Job Description
Google Cloud Solutions Architect- Data & AI
Join to apply for the Google Cloud Solutions Architect- Data & AI role at Slalom
Google Cloud Solutions Architect- Data & AI
5 days ago Be among the first 25 applicants
Join to apply for the Google Cloud Solutions Architect- Data & AI role at Slalom
Who Youll Work With
As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.
Who Youll Work With
As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.
Join the Slalom Cloud Team a team of trailblazers ensuring we achieve our strategic goals through innovation and investment in the future. Youll collaborate with local market teams, niche experts, and global partners to drive cloud solution sales and empower clients on their cloud transformation journey. As a key member of Slaloms Google Cloud Center of Excellence, youll leverage our award-winning partnerships and multidisciplinary teams to deliver business value and technical excellence for high-impact data and AI solutions.
What Youll Do - Serve as a subject matter expert and trusted advisor for Google Cloud data and AI portfolio and solutions, including data platforms, AI/ML services, and Gen AI toolkits during the sales cycle.
- Partner with account executives, solution architects, and client stakeholders to understand business challenges and propose tailored cloud solutions that shape and scope data modernization, ML engineering, and GenAI solution architectures.
- Prototype and present early-stage solutions using tools such as Googles data orchestration and integration services (e.g., BigQuery, Dataplex, Dataflow, Spanner, BigTable, Pub/Sub, Composer), ML and Gen AI capabilities (e.g., Vertex AI Pipelines, AutoML, Gemini APIs), AI development frameworks (e.g., LangChain, embedding-powered retrieval, vector stores), and support for RAG and backend orchestration of agentic systems.
- Support customers in evaluating cloud-native MLOps, vector search, data security, and integration patterns for AI applications.
- Lead and facilitate technical sales presentations, discovery workshops, and product demonstrations for client prospects.
- Guide clients through the evaluation of Google Cloud services, including architecture, integration, security, and migration considerations.
- Develop and deliver compelling solution proposals, statements of work, and technical documentation that address client needs and requirements.
- Collaborate with engineers and consultants to ensure seamless handoff and successful project delivery post-sale.
- Stay current with Google Cloud innovations, market trends, and competitive landscape to inform client recommendations.
- Work flexibly, including virtual, onsite, and possible regional travel up to 50% as needed.
What Youll Bring - Demonstrated expertise in selling and supporting GCP solutions, with a deep understanding of cloud-native data platforms, ML pipelines, and Gen AI applications using Google Cloud.
- Experience across the full AI/ML lifecycle, including model development, orchestration, feature engineering, and production deployment.
- Hands-on knowledge of GenAI patterns, including embedding models, vector databases, prompt engineering, and RAG (retrieval-augmented generation)
- Familiarity with retrieval-augmented generation patterns, vector databases, embedding pipelines, and tools like LangChain and Gemini APIs.
- Experience deploying or supporting ML models in production using tools like Vertex AI Pipelines, Feature Store, or model monitoring.
- Familiarity with data ingestion, transformation, storage, and orchestration in Google Cloud (e.g., GCP BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer).
- Proficiency in Python or other relevant languages; experience with ML libraries and Gen AI SDKs is a plus.
- Proven experience in technical pre-sales, solution engineering, or consulting roles within a technology or cloud services environment.
- Ability to bridge business needs with scalable, secure, and cost-effective data and AI solutions.
- Ability to translate complex technical concepts into clear business value propositions for both technical and non-technical audiences.
- Strong communication, presentation, and interpersonal skills; comfortable engaging with C-level executives and technical stakeholders alike.
- Experience designing and/or supporting production enterprise applications on Google Cloud.
- Familiarity with application lifecycle management, DevOps automation, and modern system integration patterns is a plus.
- Relevant certifications (e.g., Professional Cloud Data Engineer, Professional Database Engineer, Professional Machine Learning Engineer) preferred.
About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
Compensation And Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that includemeaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range for Senior Principal is $140,000 to $258,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individuals skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. We will accept applications until July 3rd, 2025. Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information Technology Industries
Business Consulting and Services
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