Field Solutions Architect, GenAI, Google Cloud Google London, UK Responsibilities Advise our customers by understanding the customer's business process and objectives. Architect AI driven, spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack into overall architecture. Work with customers, demonstrate features, tune models, optimize model performance, profiling, and benchmarking. Troubleshoot and … serving models in a large-scale environment. Build repeatable technical assets such as scripts, templates, reference architectures to enable other customers and internal teams. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. Coordinate regional field enablement with leadership and work with … data pipelines, ML pipelines, and ML training and serving approaches. Understanding of nearest neighbor search concepts. About the job As a Generative AI Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud's AI/ML and Generative AI technology with AI native customers, large enterprises, and early More ❯
developer platforms, tools, and services. Hands on experience with DevOps and engineering tools (GitLab, GitHub, Azure DevOps, Docker, Kubernetes). Proficiency with AI/ML and MLOps platforms (Databricks, Google Cloud Vertex AI, SageMaker). Familiarity with generative AI technologies and frameworks (OpenAI, GoogleGemini, Hugging Face Transformers). Demonstrated success in developing and executing product strategies. More ❯
strategy, ensuring alignment with enterprise technology standards, security frameworks, and governance principles. Design and oversee the implementation of LLM-based applications, integrating large-scale models such as GPT, Claude, Gemini, or custom fine-tuned models into enterprise systems. Partner with business and technology stakeholders to identify high-value AI use cases across automation, natural language processing, knowledge management, and More ❯
diverse client needs. ● Design and implement LLM-powered applications and workflows using open source models such as Llama, Qwen and Gemma, as well as those online models from OpenAI, Gemini, etc. ● Build AI agents with tool/function calling, prompt engineering and appropriate guardrails using frameworks such as OpenAI AgentSDK, LangGraph or LlamaIndex. ● Implement testing and evaluation frameworks for More ❯
into production systems Practical knowledge of LangChain, LlamaIndex, and LangGraph for LLM orchestration and data retrieval Experience with LLM fine-tuning, prompt engineering, and API integration (e.g., OpenAI, Anthropic, Gemini) Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and modern CI/CD workflows Strong grasp of software engineering best practices, including testing, version control, and scalable architecture More ❯
into production systems Practical knowledge of LangChain, LlamaIndex, and LangGraph for LLM orchestration and data retrieval Experience with LLM fine-tuning, prompt engineering, and API integration (e.g., OpenAI, Anthropic, Gemini) Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and modern CI/CD workflows Strong grasp of software engineering best practices, including testing, version control, and scalable architecture More ❯
Senior Software Engineer, Site Reliability Engineering, Gemini Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply Bachelor's degree in Computer Science, a related field, or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience in … Multimodal Machine Learning. About the job Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services-both our internally critical and our externally-visible systems-have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE's … existing systems, building infrastructure and eliminating work through automation. On the SRE team, you'll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its More ❯
Design and build complex, full-stack solutions from inception through to production. This includes engineering agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem : Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to structure and enrich More ❯
ways. Role Overview As a Full Stack Commerce Engineer Manager , you will: Lead client-facing engagements and design AI-powered solutions. Build full-stack applications integrating Generative AI (OpenAI, GoogleGemini, Nvidia). Architect data flows across enterprise platforms (DAM, PXM, CDP, CMS, CRMs). Work with cloud platforms (Azure/GCP) and advanced databases (SQL/NoSQL More ❯
ways. Role Overview As a Full Stack Commerce Engineer Manager , you will: Lead client-facing engagements and design AI-powered solutions. Build full-stack applications integrating Generative AI (OpenAI, GoogleGemini, Nvidia). Architect data flows across enterprise platforms (DAM, PXM, CDP, CMS, CRMs). Work with cloud platforms (Azure/GCP) and advanced databases (SQL/NoSQL More ❯
enablement, or internal communications Knowledge of AI ethics, compliance frameworks, or responsible AI guidelines Experience designing and optimizing prompts for large language models or generative AI platforms (e.g., OpenAI, GoogleGemini, Adobe Firefly), ideally including proprietary in-house models. Familiarity with change management frameworks to effectively manage transitions and drive adoption, a plus. What's In It for More ❯
you'll need: Cloud & Infrastructure: GCP Infrastructure as Code: Terraform. Containerization/Orchestration: Kubernetes and/or Docker. Programming/Scripting: Python. AI/ML: Claude/Claude Code, Google Gemini. If you would like to have a confidential conversation and find out more about this opportunity, then get in touch with Maria Ciprini at Harrington Starr or click More ❯
experienced AI engineer with strong software development foundations and an appetite for ownership in a fast-moving start-up environment. Tech & Tools You’ll be working with: LLMs: ChatGPT, Gemini, and other models via a switching system. Database: Supabase and vector databases for memory and user data handling. Backend & Infrastructure: Python, Node.js, or equivalent. Frontend Collaboration: Understanding of app More ❯
of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary It is crucial that the candidates have experience with the Agentic AI framework, specifically with tools like LangGraph and Google ADK. These skills are essential for the role. We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems … and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic More ❯
of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary It is crucial that the candidates have experience with the Agentic AI framework, specifically with tools like LangGraph and Google ADK. These skills are essential for the role. We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems … and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic More ❯
generative AI models and implementations. Create and maintain documentation for generative AI models and their applications. Communicate complex technical concepts and findings to non-technical stakeholders. Qualifications: Experience with GoogleGemini LLM and GCP cloud infrastructure. Strong understanding of LLM capabilities and limitations. Background of solution development in cloud infrastructure. Experience with optimizing Gen AI prompts for performance More ❯
ASAP on the number provided within this advert. I answer all calls or call back The Role Join a global leader in digital experience as we launch our new Gemini-powered AI platform. We're building a new team in London and hiring for a Senior Forward Deployed Engineer to help enterprise clients unlock the full power of LLM More ❯
Minneapolis, Minnesota, United States Hybrid/Remote Options
Cognizant
As a Google AI Solution Architect you will make an impact as the primary point of contact for all Google AI domain-related queries and issues. You will be a valued member of the team and work collaboratively with management, team members and client. You will be responsible for designing, building, and deploying scalable, robust, multi-agent systems … using Google's Agent Development Kit (ADK), the Agent-to-Agent (A2A) protocol, and related tooling. You will partner with engineering teams, product stakeholders, and domain experts to translate business/functional requirements into agentic architectures that maximize modularity, reliability, and performance. You drive best practices for agent orchestration, inter-agent communication, state management, tool integrations, and cloud deployment … especially on Google Cloud/Vertex AI). Your role is at the intersection of architecture, AI/ML, dev tools, and systems engineering. You must have deep familiarity with generative AI, agent frameworks, microservices, and distributed systems, as well as strong design ability to foresee complexity and orchestrate collaboration across agents. We believe hybrid/remote work is More ❯
Princeton, New Jersey, United States Hybrid/Remote Options
Joulé
develop AI agent frameworks: Design and deploy end-to-end RAG pipelines and AI agent workflows using LangGraph, ADK, and Vertex AI. Lead model deployment and optimization: Fine-tune Gemini-based models, improve performance, and manage cost-efficient production pipelines. Establish AI engineering standards: Build and document best practices for scalable, maintainable AI agent development. Collaborate with consulting and … preferred). 6+ years of hands-on experience in system admin/engineering and AI engineering roles. Proven experience designing and implementing AI Agent Frameworks using LangGraph, LangChain, or Google ADK/Agent Engine. Deep expertise in LLMs (e.g., Gemini) and RAG system design. Strong proficiency in Google Cloud Platform (GCP) and Vertex AI. Solid programming skills … after previously working with external consultants-this role will be instrumental in shaping that transition and future roadmap. Ideal Background Successful candidates often come from: Cloud-native AI startups Google Cloud ecosystem companies Enterprise-scale AI/ML platform teams Interview Process Technical assessment (Codabyte test, 1-3 hours on AI frameworks and LLM tools). Two rounds of More ❯
content for both in-person workshops and scalable online formats. A solid, practical understanding of the modern AI ecosystem, with hands-on experience using mainstream systems such as ChatGPT, Gemini, Copilot, and Claude. A firm grasp of more advanced concepts, including agentic AI and the application of AI-driven workflow systems. You must be a natural self-starter, with More ❯
from calls and meetings to events and networking, you’ll do what it takes to get results 3. Work the Edifai Way Harness AI tools like ChatGPT, Copilot and Gemini to boost efficiency and output across your sales activity Bring ideas, energy, and a hunter mindset to every part of the process Operate with autonomy, and collaborate closely with More ❯
position will be the ability to hit research interview targets. Technical Skills Strong technical aptitude and ability to quickly learn software programs. Experience with AI tools (ex. ChatGPT, Perplexity, Gemini). Familiar with survey creation, reporting, data analysis and visualization tools. How We Work Hybrid. Best of both worlds (remote & in-office) You and your team will be in More ❯
San Jose, California, United States Hybrid/Remote Options
US Tech Solutions, Inc
months contract Job Description: We are seeking a skilled professional with hands-on experience in building and integrating conversational AI solutions using Dialogflow CX/ES, webhooks, and Gemini (Vertex AI). The ideal candidate will be proficient in Node.js/TypeScript and/or Python and have a passion for creating seamless conversational experiences while documenting and sharing … Design, build, and maintain conversational flows and integrations using Dialogflow CX/ES. Develop and manage webhooks, RESTful APIs, and OAuth2-based authentication flows for AI-driven applications. Integrate Gemini (Vertex AI) models to enhance natural language understanding and response generation. Collaborate with cross-functional teams to implement and test end-to-end conversational experiences. Create developer-focused content … Troubleshoot issues, optimize performance, and ensure smooth deployment of conversational agents across channels. Experience: Proven experience with Dialogflow CX and/or ES, webhook development, and Vertex AI/Gemini integration. Strong programming skills in Node.js and/or Python, with familiarity in TypeScript. Solid understanding of REST APIs, JSON, and OAuth2 authentication. Excellent technical writing and communication skills More ❯
