AI Solutions Architect

Overview

We are seeking an accomplished Senior Solutions Architect. In this capacity, you will deeply engage with organizational clientele to devise and deliver comprehensive AI and Machine Learning solutions. This encompasses utilizing cutting-edge methodologies such as expansive language models, visual recognition systems, recommendation engines, and creative AI.

What You'll Be Doing

• Work in close concert with outreach teams to evaluate client requirements and formulate bespoke technical remedies.
• Use your relationship-building skills and technical expertise to lead discovery meetings, deeply understanding clients' AI demands.
• Formulate and articulate solution frameworks that align with client objectives and pre-existing infrastructure.
• Interact with clients to provide comprehensive AI deployment blueprints and address intricate technical challenges.
• Suggest novel offerings and collaborate with the product development group to enrich our portfolio.
• Sustain a robust communication loop with engineering to guarantee technical integrity and scalability.
• Conduct practical demonstrations, generate technical documentation, and lead client-facing instructional sessions.
• Assess nascent technologies for potential incorporation and advocate for optimal approaches.
• Champion ethical AI advancement, ensuring solutions uphold our foundational principles.

Qualifications

• A university degree (Bachelor's or Master's) in Computer Science, Engineering, or relevant disciplines.
• Over seven years of professional engagement in AI/ML solutions, software development, or related fields.
• Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch) and AI development.
• Expertise in at least one contemporary programming language, such as Python, Go, C++, Bash, etc.
• Extensive experience with major cloud platforms (e.g., AWS, Azure, or GCP; preference for AWS).
• Familiarity with containerization and orchestration tools like Docker and Kubernetes, and continuous integration/delivery pipelines.
• Practical understanding of business intelligence tools for data visualization and advanced data warehousing solutions for analytics.
• Exceptional communication abilities, capable of collaborating effectively with both technical and non-technical stakeholders.
• Knowledge of database systems (SQL, NoSQL) and distributed computing technologies (Kafka, Redis, Elastic Search, Airflow, etc.).
• Demonstrated experience in designing data architectures and integrating AI solutions at scale.
• Working knowledge of vector databases and the customization of large language models.
• Proven experience in enterprise-level AI deployments, including DataOps and MLOps practices.

Why You'll Thrive Here

Our environment fosters a culture of ingenuity, teamwork, and responsible AI development. We encourage an entrepreneurial mindset and offer opportunities to contribute to projects that are shaping the future of AI, always prioritizing human welfare and positive societal impact.

Join us to accelerate AI breakthroughs in consumer technology, driving innovation that transforms the world conscientiously. Your entrepreneurial drive will be fully supported. We value team members who are enthusiastic about collaborating to construct something significant. Our individuals take ownership of their work and seamlessly engage with resources globally to achieve desired outcomes and success.

What Else You Should Know

Our organization was established with the intent to approach work differently, embracing what promises to be the most profound era of technological progress humankind has ever encountered. In doing so, we challenged ourselves to acknowledge both the advantages and potential implications of AI. This is why we are dedicated to responsible, conscientious AI innovation.

• Human-centric: Emphasizes human welfare above all else.
• Inclusive: Embraces diversity in backgrounds, perspectives, and experiences.
• Collaborative: Recognizes that collective effort leads to superior results.
• Responsible: Committed to engaging in programs and initiatives with a beneficial social impact.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Software Development

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