Senior Solutions Engineer

Job Title: Senior Solutions Engineer

Location: San Jose, CA - (can be remote)

About Centific

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Summary:

The Sr. Solutions Engineer in Centific’s Solution Design team will spearhead the design, architecture, and implementation of innovative Data products and AI solutions aimed at enhancing Centific’s AI product and services portfolio. This role is pivotal in leveraging Data and AI technologies, requiring a deep understanding of Data Science, Statistics, Machine Learning, Generative AI, Large Language Models (LLMs), and Multimodal models.

The Sr. Solutions Engineer will act as the voice-of-the customer internally and work closely with cross-functional teams to design innovative solutions across a diverse set of industry use cases.

Responsibilities:

• Act as the primary customer-facing technical resource during customer / partner meetings and technology evaluations, working at all levels in the organization with Data Scientists, AI/ML practitioners, Architects, Technologists, Product owners, Transformation leaders, & C-level executives.
• Serve as a trusted advisor on AI to help customers with their end-to-end vision; AI strategy, operating model & architectural best practices, problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption.
• Lead the development of product demos, prototypes and proof-of-concepts to demonstrate the feasibility and potential impact of Centific’s AI solutions for clients.
• Oversee the deployment and integration of AI solutions into client environments, ensuring seamless integration with existing systems and processes. This includes owning the hand-off to Centific’s Delivery and Engineering team’s post-sale.
• As an integral member of the team, you will be expected to provide guidance to GTM, Product and Engineering leaders on strategy, product obstacles/gaps and associated resourcing requirements to achieve optimization.
• Partner closely with Sales to a) achieve target quotas and b) to ensure alignment between commercial and technical parameters for a given engagement.
• Build and manage a solution engineering playbook including demo materials and associated assets to support the GTM team.
• Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Centific in relation to them
• Collaborate with Product Management, Engineering and Marketing to continuously improve Centific’s products and marketing.

Preferred Qualifications:

• Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field
• 5 years of related consulting experience leading a solution engineering team
• 5 years of experience in customer-facing technical roles, including solution design in a B2B software company or AI/ML consulting.
• Proficiency in executing a value-centric sales motion using methodologies like MEDDIC or similar.
• Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.
• Proficiency in scripting languages such as Python, JavaScript/Typescript, Bash scripts or programming languages.
• Hands-on experience in building and implementing machine learning or Gen AI models (bonus points!)
• Proven track record of collaborating with business stakeholders to ensure successful delivery of machine learning solutions aligned with business outcomes.
• Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Experience and understanding of at least one public cloud platform (AWS, Azure or GCP)
• Experience with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks.

Benefits offered - Comprehensive healthcare, dental & vision, 401k plan, PTO, etc.