Solutions EngineerAbout Huge:
Huge is a design and innovation company. We create products and experiences that grow the worlds 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. Part of the Interpublic Group of companies, Huges nearly 1,000 thinkers, tinkerers, makers and creators, have been problem-solving across North America, Europe, and Latin America for over 25 years. Interested? Youll 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 youre 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.
About Technology:
At Huge, its 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 through a deep collaboration with strategy and creative. Technologists at Huge don’t just write code; they create impactful solutions that resolve challenging client business needs and elevate the overall experience.
Job Description:
Huge is looking for a Solutions Engineer to join the team. The ideal candidate will have a deep understanding of enterprise systems across the whole stack, with a deep specialization in Google Cloud Platform (GCP) and its Vertex AI suite, and a proven ability to design and implement solutions that drive business value. As a Solutions Engineer, you will work closely with stakeholders to quickly understand their needs and articulate technical recommendations, architecting solutions focused on MLOps, CI/CD, and pipeline automation for Data Science teams, and ensure successful delivery and integration from proof of concept all the way through to final delivery.
What youll 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.
- Design and implement robust MLOps CI/CD pipelines using tools like Terraform and Cloud Build integrated with Vertex AI Pipelines and Model Registry to ensure rapid and safe deployment of models.
- Collaborate directly with Data Scientists and ML Engineers to containerize and optimize their models for deployment on GCP Vertex, ensuring high-performance serving and monitoring.
- Creates functional proof of concepts (POCs) and works hands-on with AI frameworks and tools to help explore how a potential solution could be realized.
- Leads implementation of applications utilizing Modern AI technologies such as Generative AI and natural language search for enterprise use-cases.
- Quickly learns new technologies, stays updated with the latest advancements and industry trends, and imparts that information to the team and clients.
- Communicates with other disciplines, teammates, and stakeholders to resolve issues, clearly presents architectural designs, and owns architectural conversations with counterparts within client, partner, and vendor organizations.
- Mentors’ junior engineers, provides thought leadership and expert guidance on technologies, educates clients on best practices and emerging trends, and conducts training sessions, workshops, and presentations to enhance understanding and adoption of technology.
- Ensures that code is tested properly by self and others and troubleshoots and resolves technical issues to ensure the reliability and scalability of systems.
- Leads work sessions to come up with creative solutions and proactively refactors/iterates over the lifecycle of a project to achieve simplicity.
- Works towards providing/discovering technical solutions to address identified risks and continuously seeks opportunities to enhance solution performance and client satisfaction.
- Understands and drives the adoption of security as code across the code base on all projects where they are driving the solution architecture.
What wed like to see:
- Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field.
- 6+ years of experience in a senior engineer role or similar position, with a focus on machine learning, artificial intelligence and or data technologies.
- Strong programming skills in languages such as Python, Java, or Typescript, with proficiency in data and ML/ AI frameworks, and libraries (pandas, numpy, Lang Chain, and data analytics tools).
- Hands-on experience with Google Cloud’s infrastructure as code tools for provisioning, managing, and scaling ML solutions using Vertex AI services, with focus on Vertex Pipelines (GCP PDE and PMLE certifications are a plus).
- Experience with agentic development tools such as Gemini Code Assist, Claude Code, v0, Codex, and Cursor.
- Understands the architectural picture at large, ensures compliance and efficiency within that framework, and breaks down the solution to show how the system works and meets requirements.
- Understands DevOps processes, as well as DevOps tools and practices, while evaluating/ recommending new code and DevOps Security tools.
- Clear understanding of AI techniques such as agents, agent tools, MCP, A2A, agentic workflows, RAG, semantic routing and caching.
- Comfortable working with cloud based AI related services and 3rd party models (e.g., Vertex AI, OpenAI, Vector databases, Hugging Face, Stable Diffusion).
- Strong understanding of enterprise systems and their integration with AI solutions.
- Excellent communication and presentation skills, with a proven ability to simplify complex technical concepts for non-technical stakeholders and build strong client rapport.
- Strong problem-solving skills and the ability to think strategically and creatively.
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