AI Engineer
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Job Description
- Lead and execute AI/ML assessments to evaluate current-state analytics, automation, and AI maturity across client organizations.
- Design and drive AI transformation roadmaps aligned with business objectives, identifying opportunities for predictive analytics, intelligent automation, and Generative AI adoption.
- Architect and implement AI/ML solutions leveraging traditional machine learning, NLP, computer vision, and Generative AI technologies.
- Build and optimize machine learning pipelines, model training workflows, feature engineering processes, and deployment architectures.
- Design and implement Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and enterprise AI frameworks.
- Work closely with business stakeholders to gather requirements, define use cases, prioritize opportunities, and establish measurable success criteria.
- Lead proof-of-concepts (PoCs), pilots, and production deployments while ensuring scalability, security, and governance compliance.
- Develop technical documentation including architecture diagrams, implementation plans, AI solution blueprints, and operational runbooks.
- Collaborate with cloud, security, application, and data engineering teams to ensure successful solution delivery.
- Stay current with emerging AI technologies, frameworks, and best practices, and provide strategic recommendations to clients.