Solutions Architect, Data & AI - US-Based

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Requirements:

• 12+ years of experience in AI/ML, data engineering, or cloud architecture, with at least 3+ years in AI/ML-focused solution architecture.
• Strong background in AI/ML, including predictive modeling, NLP, deep learning, and Generative AI (e.g., large language models, fine-tuning, retrieval-augmented generation).
• Expertise in designing AI/ML solutions in cloud environments (AWS, GCP, Azure).
• Proficiency in AI/ML development frameworks and tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.).
• Experience with big data technologies (Spark, Kafka, Snowflake, Databricks, etc.).
• Strong understanding of MLOps best practices and model deployment strategies.
• Track record of leading technical pre-sales efforts and architecting client solutions.
• Ability to communicate complex AI/ML concepts to both technical and non-technical stakeholders. Passion for AI innovation and ability to drive thought leadership in the field.
• Outstanding written and verbal communication skills.
• Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts.

Responsibilities:

• Design and implement AI and data-driven solutions that drive business impact.
• Collaborate with clients to assess requirements, define technical strategies, and develop solution roadmaps.
• Serve as a subject matter expert in AI/ML, data engineering, and analytics, guiding internal teams and client stakeholders.
• Leverage AI techniques, including Generative AI, NLP, and deep learning, to drive innovation in client solutions.
• Design solutions that leverage cloud platforms (AWS, GCP, Azure) and modern data stack technologies.
• Support sales teams by providing technical expertise, developing proposals, and presenting solutions to prospective clients.
• Work cross-functionally with Toptal’s Sales, Marketing, and Talent Operations teams to align AI and data strategies with market demand.
• Stay up-to-date with the latest AI/ML advancements and emerging technologies to enhance solution offerings.