About the Role
Our client is seeking an experienced AI Solutions Architect to join their cutting-edge team, focusing on designing and implementing AI and Machine Learning solutions on cloud platforms. This is a fully remote role, offering the flexibility to work from your preferred location. You will be responsible for understanding client business needs and translating them into scalable, robust, and cost-effective AI/ML architectures. This position requires a blend of deep technical expertise in AI/ML, strong cloud infrastructure knowledge (AWS, Azure, GCP), and excellent communication skills to engage with both technical and business stakeholders. You will architect end-to-end AI/ML pipelines, from data ingestion and processing to model training, deployment, and monitoring. As a remote-first organization, we value proactive communication, ownership, and the ability to collaborate effectively in a distributed team environment. This role is critical in helping our clients leverage the power of AI to drive innovation and solve complex business challenges. You will be at the forefront of cloud AI adoption, shaping how organizations utilize intelligent technologies.
Key Responsibilities
- Design and architect end-to-end AI/ML solutions on major cloud platforms (AWS, Azure, GCP).
- Collaborate with clients and internal teams to define technical requirements and translate business problems into AI/ML solutions.
- Develop reference architectures and implementation blueprints for various AI/ML use cases.
- Provide technical leadership and guidance on AI/ML best practices, including model development, deployment (MLOps), and lifecycle management.
- Evaluate and recommend appropriate AI/ML services, tools, and technologies for specific client needs.
- Ensure solutions are scalable, secure, reliable, and cost-effective.
- Assist in the proof-of-concept and prototyping phases of AI/ML projects.
- Educate clients and internal teams on the capabilities and potential of AI/ML technologies.
- Stay current with the latest trends and advancements in cloud AI/ML services and related technologies.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 5+ years of experience in designing and implementing AI/ML solutions.
- Proven experience architecting solutions on at least one major cloud platform (AWS, Azure, GCP).
- Deep understanding of various machine learning algorithms and their applications (e.g., supervised, unsupervised, deep learning).
- Hands-on experience with AI/ML services offered by cloud providers (e.g., SageMaker, Azure ML, Vertex AI).
- Familiarity with MLOps principles and tools.
- Strong understanding of data engineering concepts, data pipelines, and big data technologies.
- Excellent problem-solving, analytical, and communication skills.
- Ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
- Experience in a client-facing or consulting role is highly desirable.
Benefits
- This fully remote role offers a highly competitive salary, complemented by performance bonuses and potential for equity.
- We provide a comprehensive benefits package including health, dental, and vision insurance, along with a robust retirement savings plan.
- Generous paid time off and flexible working arrangements are standard.
- Opportunities for continuous professional development, certifications, and attending industry conferences are fully supported.
- You’ll be part of an innovative, globally distributed team that is shaping the future of AI adoption.
- This role offers significant career growth potential within a leading technology consulting firm.
- Work from anywhere and contribute to impactful AI projects that drive business transformation.
- Join us and help organizations harness the full power of cloud AI and machine learning.