Solutions Architect AI/ML at HugeInc

Location: This position is remote within Colombia

About Technology

At Huge, it’s not only about depth in technology, but ongoing incubation and experimentation as to how to apply technology. Every technologist at Huge helps bring ideas to reality.

Job description

Huge is looking for a highly skilled and client-focused Solutions Architect to join the team. In this role, you will be responsible for designing and implementing scalable, high-performance solutions that align with our clients' strategic business objectives. You will play a crucial role in engaging directly with clients, understanding their business needs, and building strong, trusted relationships. Collaborating closely with stakeholders, including clients and development teams, you will translate complex business requirements into innovative technical solutions that harness the latest advancements in technologies. 

What we’d like to see:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 3-4+ years of experience in an architect role or similar position, with a focus on machine learning, artificial intelligence and or data technologies.
• In-depth knowledge of ML/ AI technologies such as LLM, NLP, computer vision, etc.
• Experience working in the client service/agency/consultancy industry.
• Strong programming skills in languages such as Python, Java, or C++, with proficiency in data and ML frameworks / libraries (LangChain, Pandas, Numpy, and data analytics tools).
• Clear understanding of AI techniques such as agents, RAG, semantic routing and caching.
• Some experience with Neural Network implementations (CNNs, RNNs, GANs, Transformers, etc.) is a plus.
• Strong understanding of enterprise systems and their integration with AI solutions.
• Extensive experience with one or more cloud platforms like AWS, Azure, or Google Cloud and experience with deploying ML/AI solutions in cloud environments, Gen AI is a plus.
• Comfortable working with cloud based AI related services and 3rd party models (e.g., Vertex AI, Big Query, OpenAI, Vector databases, HuggingFace, Stable Diffusion).
• Relevant certifications (e.g. AI/ML/Data certifications, cloud certifications) are a plus.
• Excellent communication Skills, with the ability to build rapport and trust with non-technical stakeholders.
• Strong problem-solving skills and the ability to think strategically and creatively.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Strong appreciation for design and user experience and its importance to the final delivered solution.

What you’ll be doing:

• Applies common design patterns and best practices, drives coding standards, leads code reviews, and ensures engineering best practices across multiple projects.
• Quickly identifies critical capabilities, gaps, and architectural roadblocks, and communicates them to the team while providing alternate approaches.
• Can use the learnings and insights from POCs to help craft a proposed solution for a production implementation of the solution.
• Drives architectural and systems design for the implementation of applications utilizing Modern AI technologies such as Generative AI for enterprise use-cases.
• Work closely with clients and stakeholders to understand their business needs, challenges, and goals. 
• Design end-to-end architectures and solutions that are scalable, reliable, and efficient, considering factors such as data integration, model training, deployment, and monitoring.
• Select appropriate technologies, frameworks, platforms, and tools based on project requirements and constraints.
• Create detailed architectural blueprints, diagrams, and technical documentation that articulate the proposed solutions.
• Lead and mentor technical teams throughout the development lifecycle, providing guidance on best practices, system design, and implementation strategies.
• Collaborate with data scientists and engineers to prototype, validate, and optimize models and algorithms.
• Ensure that solutions adhere to industry standards, best practices, and regulatory requirements (e.g., data privacy, security).
• Conduct technical reviews and evaluations of components, ensuring alignment with architectural principles and performance goals.
• Drive innovation and continuous improvement initiatives within the solutions domain, staying abreast of emerging technologies and trends.

If the selected candidate holds a degree in Engineering or a related profession, they must present their professional license. To verify your degree requires this license, please visit www.copnia.gov.co and https://www.consejoprofesional.org.co/. 

About Huge

Huge is a design and technology company. We create products and experiences that grow the world’s most ambitious brands. We do this by designing experiences for people, not users, and uncovering new sources of growth by leveraging our creative talent, our proprietary platform LIVE and unlocking the advantages brought to us by emerging technologies. We believe all experiences should be intelligent, shoppable and unique to every brand.

Huge’s nearly 1,000 thinkers, tinkerers, makers and creators, have been problem-solving across North America, Europe, and Latin America for over 25 years. Interested? You’ll find more information at www.hugeinc.com.

Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

Huge is an equal opportunity employer (EOE). We strongly support diversity in the workforce. We are committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation needed to ensure you have access to a fair and equitable process. Any information received relating to accommodation will be addressed confidentially.

Workers shall not be required to pay employers’ or agents’ recruitment fees or other related fees for their employment. If any such fees are found to have been paid by workers, such fees shall be repaid to the worker.

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