AI/GenAI Architect in Software Quality -

Company Description

Bosch Global Software Technologies Private Limited

For more than 138 years, Robert Bosch GmbH has led groundbreaking innovations across a wide range of industries. As the world becomes increasingly software-driven, Bosch is accelerating its journey to create smarter solutions "Invented for Life."

As an integral part of this transformation, Bosch Software and Digital Solutions (SDS) was established as a global technology powerhouse within BGSW, a captive unit of Bosch. Experts in software, sensors, and services, we partner with organizations ranging from leading startups to established industry giants to deliver new-age digitalization. We help reimagine the present and the future of businesses with Smarter Digital solutions.

Be a part of a company that's constantly evolving and driving innovation!

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Job Summary:

We are seeking a highly experienced AI/GenAI expert to drive the innovation and implementation of AI/ML and Generative AI solutions within our Quality Management and Method function. The ideal candidate is a software industry professional with a proven track record of delivering impactful AI-driven solutions, particularly in the realm of enhancing software engineering excellence. This role requires a deep understanding of AI/ML algorithms, GenAI models, and their practical applications.

Key Responsibilities:

Strategic Leadership:

• Develop and execute the AI/GenAI strategy for SQA, aligning with the company's overall technology roadmap.

· Provide thought leadership and guidance on the latest AI/GenAI trends and their potential applications in Software Quality Assurance and engineering practices.

Solution Development & Implementation:

• Design and orchestrate AI/ML and GenAI solutions to automate and enhance various use cases of quality management practices.
• Lead the development of custom AI models and the integration of pre-trained GenAI models to address specific Quality assurance challenges.
• Create solutions for defect analysis and prediction models using LLMs.

Data Management & Analysis:

• Define and implement data strategies for collecting, storing, and processing large datasets.
• Utilize advanced data analysis techniques to extract actionable insights from data.
• Ensure data quality and integrity for AI/ML model training and evaluation.

Collaboration & Communication:

• Collaborate with cross-functional teams, including software development, product management etc to identify and address Quality Assurance challenges using AI/GenAI.
• Communicate complex technical concepts and solutions effectively to both technical and non-technical stakeholders.
• Present findings and recommendations to senior management.

Research & Innovation:

• Stay abreast of the latest advancements in AI/ML and GenAI and evaluate their potential applications in SQA.
• Conduct research and experimentation to explore new and innovative AI/GenAI solutions.
• Evaluate and implement new AI tools into the software development life cycle.

Qualifications

Qualifications:

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, or a related field.
• 15-18 years of software industry experience, with a significant focus on AI/ML and GenAI.
• Proven track record of delivering successful AI/GenAI projects. Experience of having delivered particularly in the domain of software quality management and assurance is an added advantage.
• Good understanding of MLOps practices and tools
• Deep understanding of AI/ML algorithms, including supervised learning, unsupervised learning, deep learning, and reinforcement learning.
• Extensive experience with Generative AI models (LLMs, diffusion models, etc.) and their practical applications.
• Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face.
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Excellent problem-solving, analytical, and communication skills.
• Experience with prompt engineering.
• Experience with fine tuning LLMs.

Preferred Qualifications:

• Publications or patents in the field of AI/ML and GenAI.
• Experience with process reference models like ASPICE, SEI-CMM and ISO:9001:2000