As an AI Expert Senior Engineer, you will play a central role in shaping how artificial intelligence is applied to solve complex challenges in engineering and project delivery. Your work will focus on turning business and operational requirements into practical, scalable AI solutions that drive measurable improvements in efficiency, decision-making, and execution quality.
Key Responsibilities
- Identify and assess opportunities where AI can enhance product development and project performance
- Translate functional needs into technical AI architectures, including data requirements and modeling strategies
- Design and build proof-of-concept models and prototypes to validate AI use cases
- Develop AI agent frameworks and automated workflows to streamline processes
- Work closely with engineers, product teams, and domain specialists to deliver integrated AI solutions
- Lead the implementation of AI platforms and tools, ensuring alignment with security, scalability, and best practices
- Communicate technical designs and trade-offs clearly to both technical and non-technical audiences
- Produce clear documentation, implementation guides, and technical standards
- Evaluate emerging AI technologies and recommend those that improve performance or delivery
- Support team growth through knowledge sharing and technical mentorship
Qualifications
Candidates should hold a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. You must have a proven track record in designing and deploying AI or machine learning systems in production environments.
Essential skills include a solid grasp of machine learning, natural language processing, predictive analytics, and automation. You should be familiar with modern AI ecosystems—ranging from traditional ML to deep learning, generative AI, and agent-based systems—and be able to assess the feasibility of AI applications based on data availability, complexity, cost, and expected impact.
Strong analytical thinking, communication, and collaboration abilities are required. Experience working in multidisciplinary technical teams and an understanding of responsible AI principles and governance are also important.
Preferred Background
- Experience with MLOps or AI deployment pipelines
- Hands-on work with Python and frameworks such as TensorFlow or PyTorch
- Familiarity with cloud AI platforms like Azure, AWS, or GCP
- Track record of delivering AI solutions in applied settings such as engineering, operations, or analytics
Work Environment
This role operates under a hybrid model, with locations in Noida, Bengaluru, and Mumbai. The approach balances collaboration, productivity, and team cohesion while supporting flexibility. You’ll work within a close-knit network of professionals tackling meaningful challenges, with access to global projects and a culture that values innovation, inclusion, and continuous learning.
The organization prioritizes health, safety, and personal wellbeing, guided by a Zero Harm vision. It fosters a diverse, equitable environment with unbiased practices in hiring and career development. With a global community of over 73,000 professionals, the firm supports purpose-driven work and individual growth through technical leadership and shared expertise.
