Sr. AI Engineer - Enterprise AI Solutions

Job Summary

As a Staff/Sr. Staff AI Engineer for Enterprise AI Solutions, you will be a critical technical leader responsible for the hands‑on design, development, and implementation of AI‑powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). You will work closely with Principal and Distinguished Architects to translate high‑level strategies into concrete AI solution designs and robust, scalable, and ethical implementations.

This role demands deep technical expertise, a strong ability to solve complex problems, and a commitment to mentoring other engineers, leveraging our Enterprise AI Platform to deliver measurable business impact.

AI Solution Implementation:
Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications.

Platform Development:
Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security. Contribute to the lifecycle of traditional and Generative AI model deployment and real‑time inference systems.

System Optimization:
Design and optimize large‑scale AI/ML systems for performance, reliability, and developer‑friendliness, focusing on low latency and high throughput in real‑time AI applications.

Technology Adoption:
Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines. Lead POCs for emerging AI innovations.

Architectural Best Practices:
Champion design standards and best practices for AI systems, guiding junior engineers.

Technical Leadership:
Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence.

Cross‑Functional

Collaboration:

Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production‑grade AI solutions.

Responsible AI & Quality:
Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoring.

Innovation & Research:
Apply cutting‑edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs.

• 8+ years in software engineering, with 5+ years in Data science/AI/ML experience. We are open to both a Staff/Sr Staff level;
  Final leveling will be based on overall years of applied experience and overall interview performance.
• Experience deploying enterprise AI/ML systems.
• Understanding of the AI lifecycle.
• Experience with distributed systems and streaming data.
• Hands‑on experience with Generative AI and LLMs.
• Proficiency in AI/ML frameworks and cloud platforms.
• Strong programming skills (Python and C++).
• Excellent communication skills.
• Masters/Bachelors degree in Computer Science or related field.

• PhD degree in Computer Science, Applied Mathematics, Machine Learning or related computation field.
• Experience with open‑source AI projects.
• Prior technical lead role for AI/ML projects.
• Familiarity with cybersecurity principles for AI.

Deep Technical Expertise:
Strong foundation in machine learning (theory and application), deep learning, statistical modeling, and relevant programming languages (Python, R) and libraries (Tensor Flow, PyTorch, scikit‑learn).

Proven Research & Innovation:
Track record of conceiving and executing novel research, publishing in top‑tier conferences/journals, or delivering innovative AI solutions with significant business impact.

System Design & Scalability:
Ability to design, build, and deploy scalable and robust AI systems. Understanding of MLOps and data engineering principles.

Problem…