• End-to-End-Verantwortung für den gesamten Produktlebenszyklus von Features, APIs und Interfaces rund um Gebäudenachhaltigkeit • Übersetzung von Kundenbedürfnissen und regulatorischen Anforderungen in klare, wirkungsvolle Produkterlebnisse • Definition von Produktlogik, Edge Cases und Datenvalidierung gemeinsam mit unserem AI-, Data- und Software-Team sowie den Gründern • Direkter Austausch mit Kund:innen, um Produktentscheidungen, Positionierung und Differenzierung zu schärfen • Entwicklung klarer Erfolgskriterien, Feedback-Loops und Dokumentation • Aktiver Beitrag zur Go-to-Market-Strategie und kontinuierliche Verbesserung der Marktwirkung

Title: Forward Deployed Engineer, Generative AI, Google Cloud Location: Addison United States Job Description: Apply share - linkCopy link - emailEmail a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Addison, TX, USA; Washington D.C., DC, USA. Minimum qualifications: - Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. - 8 years of experience in Python or other programming languages in machine learning (e.g., Java, C++, Go). - Experience in a client-facing technical role, managing or deploying solutions for customers in the telecommunications industry. - Experience in applied AI, with a focus on designing and evaluating systems around foundation models (e.g., prompt engineering, fine-tuning, Retrieval-augmented generation (RAG), orchestrating model interactions with external tools to deliver solutions). - Experience architecting, deploying, or managing solutions on a cloud platform. Preferred qualifications: - Master's degree in Computer Science, Engineering, or a related technical field. - Experience delivering AI solutions specifically for Telecommunications use cases, such as network optimization, churn prediction, or customer experience enhancement. - Experience with distributed training and optimizing performance versus costs. - Experience training and fine tuning models in large scale environments with accelerators. - Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches. - Understanding of the founder or startup CTO mindset, with a bias for action and applying product insights to solve immediate customer challenges and unlock long-term value. About the job As a Forward Deployed Engineer, you will play a pivotal role in the Google Cloud AI Go-To-Market organization. You will be focused on frontier AI, including Generative AI (GenAI), in a highly-technical customer-facing role. Your primary responsibility is to bridge the gap between AI products and the customer's real-world business problems.You will own end-to-end technical delivery, from understanding a client's needs to architecting, building, and deploying solutions directly for or on the customer's infrastructure. Your role requires a blend of deep technical skill, strategic problem-solving, and strong communication with significant customer collaboration and travel often required. Your primary responsibility will be to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to various clientele ranging from early stage startups to prominent, established companies. You will be a hybrid professional, blending the core competencies of an engineer with an aptitude for customer engagement and strategic problem-solving. Your role will require you to lead with deep, bespoke implementation as the primary value proposition, ensuring that core technology delivers demonstrable value in the customer's unique operational context. You will have close collaboration with product and engineering teams to eliminate obstacles and shape the future trajectory of offerings. You will be adept at disseminating lessons learned to customers and internal Google teams, translating one-off customer solutions into reusable, scalable assets. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google'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. The US base salary range for this full-time position is $183,000-$265,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities - Act as a trusted advisor to customers by understanding their business process and objectives, designing and building end-to-end GenAI-driven solutions spanning AI, Data, and Infrastructure, while partnering with peers to incorporate the full cloud stack into overall architecture. - Develop production-grade prototypes that deliver measurable outcomes, including writing custom code, integrating disparate data sources, designing data ontologies, deploying solutions on customer infrastructure. - Represent the customer, gathering real-time feedback and insights, formalizing and abstracting field-tested solutions into reusable modules or new product features to drive product innovation, and establishing technical and business cases to support recommendations. - Drive cross-functional influence over Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for customer requirements. - Lead regional field enablement in collaboration with leadership and engage with product and partner organizations on external enablements, with travel as needed.

About Us We are a fast-growing offshoring agency that provides high-quality remote talent to global clients across industries. As we scale, we are committed to staying ahead by leveraging AI tools and technologies to streamline internal operations, improve client delivery, and unlock new capabilities across departments. We are looking for an AI Specialist who can assess, implement, and optimize AI-driven workflows—from automation and process enhancement to training and support across the organization. Role Overview The AI Specialist will lead initiatives to integrate AI tools into various parts of our business, including operations, recruitment, training, marketing, and client services. You will identify areas where AI can increase efficiency, test tools, train team members, and help develop internal best practices. This is a hands-on, strategic role that combines technical understanding, research, implementation, and cross-functional collaboration. Key Responsibilities - Identify and evaluate AI tools and platforms (e.g., ChatGPT, Zapier, Make.com, Notion AI, Midjourney, Copy.ai, etc.) to improve business processes - Develop and document AI-enhanced workflows for recruitment, lead generation, onboarding, task management, content creation, and reporting - Build custom automations or prompt-based solutions to reduce manual tasks - Collaborate with leadership and department heads to implement AI across teams - Train staff on prompt engineering, AI best practices, and tool usage - Research new AI trends and recommend tools that align with business goals - Analyze impact and performance of AI tools; continuously improve efficiency and scalability - Support internal projects like chatbot implementation, knowledge base structuring, and candidate/client data enrichment Ideal Candidate Profile ✅ Qualifications - 2+ years of experience in an AI, automation, or tech innovation role - Familiarity with tools like ChatGPT, Zapier, Notion AI, Make.com, Claude, or other GenAI platforms - Solid understanding of AI prompt design, workflows, and integration logic - Experience in using or implementing AI in recruiting, admin processes, or marketing is a strong plus - Strong communication skills for internal training and documentation - Comfortable working with both technical and non-technical teams - Resourceful, self-motivated, and eager to experiment and iterate Nice to Have - Experience in offshoring, BPO, or staffing industries - Experience using AI for resume screening, candidate sourcing, or client support - Familiarity with project management and CRM platforms (HubSpot, Airtable, etc.) - Ability to design dashboards or visual reporting using AI-generated data

Title: AI Adoption Specialist Clearance: Active TS Required, Q Clearance preferred Education: Bachelor’s degree preferred Years Experience: all levels available Location: fully remote Compensation: DOE ($65-$145K/yr.) Overview: An AI adoption specialist is responsible for guiding organizations through the process of integrating AI technologies into their operations. Responsibilities: Assessing readiness: Evaluating the organization's data infrastructure, technology environment, and strategic goals to determine the feasibility of AI adoption. Developing strategies: Creating tailored AI implementation strategies that align with business objectives and technology initiatives. Launching pilots: Conducting small-scale pilots to validate AI concepts, manage risks, and build internal confidence. Full deployment: Overseeing the full deployment of AI solutions, ensuring they are integrated with operations and infrastructure. Training and resources: Providing comprehensive training and resources to equip internal teams with the knowledge and skills to work effectively alongside AI systems. Monitoring and optimization: Tracking system performance, gathering feedback, and refining AI models and processes to maximize performance over time. AI adoption specialists play a crucial role in ensuring that AI technologies are effectively integrated into business operations, leading to improved efficiency, decision-making, and innovation. Note This job description in no way states or implies that these are the only duties to be performed by the employee(s) of this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. Who we are...  August Schell offers 30 years of experience in providing our customers innovative solutions and engineering services to their most challenging needs. We thrive on navigating complex IT difficulties and are driven to find the best solutions for our customers. Our team delivers expert knowledge in cyber security, big data, endpoint security and cloud solutions. Our ability to serve our customers with continued excellence is a direct reflection of our dedicated and exceptional people. At August Schell, we are not only a team, we are a family. Equal Employment Opportunity August Schell Enterprises Inc. is an Equal Employment Opportunity Employer. We are committed to providing a workplace that is free from discrimination and harassment based on race, color, religion, sex (including pregnancy, sexual orientation or gender identity), national origin, age, marital status, disability, protected veteran status or any other characteristic protected by applicable law. Accommodations If you are an individual with a disability and would like to request a reasonable accommodation during the application or hiring process, please contact Human Resources at hr@augustschell.com