AI Solutions Architect

At eimagine, we know that your best work happens when you live your best life and share your unique talents, so we do everything we can to be intentional in a remote enabled environment to make that possible. Recognized as a Best Places to Work since 2015, we are a team of humbly confident people who are proud of their craft, continuous learners, and have been known to cheer loudly for our teammates. For over 25 years we have been helping clients navigate technology and business change, while staying committed to delivering value & outcomes that enables their success.Due to continued growth, we are seeking an AI Solutions Architect to lead the design and delivery of scalable, enterprise-grade AI solutions that solve complex business challenges for our clients. This role operates at the intersection of technology and strategy—bringing together software engineering, data science, and machine learning to architect solutions that are not only technically sound but aligned to business outcomes. As a senior leader, you will guide clients through ambiguity, shape AI strategies, and ensure solutions are built for scale, sustainability, and measurable impact. You will play a critical role in translating emerging AI capabilities into practical, high-value applications. If you’re passionate about turning emerging technologies into real-world solutions and want to partner with clients to create meaningful business value, this could be your next step. Join us as we #eimaginebetter.Description of DutiesLead the design of end-to-end AI/ML solutions, ensuring scalability, reliability, and alignment with client business objectivesTranslate ambiguous business challenges into clear, actionable AI strategies and solution architecturesDefine and guide implementation of enterprise AI systems, including data pipelines, model development workflows, and production inference architecturesArchitect scalable model-serving and distributed processing solutions that perform reliably in real-world environmentsPartner with client stakeholders to shape roadmaps, prioritize initiatives, and align technology decisions with business valueProvide technical leadership across delivery teams, ensuring best practices in design, development, and deploymentEvaluate and select appropriate tools, platforms, and frameworks to meet client needs across cloud ecosystems such as Microsoft Azure, Amazon Web Services, and Google CloudEstablish standards for performance, scalability, security, and governance across AI solutionsAnalyze system performance, model behavior, and data pipelines to identify optimization opportunities and improve outcomesGuide the responsible and ethical use of AI, including explainability, risk mitigation, and governance practicesMentor engineers and contribute to the growth and maturity of eimagine’s AI capabilities and delivery frameworksStay at the forefront of emerging AI technologies and translate innovation into practical client recommendations5+ years of experience in AI, machine learning, or advanced analytics, with a strong track record in architecting and delivering enterprise solutionsProven experience in a consulting or client-facing role, with the ability to influence stakeholders and drive strategic conversationsDeep experience designing and deploying AI/ML solutions in cloud environments such as Microsoft Azure, Amazon Web Services, or Google CloudStrong understanding of scalable system design, distributed processing, and production-grade AI architecturesExperience with modern ML frameworks such as PyTorch, TensorFlow, or similar toolsExperience integrating and operationalizing large language models (LLMs), including APIs such as OpenAI, Azure OpenAI, or GeminiFamiliarity with generative AI patterns such as retrieval-augmented generation (RAG) and prompt engineering in enterprise contextsStrong foundation in data architecture, data pipelines, and data governance practicesExperience with DevOps and MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes preferred)Proficiency in Python and the ability to guide engineering teams on implementation approachesExceptional problem-solving and critical thinking skills, with the ability to navigate ambiguity and make informed trade-offsRelevant cloud or AI certifications (Azure, AWS, GCP) are a plusBachelor’s degree in information technology, computer science or equivalent job-related experience required.