Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Minimum Degree Required
Bachelor's Degree
Minimum Year(s) of Experience
7 year(s)
D emonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs:
Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients
Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach
Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases
Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds
Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases
Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis;
Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;
Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams;
Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps
Structuring, write, communicate and facilitate client presentations; and,
Managing associates and senior associates through coaching, providing feedback, and guiding work performance.
Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:
Managing GenAI application development teams including back-end and front-end integrations
Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);
Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization
Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev
Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms
Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.
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