The AI Engineer Intermediate Analyst is an intermediate-level professional responsible for designing and implementing complex, scalable AI solutions in coordination with the AI Innovation team. The overall objective is to apply a strong understanding of AI, software architecture, and business processes to build and optimize high-performance AI systems.

Responsibilities:

• Design and develop production-ready Generative AI and Agentic solutions, with a strong focus on Agent Architecture selection, memory management, hallucination control, and performance measurement.
• Analyze complex business processes and problems to design and implement technology and analytic solutions at scale, with a focus on performance optimization.
• Develop and maintain robust data and technology pipelines, ensuring they are scalable, efficient, and reliable.
• Implement feedback loops for AI agents using reinforcement learning techniques to continuously improve solution effectiveness.
• Take ownership of the technical design and implementation of AI features and services.
• Adhere to and promote best practices in software development, MLOps, and Model Governance.
• Mentor junior engineers and provide technical guidance on projects.

Qualifications:

• 4-7 years of overall experience with a minimum of 2 years of experience in developing production-ready Gen AI based RAG or Agent-based solutions.
• Strong experience in designing Agentic solutions, including Agent Architecture selection, memory management, hallucination control, and measuring solution effectiveness.
• Proven ability to analyze business problems and design scalable technology/analytic solutions.
• Hands-on experience with performance optimization of highly scalable systems.
• Strong proficiency in Python and deep experience with AI/ML frameworks (PyTorch, TensorFlow, LangChain).
• Extensive experience with cloud platforms (AWS, Azure, GCP), containerization (Kubernetes), and MLOps tools.
• Experience with data pipeline and technology pipeline development.
• Excellent analytical skills and a deep understanding of software architecture principles.

Education:

• Bachelor's/University degree or equivalent experience in Computer Science, Engineering, or a related quantitative field.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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