FAQs
What is the primary responsibility of a Senior GenAI Engineer?
The primary responsibility of a Senior GenAI Engineer is to develop innovative Generative AI solutions by collaborating with data science and IT teams, ensuring sound architecture, effective MLOps/LLMOps processes, and comprehensive controls.
What types of teams will a Senior GenAI Engineer collaborate with?
A Senior GenAI Engineer will collaborate with data scientists, data engineers, data architects, platform engineers, and business leaders to build Generative AI solutions.
What qualifications are required for this position?
A graduate degree in Computer Science, Engineering, or a related field is required, along with experience in implementing and productionizing ML projects, leading GenAI/ML solution pods, and knowledge of cloud platforms, particularly Azure.
What skills are crucial for a Senior GenAI Engineer?
Crucial skills for this role include expert knowledge in generative AI models and algorithms, strong communication and leadership abilities, experience with microservice-based architecture, and familiarity with large-scale data processing pipelines.
How does this role contribute to business outcomes?
This role contributes to business outcomes by developing and implementing generative AI solutions that solve complex business problems, delivering business value through collaboration with various teams.
What does the company offer in terms of career growth?
The company offers a competitive salary and benefits, a growth trajectory that encourages following passions and learning new skills, and a focus on building a career path within the organization.
What is the company’s commitment to diversity and inclusion?
The company is committed to fostering an inclusive workplace where everyone thrives, focusing on delivering the promises of Diversity, Equity, and Inclusion within its culture.
What is expected in terms of driving ML Ops practices?
The Senior GenAI Engineer is expected to drive the adoption of ML Ops practices within the GenAI engineering team, ensuring the efficient and reliable deployment of Generative AI solutions.
What type of work environment does the company promote?
The company promotes a values-first culture, continuous innovation, and a strong emphasis on work-life balance and flexible work policies.
What motivates a successful candidate in this role?
A successful candidate is motivated by a strong focus on customer needs, curiosity in discovering innovative solutions, teamwork, ownership of outcomes, integrity in work, and a commitment to fostering diversity and inclusion in the workplace.