Back
Strong Tier-1 brand but senior, niche GenAI skills reduce applicant density.
Requires deep GenAI and production ML expertise, limiting cross-industry transferability.
Explicit 12+ years requirement plus mandatory GenAI, MLOps, and deep learning skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and development of AI/ML solutions including Generative and Agentic AI, focusing on proof-of-concepts that transition into scalable, production-ready systems.
Drive creation of reusable AI assets such as prompts, architectures, workflows, and evaluation frameworks to accelerate enterprise-wide AI adoption.
Collaborate cross-functionally with business, product, and engineering teams to align AI initiatives with measurable business outcomes and oversee technical readiness and operational considerations.
Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Artificial Intelligence, or related field; Master's preferred.
12+ years of experience delivering AI/ML solutions including Generative AI (LLMs, RAG, prompt engineering) and Agentic AI frameworks.
Proficient in Python and SQL programming with cloud experience in Azure, AWS, and/or Google Cloud.
Work Experience Required: 12+ years specifically in enterprise-scale AI/ML solution delivery.
Experienced in hands-on experimentation and production deployment of advanced AI technologies, particularly Generative and Agentic AI, with solid understanding of AI Development Lifecycle (AIDLC).
Strong collaborator able to translate complex business problems into AI solutions and drive cross-team adoption and scalability of AI systems.
Demonstrated ability to create reusable AI frameworks, accelerators, and evaluation methodologies supporting rapid enterprise AI innovation and deployment.