Solutions Engineer - (United States)

Job description

The Solutions Engineer (AI Solutions) will play a key role in supporting organic growth within the AI Data Solutions group. AI Data Solutions is a new, rapidly growing division offering high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching, and processing training data for Machine Learning in different AI domains. The role will provide technical pre-sales support and will design efficient processes and project plans. The role’s key responsibilities will be solutions engineering, process design, creation of WBS, labor and material cost estimates, and presentation of solutions to clients or prospective clients. 

A successful Solutions Engineer will have a technical background, excellent problem-solving skills, will be results-driven, and will have the ability to build strong relationships with clients and internal teams in multiple geographies. 


  • Gather and analyze project requirements.
  • Work with production, engineering, and functional teams to create innovative solutions.
  • Write project proposals and support the sales team throughout the sales life-cycle.
  • Design, customize, and document data collection and annotation processes.
  • Lead and oversee the on-boarding of new customers.
  • Set up and train the production team.
  • Design, classify, and improve services provided.
  • Design execution processes and project plans.
  • Create and present the WBS for new opportunities and client requests.
  • Ensure that the designed solution is properly implemented according to specifications.
  • Design solutions that involve both technical and labor-intensive aspects.
  • Oversee the implementation of solutions by geographically dispersed production and technology teams across different time zones and cultures.
  • Define, track, and manage KPIs and provide internal and client-facing status reports; provide executive updates including account progress, health, risk, and opportunities.
  • Assist in building overall plans/budgets and subsequent adherence; own the overall financial health of assigned client engagements; drive efficiencies across process, people, and technology.
  • Manage stakeholder communication around solution status and planning.
  • Assist in training and adoption of technologies for internal and client teams.
  • Assist in new business development (meeting presentations and RFI responses).
  • Innovate for continuous improvement in internal and client workflows/processes.
  • Automate workflows, when possible, to drive efficiencies.

Job requirements

As a Solutions Engineer you are a(n):

  • Creative thinker – You are curious and unafraid to ask questions
  • Hard worker – You are industrious and diligent in everything you do
  • Innovator – You are willing to initiate changes and introduce new ideas

You have:

  • Proven experience in technical pre-sales support
  • Excellent planning, organizational, and communication skills
  • Experience in working with big data and/or crowdsourcing solutions
  • Scripting or programming skills in Python, Java, or C++
  • Experience in implementing and running machine learning solutions
  • Ability to work under tight deadlines and with geographically dispersed teams
  • Excellent interpersonal and negotiation skills
  • Advanced knowledge of project management and reporting tools

Your experience includes:

  • Minimum Bachelor’s degree in Machine Learning, Mathematics, Natural Language Processing, Computational Linguistics, Computer Science, or a related field
  • Minimum 3 years of experience in Solutions Engineering, DevOps, Project/Program Management, Language Engineering, Localization Engineering, Crowdsourcing, or a similar field
  • Prior experience in managing complex projects
  • Leadership experience in working with diverse geographical teams
  • Prior experience in client consulting, solutions design, and sales methodologies
  • Proven ability to manage multiple complex projects and converting customer requirements to actionable deliverables
  • Strong analytical and problem-solving skills, with proven ability to work under pressure and delivery against deadlines

Desired skills include:

  • Prior experience in the AI Industry
  • Ability to multitask and organize administrative work
  • Proficiency in a foreign language
  • PMP, SixSigma, Agile certifications