.
This is a high-impact role responsible for driving growth, developing differentiated offerings, and guiding strategic programs to build AI-native solutions across clinical, operational, and administrative domains. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EYs Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com. Your responsibilities will include leading the build and deployment of AI-native solutions, partnering with EYs AI & Data (AI&D) team to define and deliver comprehensive, end-to-end AI strategies that address complex business challenges and unlock new opportunities for growth.
As a Lead Cloud Integrated Infra Engineer on the Silicon2Service team in Deloitte's AI & Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure in close partnership with Deloitte AI specialists and our ecosystem partners. Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers.
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.
Dallas, Texas30+ days ago
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.
In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts.
Dallas, Texas30+ days ago
Drive measurable adoption of AI tools within engineering and QA workflows
Compensation: $120,000.00 - $135,000.00 per year
. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal..