Senior AI Engineer (Generative and Applied AI)

As an AI Engineer, you will be a key player in a dynamic team, driving the development and

deployment of AI solutions across the firm. This role will require you to leverage your

unique blend of software engineering skills and knowledge of AI principles to create robust,

scalable AI systems that align with business objectives.

The role includes:

• Developing and implementing AI solutions, translating business requirements into viable

technical solutions.

• Collaborating closely with stakeholders to ensure alignment between business objectives

and AI capabilities.

• Building and maintaining AI models and infrastructures, while effectively communicating

design principles and strategic choices to stakeholders.

• Conducting research into appropriate technologies and patterns to find the best

technology solution among all possible to solve the business problem.

• Evaluating emerging AI technologies, machine learning algorithms, and frameworks to

strengthen our tech stack and maintain a competitive edge.

• Ensuring compliance with data governance, security standards, and privacy laws in the

creation of AI-centric solutions.

• Contributing to the development of AI architectural standards and best practices for the

organization.

• Sharing your knowledge of AI best practices and implementation.

• Developing AI software in line with technological trends and business strategy, ensuring a forward-looking perspective on how AI can drive business outcomes.

Qualifications:

• Able to build relationships quickly with many different stakeholders. You are articulate and

intelligent, with solid communication skills.

• Proven ability to work autonomously, dealing with conflicting priorities and monitoring

own workload in a timely and effective manner.

• Deep knowledge of Artificial Intelligence, Machine Learning and related technologies, with

a strong foundation in AI principles and applications.

• Proficient with AI platforms and services from major cloud providers like Azure, AWS, and

Google Cloud, including AI-specific tools and frameworks such as LangChain, PromptFlow,

Semantic Kernel or similar.

• Demonstrates programming skills relevant to AI, such as Python and Scala, as well as

familiarity with AI libraries and frameworks like TensorFlow, PyTorch, or Keras.

• Experienced in applying and staying up to date with best practices in Generative AI Prompt

Engineering techniques.

• Has an in-depth understanding of data structures, data modelling, and software

architecture pertinent to AI systems, with the ability to tackle complex system integration

issues.

• Is knowledgeable in ethical AI practices, bias mitigation, and explainable AI, ensuring

solutions are transparent, fair, and equitable.

• Can articulate complex technical concepts to non-technical audiences, facilitating clear

communication between AI experts and business stakeholders