• Lead client discovery and pre-sales engagements, identifying AI opportunities, structuring business problems, defining AI project scopes, and shaping solution approaches. • Own or significantly contribute to proposals, discovery workshops, business cases, solution concepts, and statements of work. • Translate business objectives into data, AI, and GenAI strategies, ensuring that analytics, automation, and model development are directly linked to measurable business value. • Advise senior stakeholders on technology and architecture choices, balancing feasibility, cost, risk, security, compliance, scalability, and expected business outcomes. • Challenge assumptions and recommend the most appropriate AI approach for the client context, including when AI is not the right solution. • Liaise between business, technical, delivery, and leadership teams to ensure clear communication and alignment across disciplines. • Lead AI project delivery from a consulting perspective, overseeing execution quality, stakeholder alignment, business impact, and value realization. • Co-create the strategy, vision, standards, and roadmap for Spyrosoft’s AI Consulting offering. • Mentor consultants, engineers, and other team members in AI consulting practices, discovery methods, solution framing, and stakeholder communication. • Communicate AI insights and recommendations clearly to executive, business, and technical audiences.

Title: Forward Deployed Engineer III, Generative AI, Google Cloud Remote Eligible Job Description: XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in Playa Vista: This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in Boulder: The application window will be open until at least June 4, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Applicants in Washington State: In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: - Health, dental, vision, life, disability insurance - Retirement Benefits: 401(k) with company match - Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment - Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance - Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks - Baby Bonding Leave: 18 weeks - Holidays: 13 paid days per year Note: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following: In-office locations: San Francisco, CA, USA; Atlanta, GA, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Miami, FL, USA; Mountain View, CA, USA; New York, NY, USA; Portland, OR, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA; Ann Arbor, MI, USA; Austin, TX, USA; Houston, TX, USA; Madison, WI, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA. Remote location(s): United States. Minimum qualifications: - Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. - 5 years of experience with software development using Python or similar coding languages. - Experience architecting AI systems on cloud platforms (e.g., GCP). - Experience taking production-grade AI-driven solutions from conception to launch for customers. - Experience leading technical discovery sessions with customers. - Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions. Preferred qualifications: - Master's or PhD in AI, Computer Science, or a related technical field. - Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation). - Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the job As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be 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 an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. This role is designed for high-agency engineers with a founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud's future product roadmap. It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. The US base salary range for this full-time position is $174,000-$252,000 + 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 - Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment. - Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. - Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. - Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. - Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Title: JA – Japanese Annotators (Fact-Checking) Location: Taiwan Department: Production Job Description: Remote | Freelance | Upcoming Project Are you fluent in Japanese (JA)? We’re currently hiring detail-oriented annotators for an upcoming Fact-Checking and Response Evaluation project. This freelance, remote role is ideal for professionals who enjoy analyzing content carefully, verifying factual accuracy, and applying structured guidelines with precision. What You’ll Do - Evaluate responses for factual accuracy and reliability - Apply fact-checking guidelines consistently - Identify misinformation, unsupported claims, or inaccuracies - Provide structured annotations based on project criteria - Maintain high quality and attention to detail Requirements - Fluent Japanese proficiency (native or non-native candidates are welcome) - Strong English comprehension (guidelines and training are in English) - Previous experience in fact-checking annotation - Excellent analytical and critical thinking skills - High attention to detail - Ability to follow evolving guidelines - Reliable availability and commitment What We Offer - Fully remote freelance work - Flexible working hours - Continuous support and updated guidelines - Opportunity to join a long-term fact-checking initiative Quality is our top priority. Please note that consistent quality performance is required to remain in the project.

Title: Arabic Annotator Location: EG Department: Production Job Description: What this is about: At TrustScale (an e2f company), we offer an array of remote opportunities to work on compelling projects aimed at enhancing AI capabilities. As a significant team member, you will help shape the future of AI-driven solutions. We value your skills and domain expertise, offering competitive compensation and flexible working arrangements. Our team is seeking fluent Arabic speakers with extensive experience in research and fact-checking for an exciting annotation project. You’ll use your skills to evaluate different datasets and their accuracy. We are looking for people who are: - Proficient in the English language - High level of Fluency in the Arabic language - Meticulous attention to detail is essential - Annotation experience is a big plus - Excellent communication and collaboration skills - Ability to prioritize and manage workload efficiently - Understanding of and adherence to project guidelines and policies. - Able to successfully complete a short qualifying test. Responsibilities: - You can commit a minimum of 4 hours per day - Flexible schedule (You can split your hours as you prefer). - Participate in a training meeting. - Adhere to deadlines and guideline standards. What We Offer: - Engage in exciting generative AI development from the convenience of your home. - Enjoy flexible work hours and availability. If you're interested: - Apply to our job advertisement. - We'll review your profile and, if it aligns with our search, we will contact you as soon as possible to share rates and further details. About Us: TrustScale (an e2f company) is dedicated to facilitating natural communication between people and machines across languages and cultures. With expertise in data science, we provide top-tier linguistic datasets for AI and NLP projects.