As an AI Solution Architect within our AI Platforms group, you will play an instrumental role in shaping the future of technology.
In close collaboration with our clients, you’ll delve into their unique challenges, designing cutting-edge AI platforms and developing strategic tech solutions that elevate their use of artificial intelligence and machine learning through Generative AI.
Your role will involve crafting impactful solutions and garnering support for your innovative ideas.
Working alongside fellow BCG case team members, you will transform client potential into tangible outcomes, partnering with a diverse array of international and leading-edge clients to enhance their AI and machine learning capabilities with Generative AI.
Our AI Solution Architects possess a hybrid skill set, combining depth of architecture expertise with hands-on execution experience of building solutions.
The AI Solution Architect is a mix of the traditional Solution Architect and AI Engineer roles.
In this critical capacity, you will address complex business issues using state-of-the-art Generative AI and advanced machine learning techniques.
You will refine your specialized skills to design, develop, and implement strategic AI architecture solutions, playing a key role in seamlessly integrating these technologies into existing enterprise frameworks.
You will have opportunities to collaborate with world-class clients on pioneering AI projects in an environment that fosters creativity and intellectual growth.
You will receive competitive compensation, with a comprehensive benefits package with extensive professional development and training opportunities in a supportive and collaborative team setting.
Requirements & Skills:
A bachelor’s or master’s degree in Computer Science, Engineering, or a related field. Preferably with a focus on artificial intelligence, machine learning, or data science
Demonstrated experience in designing, implementing, and deploying AI systems Proficiency in programming languages such as Python, JavaScipt, TypeScript, or R, and familiarity with AI development tools and libraries like TensorFlow, PyTorch, LangChain or LlamaIndex
Knowledge of vector databases and data platforms
Demonstrated ability to lead projects, manage teams, and drive projects to completion under tight deadlines (Management of teams is only required for Lead Architect level and not for Architect or Senior Architect levels)
Own problems end-to-end, and are willing to pick up whatever knowledge you’re missing to get the job done to ensure both your team and our clients succeed.
Proficiency in explaining complex AI concepts to non-experts and effectively collaborating with cross-functional teams.
Skills in designing data models and architectures that support large-scale AI applications
Understanding of and commitment to ethical AI development, including issues of bias, fairness, and transparency.
