Now hiring
Solutions Architect, Data & AI
Now hiring

Solutions Architect, Data & AI

About Toptal

Toptal is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand. With $200+ million in annual revenue and team members based around the globe, Toptal is the world’s largest fully remote workforce.

We take the best elements of virtual teams and combine them with a support structure that encourages innovation, social interaction, and fun. We see no borders, move at a fast pace, and are never afraid to break the mold.

Job Summary:

As a Solutions Architect for Toptal’s Data & AI Practice, you will play a critical role in designing and implementing innovative AI and data-driven solutions for our clients. Reporting to the Director of Data & AI, you will work closely with clients, sales, and technical teams to craft scalable, high-impact architectures that drive business value.

This leader will be a proven expert in AI, machine learning, and data solutions, with a deep understanding of cross-industry target buyers, their priorities, and the trends impacting them. The ideal candidate will have hands-on experience in AI/ML solution architecture, including areas such as predictive modeling, NLP, computer vision, and Generative AI (e.g., large language models, fine-tuning, and retrieval-augmented generation). Their extensive knowledge will inform critical business decisions, such as which services and offerings we build, determining pricing and packaging strategies, and developing a compelling value position that ensures Toptal’s competitiveness in the evolving market.

This is a remote position. Resumes and communication must be submitted in English.

Responsibilities:

The following information is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all duties, responsibilities, or required skills.

You will be responsible for designing and implementing AI and data-driven solutions that drive business impact. This includes:

  • Solution Architecture: Design scalable and efficient AI/ML and data-driven solutions that align with client needs and business goals.
  • Client Engagement: Collaborate with clients to assess requirements, define technical strategies, and develop solution roadmaps.
  • Technical Leadership: Serve as a subject matter expert in AI/ML, data engineering, and analytics, guiding internal teams and client stakeholders.
  • GenAI & Advanced AI Integration: Leverage AI techniques, including Generative AI, NLP, and deep learning, to drive innovation in client solutions.
  • Cloud & Infrastructure: Design solutions that leverage cloud platforms (AWS, GCP, Azure) and modern data stack technologies.
  • Pre-sales & Business Development: Support sales teams by providing technical expertise, developing proposals, and presenting solutions to prospective clients.
  • Collaboration: Work cross-functionally with Toptal’s Sales, Marketing, and Talent Operations teams to align AI and data strategies with market demand.
  • Continuous Learning: Stay up-to-date with the latest AI/ML advancements and emerging technologies to enhance solution offerings.

In the first week, expect to:

  • Onboard and integrate into Toptal; meet your colleagues.
  • Learn about Toptal’s history, culture, and vision, with a focus on the state of our industry, the Future of Work, and the core messages important to Toptal.
  • Shadow critical teams throughout the organization to learn Toptal’s core operations and capabilities.

In the first month, expect to:

  • Begin developing relationships with key leaders and stakeholders across the organization.
  • Dive deeper into the operations of key teams (e.g., Sales, Talent Operations) across the company.
  • Conduct a comprehensive review of client demand in AI & data, the talent that exists in the network, and any work we may already be doing or have done.
  • Start contributing to technical pre-sales discussions and client solutioning.

In the first three months, expect to:

  • Be a well-integrated member of the organization with positive relationships in Sales (Enterprise and SMB), Marketing, and Talent Operations.
  • Lead technical solutioning for AI and data opportunities with clients, while exercising discretion and independent judgment.
  • Build foundational assets, such as reference architectures and best practices, to accelerate AI/ML adoption at Toptal.

In the first six months, expect to:

  • Be the go-to expert for AI and data solutions within Toptal.
  • Have established initial market traction and contributed to key AI & data initiatives.
  • See a commercial impact from your involvement in early client engagements.

In the first year, expect to:

  • Make a significant impact on the growth and success of Toptal’s Data & AI Practice
  • Help scale Toptal’s Data and AI revenue, expanding our market presence and technical capabilities.

Qualifications and Job Requirements:

  • Bachelor’s degree is required.
  • 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.
  • You must be a world-class individual contributor to thrive at Toptal. You will not be here just to tell other people what to do.
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Who You Will Work With

Rahul Gupta

Rahul Gupta

CEO, Technology Services

As CEO, Technology Services, Rahul is responsible for leading the go-to-market strategy, solutions, and delivery for Toptal’s Technology Services. Rahul recently served as Conduent’s CTO and Global Head of Software Engineering and Product Development in the company’s Enterprise Technology Services organization, leading the development and delivery of client-facing technology and platform strategies across the Transportation, Government, and Commercial portfolios. Prior to Conduent, Rahul held leadership positions at Capgemini, HCL Technologies, and Infosys. He holds a Bachelor’s in Engineering from DCRUST and an MBA from MDI Gurgaon in India.

Stacy Campbell

Stacy Campbell

Head of Enterprise Industries: HLS, CPS, International Markets

As Toptal’s Head of Enterprise Industries, Stacy is responsible for ensuring exceptional client outcomes for the Consumer Products & Services and Healthcare & Life Sciences industries, as well as for the International and Mid-Market teams. Before joining Toptal, Stacy led global teams of over 100 professionals, supporting Fortune 500 clients across a range of industries. Throughout her career, she has developed global operating models and crafted strategies that drive efficiency, profitability, and client retention. Stacy holds a Liberal Arts & Sciences Degree from the University of Kansas.

Neil Pickard

Neil Pickard

Head of Enterprise Industries: FPSO, IPS, CMET, Sales Development

As Head of Enterprise Industries, Neil leads the strategy and execution of business development activities, fostering value-driven partnerships with some of the world’s most influential organizations. With a focus on trust, authenticity, and meaningful relationships, he drives the expansion of Toptal’s innovative solutions across the global Enterprise community. Over the past 15 years, Neil has advised on Talent Strategy and Professional Services, helping companies solve critical business challenges with tailored solutions. Since joining Toptal in 2017, he has been an advocate of On-Demand and its transformative impact worldwide. Neil holds a B.S. in Business Management from The Pennsylvania State University.

View the Whole Team

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