Solutions AI Architect (Pre-Sales)



Software Engineering, IT, Sales & Business Development, Data Science
New York, NY, USA
Posted on Wednesday, June 26, 2024

LILT is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enables global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With LILT, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale.

While our core AI technology might share similarities with ChatGPT and Google Translate, it's what we do with it that makes LILT truly revolutionary. Our patented Contextual AI Engine goes beyond basic translations, understanding the nuance of our customer's content and target audience to deliver hyper-accurate, business-focused results. Our connector-first approach seamlessly integrates with our customer's existing workflows, and our human-adapted feedback loop ensures continuous improvement, making LILT a constantly evolving AI partner for your global ambitions.

Get the best of both worlds at LILT! Dive into dynamic in-office energy 2 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page!

This position can be based out of our Indianapolis, IN office and will be expected to work in the office in a hybrid capacity. Additional locations include the Washington D.C., New York City, and Boston metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations.

Authorization to work in the US is a precondition of employment.

The Solutions Team at LILT

LILT’s Solutions team focuses on our industry AI leading technology and its application to multilingual content requirements for large enterprises as well as government agencies. Our team engages with customers from the pre-sales/prospect stages through post-sale/customer onboarding stages and is made up of experts in various functional and technical areas of LILT’s overall offering. While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering and Services teams. Additionally, we operate as critical members of account-based teams that ensure LILT’s technology is utilized to deliver maximum value to our customers. While we’re at it, we have fun and enjoy the ride together.

What you’ll do

We're looking for an experienced AI Architect who loves solving hard problems, managing complex projects, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage multiple complex projects at once.

You will work hand-in-hand with Sales, Product, Engineering, Services, and Marketing teams to bring our platform to clients and prospects. You will be responsible for providing the technical expertise to make LILT customers successful. You will have a broad range of skills and experience ranging from global content management lifecycle, a working knowledge of NLP/MT, TM, glossary, and content pipelines and integrations. You will have the insight to make the connection between a customer’s specific business problems and LILT's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation.

Key Responsibilities

  • Serve as the technical co-pilot to LILT Account Executives and Account Managers, managing the customer’s technical experience from scoping (pre-sales) to deployment (post-sales / success)

  • Build and present references architectures, how-tos, and demo applications for customers

  • Be a subject-matter expert in translation and localization process optimization and best practices

  • Understand and align customer’s technology stack to optimize localization processes

  • Work closely with Engineering, Product, and Account Management teams to ensure smooth prospect-to-customer transitions and long-term customer success

  • Play an active role in the development and maintenance of client-integrations

  • Provide an escalated level of support for critical customer operational issues

  • Develop and iterate on internal processes to ensure consistency across our solutions engagements

  • Track existing technology solutions and follow the latest trends and developments in the localization industry

Skills and Experience

  • At least 4+ years of experience in a technical pre/post-sales role at a language services, language technology, or content management company

  • Experience working with a complex services-oriented solution

  • Proven ability to communicate, present, and influence credibly and effectively at all levels of the organization, including executive and C-level.

  • Subject matter expertise in localization solutions, technologies, and processes

  • Technical background in computational linguistics or related field with experience in AI, LLM, NLP, or computed-assisted translation (CAT) solutions

  • A passion for technical and solution-based problem solving

  • Analytical approach to intelligence gathering and project planning

  • Outstanding verbal and written communication skills; ability to interact easily with end users and C-level executives

  • Keen attention to detail and adherence to deadlines

  • Strong desire to learn in a rapidly growing and dynamic pre-IPO growth environment

  • Self-motivated and inspired by a results-driven environment

  • Confidence communicating technical ideas to various audiences, primarily through presentations, white-boarding, and platform demonstrations

  • Comfort with a bit of chaos, startup experience is an advantage

  • Ability to work independently and self sufficiently while being part of a team and pursuing team goals

Our Story

Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – LILT.

At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, believing that this foundation was imperative to the future of enterprise translation.


  • Compensation: At market salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays

  • Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability

  • Paid parental leave is provided after 6 months.

  • Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.