As an AI Technical Lead, you will be at the forefront of artificial intelligence development, working on cutting-edge technologies to create and improve general AI systems. The ideal candidate will have a strong background in Python, full-stack development, and Microsoft Azure, along with a deep understanding of AI and ML principles.
Specific Role requirements
- Lead the planning, execution, and delivery of Generative AI projects, ensuring they meet quality standards and are completed on time and within budget.
- Manage a team of AI specialists, full-stack developers, and other technical staff, providing guidance, support, and mentorship.
- Collaborate with cross-functional teams to integrate AI solutions into broader systems and workflows.
- Communicate effectively with stakeholders at all levels, including presenting project updates and strategic insights.
- Identify risks and issues early and implement mitigation strategies to ensure project success.
- Foster a culture of innovation and continuous improvement within the team.
- Experience in designing and building solutions using LLMs (foundation models, APIs, frameworks, prompt engineering, and techniques)
- Experience in designing and implementing modern application architecture (microservices, REST APIs, Kubernetes containers)
- Good understanding of database design, including schema design and versioning data
- Test software to ensure responsiveness and efficiency, troubleshooting, debugging, and upgrading software as needed.
- Implement and manage AI solutions on the Azure platform, ensuring optimal performance, scalability, and security.
- Utilize Azure AI services and tools to enhance the capabilities of our AI applications.
Client Responsibilities:
- Need to be curious and ask the right questions to frame problems and find right analytic solutions.
- Provide product and design level technical best practices
- Develop analytical strategies for business by leveraging the right analytical techniques and technologies
- Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making.
Experience and Qualification:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5-6 years of proven experience in developing and implementing AI applications, with a strong portfolio of successful implementations.
- Strong Fundamental knowledge of Data Science and Machine Learning and hands on exposure to GenAI concepts
- Knowledge of multiple front-end languages and libraries (e.g. .NET, HTML/ CSS, JavaScript, XML) and UI/UX design
- Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
- Hands on experience in SQL
- Extensive programming experience in Python and familiarity with full-stack development practices.
- Proficiency in cloud computing platforms, particularly Microsoft Azure.
- Strong understanding of AI and ML concepts, techniques, and industry trends.
- Excellent leadership and team management skills.
- Excellent business communication, Consulting, Quality process skills
- Outstanding communication and stakeholder management abilities.
Your people responsibilities - For People Leading Roles
- Building a quality culture
- Manage the performance management for the direct reportees, as per the organization policies
- Foster teamwork and lead by example
- Training and mentoring of project resources
- Mentor the team in a specific area of specialization (AI, machine learning etc.)
- Participating in the organization-wide people initiatives
Additional Skills requirements
- Experience in Finance domain
- Prior Client facing skills
- Prior onsite experience is a plus
- Should have engaged in client interactions, participating in business workshops
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.