cloud ai engineer

adconova GmbH

Effizienz&sup2;Deine Experten f&uuml;r Technical FinOps und AI CoachingGegr&uuml;ndet im Jahr 2021, b&uuml;ndelt adconova tiefgreifendes Expertenwissen aus den Bereichen Cloud und DevOps, um die digitale Transformation greifbar und messbar zu machen. Mit unserem Team agieren wir deutschlandweit als strategischer Partner f&uuml;r Unternehmen, die technologische Exzellenz mit wirtschaftlicher Vernunft vereinen wollen.Unsere Kernkompetenzen:- Technical FinOps: Wir bringen Transparenz in komplexe Cloud-Strukturen und optimieren Ihre Ausgaben durch pr&auml;zises Kosten-Monitoring und Effizienzanalysen geb&uuml;ndelt mit technischer Umsetzung von Anpassungen.- AI Empowerment &amp; Coaching: Wir professionalisieren den Einsatz generativer KI dort, wo der echte Mehrwert entsteht &ndash; direkt am Arbeitsplatz Ihrer Mitarbeitenden. Unser Fokus liegt auf der Befreiung von Routinet&auml;tigkeiten durch ma&szlig;geschneiderte &bdquo;Side-by-Side&ldquo;-L&ouml;sungen.Aufgaben<ul><li>Beratung unserer Kunden bez&uuml;glich des Einsatzes von AI bzgl. Produktivit&auml;ts- und Effizienzsteigerung von Mitarbeitenden (von IT-fremd bis hin zu Development-Teams) und Prozessen</li><li>Durchf&uuml;hrung von Trainings, Workshops und One-on-One-Sessions zu allem rund um AI mit unseren Kunden</li><li>Analyse und Identifikation von AI-Use-Cases in Kundenumgebungen</li><li>Bewertung aktueller AI-Technologien und -Plattformen, pr&uuml;fen von L&ouml;sungskonzepten und Anwendung von Best Practices auf Kundensituationen</li><li>Du erm&ouml;glichst unseren Kunden durch den Einsatz von AI eine erhebliche Effizienzsteigerung</li><li>Konzeption und Aufbau von AI- und Chatbot-L&ouml;sungen</li><li>Entwickelung und Implementieren KI-gest&uuml;tzter L&ouml;sungen f&uuml;r die Automatisierung komplexer Prozesse</li><li>Arbeit auf Plattformen, wie Google Cloud Platform oder auch AWS, Azure, AliBaba Cloud oder hybriden Umgebungen</li><li>Mitarbeit an Kundenprojekten im Kontext Technical FinOps, Cloud Governance, Architektur, Kubernetes, Migrationsstrategien, AI Plattformen</li><li>&Uuml;bersetzen von Anforderungen in skalierbare Architekturen und robuste Systeme</li></ul>Qualifikation<ul><li>Erfahrungen mit Public Clouds (Google Cloud Platform oder AWS, AliBaba Cloud oder Azure)</li><li>Erfahrungen mit modernen KI-Technologien (vgl. GenAI, Claude, Gemini, MS Copilot, ChatGPT, OpenWebUI)</li><li>Fundierte Erfahrung mit Daten- und RAG-Pipelines</li><li>Erfahrung mit Kubernetes, Automatisierung, Terraform o.&Auml;.</li><li>Kenntnisse in Datenschutz, IT-Security und dem AI Act sind ein Plus</li><li>Programmier- und/oder Skripting-Skills (Python, Go, etc.)</li><li>Expertise in DevOps-Methoden</li><li>Erfahrung in der Entwicklung und Implementierung von KI- oder datengetriebenen L&ouml;sungen</li><li>Flie&szlig;end Deutsch und Englisch</li></ul>Benefits<ul><li>Unterschiedlichste offline (6-7 mal pro Jahr) und online Teamevents</li><li>JobRad, Option Firmenwagen, corporate benefits und ein Referral Programm, ebenso eLearning-Tools f&uuml;r alle Arten der Weiterbildung</li><li>Individuelle Hardware-Auswahl (Notebook, Smartphone, etc.) und OS</li><li>Durch unsere noch &uuml;berschaubare Gr&ouml;&szlig;e, kannst Du Dich unterschiedlichster technischer und organisatorischer Themen annehmen und mitgestalten</li><li>Remote-first Strategie (in Deutschland) und dennoch die Option unser Office in Weiterstadt zu nutzen</li></ul>... und da kommt sicherlich noch mehr ;)Wenn Du Dich in all dem siehst, dann freuen wir uns von Dir zu h&ouml;ren und in einem ersten Austausch herauszufinden, ob wir denn zusammen passen.Melde Dich gerne auch bei Fragen schon vorab bei Andr&eacute; (HR &amp; Recruiting) unter +49 171 2190101 oder via Mail.Bis bald,Dein adconova-TeamGehalt: 47.000,00&euro; - 100.000,00&euro; pro JahrLeistungen:<ul><li>Betriebliche Weiterbildung</li><li>Empfehlungsprogramm</li><li>Erfolgsbeteiligung</li><li>Firmenevents</li><li>Firmenhandy</li><li>Firmenwagen</li><li>Flexible Arbeitszeiten</li><li>Homeoffice-M&ouml;glichkeit</li><li>Kostenlose Getr&auml;nke</li><li>Kostenloser Parkplatz</li><li>Mentoring-Programm f&uuml;r Mitarbeiter</li><li>Mitarbeiter-Rabatt</li></ul>Sprache:<ul><li>Deutsch (Erforderlich)</li></ul>Arbeitsort: Zum Teil im Homeoffice in 64331 Weiterstadt

Cloud & AI Engineer (m/w/d)

Infosys

<div><h2 class="jobSectionHeader">Job Description:</h2> 
<ul>
<li>We are seeking a highly skilled Generative AI Engineer with 5 years of software engineering experience and strong expertise in AWS and Azure cloud platforms</li>
<li>The ideal candidate should have hands on experience designing developing deploying and optimizing LLM based applications RAG pipelines AI agents and enterprise grade GenAI solutions</li>
<li>The role requires strong proficiency in Python cloud native development MLOps practices and modern AI frameworks</li></ul> 
<h2 class="jobSectionHeader">
Key Responsibilities:</h2> 
<ul>
<li>Design develop and deploy enterprise scale Generative AI solutions using LLMs and foundation models</li>
<li>Build and optimize Retrieval Augmented Generation RAG pipelines for knowledge based applications</li>
<li>Develop intelligent AI agents and workflows using LangChain LangGraph Semantic Kernel CrewAI or similar frameworks</li>
<li>Integrate GenAI solutions with enterprise systems APIs databases and third party services</li>
<li>Implement prompt engineering prompt tuning and LLM evaluation frameworks</li>
<li>Deploy monitor and scale AI applications on AWS and Azure cloud environments</li>
<li>Design secure and scalable cloud architectures leveraging serverless and containerized services</li>
<li>Implement CI CD pipelines and MLOps best practices for model deployment and lifecycle management</li>
<li>Collaborate with Data Scientists ML Engineers Product Owners and Architects to deliver business focused AI solutions</li>
<li>Monitor model performance latency cost optimization hallucination control and overall system reliability</li>
<li>Stay updated on advancements in LLMs Agentic AI Multi Agent Systems Vector Databases and Cloud AI services</li></ul> 
<h2 class="jobSectionHeader">
Technical Requirements:</h2> 
<ul>
<li>GenAI Generative AI LLM RAG LangChain LangGraph Semantic Kernel Agentic AI AI Agents AWS Bedrock Azure OpenAI Azure AI Studio Prompt Engineering Vector Database Pinecone FAISS ChromaDB FastAPI Python AKS EKS Docker Kubernetes MLOps Azure ML OpenSearch Hugging Face</li></ul> 
<h2 class="jobSectionHeader">
Additional Responsibilities:</h2> 
<ul>
<li>Experience with multi agent frameworks and autonomous AI workflows</li>
<li>Knowledge of Responsible AI AI Safety and Governance</li>
<li>Familiarity with model monitoring evaluation and feedback loops</li>
<li>Hands on experience in productionizing GenAI applications</li>
<li>Exposure to distributed systems and microservices architecture</li></ul> 
<h2 class="jobSectionHeader">
Preferred Skills:</h2>
Technology-&gt;AI-Data science-&gt;Machine Learning,Technology-&gt;AI-Generative AI-&gt;Generative AI for Data Analytics,Technology-&gt;Artificial Intelligence-&gt;Artificial Intelligence - ALL</div>

Gen Ai Engineer

McFall Recruitment Limited

<div>
 
 
 AI Solutions Engineer &ndash; Transform business with Agentic AI
 
 
 
 Edinburgh | Permanent | Competitive Salary
 
 
 
 
 
 We&rsquo;re building a next‑generation AI platform that will redefine how wealth managers operate -and we&rsquo;re looking for an
 
 AI Solutions Engineer
 
 who can turn cutting‑edge agentic technology into real commercial value.
 
 
 
 
 
 If you&rsquo;re an AI specialist who wants to work with
 
 Microsoft Foundry
 
 ,
 
 MCP
 
 , and cloud‑native agentic systems - and you&rsquo;re motivated by delivering products that customers actually use - this role gives you the chance to shape a major industry shift.
 
 
 
 
 
 This is a role for someone who wants to build
 
 AI‑powered solutions
 
 , not write traditional software. You&rsquo;ll use agentic frameworks, automation and orchestration tools to deliver features faster, smarter and with meaningful business impact.
 
 
 
 
 
 
 About the Role
 
 
 
 You&rsquo;ll join a team creating a
 
 cloud‑native agentic API
 
 and a suite of AI agents that modernise legacy systems and unlock new capabilities for wealth managers. Your work will directly influence how advisers deliver insights, manage workloads and serve clients.
 
 
 Instead of heavy coding, you&rsquo;ll focus on:
 
 <ul>
 <li>
 Designing intelligent agent workflows
 </li>
 <li>
 Configuring AI behaviours and toolchains
 </li>
 <li>
 Connecting agents to enterprise data through MCP
 </li>
 <li>
 Building automation that reduces operational friction
 </li>
 <li>
 Delivering new features in hours, not weeks
 </li>
 </ul>
 
 Your work will be visible, measurable and tied directly to commercial outcomes.
 
 
 
 
 
 
 What You&rsquo;ll Deliver
 
 
 
 
 AI‑Driven Customer Value
 
 
 <ul>
 <li>
 Build agents that streamline reporting, compliance, onboarding and operational tasks
 </li>
 <li>
 Create chat‑based and workflow agents that improve adviser productivity
 </li>
 <li>
 Modernise vendor APIs with agentic layers that unlock new customer experiences
 </li>
 </ul>
 
 
 
 
 
 Commercial Impact
 
 
 <ul>
 <li>
 Reduce manual processes through automation and remediation agents
 </li>
 <li>
 Enable wealth managers to use language‑model tools safely and effectively
 </li>
 <li>
 Support product teams in shaping AI‑powered features that differentiate the business
 </li>
 </ul>
 
 
 
 
 
 High‑Velocity Delivery
 
 
 <ul>
 <li>
 Use automated testing and CI/CD pipelines to ship features
 
 within an hour
 
 </li>
 <li>
 Rapidly prototype agent behaviours and workflows
 </li>
 <li>
 Continuously refine solutions based on user feedback and business priorities
 </li>
 </ul>
 
 
 
 
 
 Cross‑Functional Collaboration
 
 
 <ul>
 <li>
 Work closely with product, engineering, operations and compliance teams
 </li>
 <li>
 Translate business problems into agentic workflows and AI‑driven solutions
 </li>
 <li>
 Influence strategic decisions around AI adoption and platform evolution
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 
 
 AI Specialist Mindset
 
 
 <ul>
 <li>
 Experience building or orchestrating AI agents, LLM workflows or tool‑calling systems
 </li>
 <li>
 Understanding of MCP, agentic frameworks or similar architectures
 </li>
 <li>
 Ability to design prompts, behaviours and workflows that deliver business outcomes
 </li>
 </ul>
 
 
 Technical Awareness (Minimal Coding Required)
 
 
 <ul>
 <li>
 Familiarity with Azure and cloud‑native patterns
 </li>
 <li>
 Understanding of APIs, tokens and enterprise data flows
 </li>
 <li>
 Comfort with low‑code/no‑code agent frameworks and automation tools
 </li>
 </ul>
 
 
 
 
 
 Commercial &amp; Professional Skills
 
 
 <ul>
 <li>
 Ability to connect AI capabilities to real customer needs
 </li>
 <li>
 Strong communication skills with both technical and non‑technical stakeholders
 </li>
 <li>
 Curiosity, creativity and a drive to experiment with new AI technologies
 </li>
 <li>
 Comfort working in fast‑moving environments with rapid iteration cycles
 </li>
 </ul>
 
 
 
</div>

AI Solutions Engineer

Deloitte

<div>Integration Engineer II, AI &amp; Engineering/Engineering as a Service
 
AI &amp; Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology &amp; data platforms. Our delivery models are tailored to meet each client's unique requirements. 
 
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation. 
 
Recruiting for this role ends on 8/1/26. 
 
Work You'll Do
 
 
You are a hands-on Python and AI Developer who builds, tests, and ships reliable software as part of an agile engineering team. You contribute to the design and implementation of cloud-native applications and AI-augmented features, growing your technical depth across the stack. You will work alongside senior engineers to grow your technical skills while making meaningful contributions to our projects. 
 
Key Responsibilities
 
<ul><li>Support AI and emerging technology initiatives across business and technology teams.
</li><li>Work hands-on with AI/ML, Generative AI, and agentic AI solutions.
</li><li>Help develop and prototype AI use cases that solve real business problems.
</li><li>Evaluate and apply foundation models, LLMs, and modern AI frameworks.
</li><li>Contribute to RAG, memory systems, tool use, and function-calling patterns.
</li><li>Support multi-agent workflows and autonomous AI capabilities.
</li><li>Assist with AI experimentation, proof-of-concepts, and solution testing.
</li><li>Partner with data, engineering, and business teams to move AI solutions toward production.
</li><li>Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.
</li><li>Communicate technical AI concepts clearly to both technical and non-technical audiences.
</li><li>Promote responsible AI practices, including ethics, governance and bias mitigation.
</li><li>Collaborate with product managers, designers, and fellow engineers to translate requirements into technical solutions.
</li><li>Identify, diagnose, and resolve bugs and performance issues in development and production environments.
</li><li>Assist in breaking down technical requirements into well-scoped tasks and estimates.
</li></ul> 
A successful candidate would possess these skills:
 
<ul><li>Ability to work independently and collaborate as part of a team
</li><li>Effective written and verbal communication skills
</li><li>Meticulous attention to detail and quality of work product
</li><li>Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
</li><li>Strong interpersonal skills and professional demeanor
</li><li>Ability to meet deadlines
</li></ul> 
Qualifications - Required
 
<ul><li>4+ years of professional software engineering experience with hands-on experience in Python and ReactJS.
</li><li>3+ years of full system lifecycle development experience, from requirements through production deployment.
</li><li>1+ years' experience in AI/ML, Generative AI, or advanced analytics.
</li><li>2+ years' experience in ML fundamentals and model evaluation.
</li><li>1+ years' experience in LLMs, prompt engineering, fine-tuning, and multimodel AI.
</li><li>2+ years in a client-facing development role, or a demonstrated ability to engage professionally with external stakeholders.
</li><li>Familiarity with agentic frameworks such as LangChain, Strands, or Crew AI.
</li><li>1+ years' experience with vector databases, RAG, and tool/function calling.
</li><li>1+ years' experience with Cloud AI platforms such as AWS Bedrock; Azure or GCP is a plus.
</li><li>Strong understanding of MLOps and CI/CD for AI solutions.
</li><li>Strong verbal and written communication skills with the ability to work effectively in a team environment.
</li><li>Bachelor's degree in computer science, Engineering, or a related discipline.
</li><li>Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
</li><li>Must be currently based in the Baltimore, MD area, Hartford, CT, Atlanta or Minneapolis for onsite work a few days a week.
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
</li></ul> 
In addition, successful Software Engineer II candidates will have the following preferred background:
 
<ul><li>Experience working with global Agile teams and cross-functional teams.
</li><li>Familiarity with CI/CD pipelines and DevOps practices.
</li><li>Interest in mentoring others and taking on increased technical responsibility over time.
</li><li>Industry-recognized cloud certifications (AWS Certified Developer, Azure Developer Associate, GCP Professional Developer, or equivalent).
</li></ul> 
Wages + Salary
 
 
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900 
 
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.</div>

Integration Engineer II - AI and Python Developer

DICETEK LLC

<div>The AI Engineer will be responsible for the design, development, deployment, and support of AI-driven solutions within the Global Markets domain. The role requires strong technical expertise in machine learning, generative AI, and agentic AI frameworks, with a focus on delivering scalable, secure, and future-proof solutions aligned with enterprise architecture standards.
The candidate should possess a bachelor&rsquo;s degree in information systems
General expectation:<ul><li>Collaborate with business and technology stakeholders to understand analytical needs and translate them into AI solutions.</li><li>Design and implement AI/ML pipelines, including data ingestion, model training, evaluation, and deployment.</li><li>Develop and maintain GenAI and agentic AI applications using modern frameworks and cloud-native tools.</li><li>Ensure solutions are aligned with enterprise AI governance, security, and compliance standards.</li><li>Provide production support and continuous improvement for deployed models and applications.</li></ul>
- Contribute to knowledge sharing and capability building within the team.- Respect timelines<ul><li>Good communication skills</li></ul> 
Skillset and experience:<ul><li>8+ years of experience in AI/ML engineering, with recent focus on GenAI and agentic AI.</li><li>Hands-on experience on AWS and Azure.</li><li>Hands-on experience with CrewAI, LangChain, LangGraph, RAG pipelines, and LLM fine-tuning.</li><li>Strong programming skills in Python and experience with FastAPI, REST APIs, and microservices.</li><li>Proficiency in cloud platforms (AWS, Azure) and MLOps tools (Vertex AI, SageMaker, MLflow).</li><li>Experience with DevOps practices including CI/CD, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation).</li><li>Familiarity with vector databases (e.g., FAISS, ChromaDB) and graph-based reasoning (e.g., Neo4j).</li></ul>
Exposure to financial services or Global Markets, specifically Murex is a plus.</div>

AI Engineer – Global Markets

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience.</li>
<li>3 years of experience building machine learning solutions and working with technical customers.</li>
<li>Experience designing cloud enterprise solutions and supporting customer projects to completion.</li>
<li>Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience working with recommendation engines, data pipelines, or distributed machine learning.</li>
<li>Experience with deep learning frameworks (e.g., TensorFlow, XGBoost).</li>
<li>Understanding of the auxiliary practical concerns in production machine learning systems.</li>
<li>Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google&rsquo;s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. 

As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work closely with product management and product engineering to build and constantly drive excellence in our products. 
 
In this role, you are the Google engineer working with Google's largest and most motivated Cloud customers. Together with the team you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more. 
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Be a trusted technical advisor to customers and solve complex machine learning challenges.</li>
<li>Coach customers on the practical challenges in machine learning systems feature extraction and feature definition, data validation, monitoring, and management of features and models.</li>
<li>Work with customers, partners, and Google Product teams to deliver tailored solutions into production.</li>
<li>Create and deliver best practice recommendations, tutorials, blog articles, and sample code.</li>
<li>Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

AI Infrastructure Engineer

<div>Must be a British citizen to meet compliance and security clearance requirements.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree in Engineering, Computer Science, a related field, or equivalent practical experience.</li>
<li>8 years of experience with software development using Python or similar coding languages.</li>
<li>Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).</li>
<li>Experience building pipelines for structured and unstructured data using both vector databases and retrieval augmented generation (RAG) like architectures to power enterprise AI solutions.</li>
<li>Experience leading technical discovery sessions with customers.</li>
<li>Active, or the ability to obtain, a Security Check (SC) UK security clearance.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google&rsquo;s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation.</li>
<li>Experience in a post-sales or technical consulting delivery function.</li>
<li>Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
As an AI Forward Deployed Engineer (FDE) at Google Cloud, you will be the technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as a &quot;builder-consultant,&quot; moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer&rsquo;s environment.
In this role, you will address blocker to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you will serve a dual purpose: providing &quot;white glove&quot; deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud&rsquo;s future product roadmap. 
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol servers) that drive measurable return on investment.</li>
<li>Architect and code the &quot;connective tissue&quot; between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.</li>
<li>Identify repeatable field patterns and technical &quot;friction points&quot; in Google&rsquo;s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.</li>
<li>Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Forward Deployed Engineer, Google Cloud Public Sector

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