Solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.) using AI-powered solutions.
Requirements
- 8+ years in software engineering, with 4+ years in AI/ML solutions or platform development
- Hands-on expertise in building and deploying enterprise-grade AI/ML systems
- Understanding of the AI lifecycle: data, training, evaluation, deployment, and monitoring
- Experience with distributed systems, streaming data, data lakes, and real-time decision engines
- Generative AI & LLMs: Experience with LLMs, multi-modal models, RAGs, and agentic AI systems
- Proficiency in AI/ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS SageMaker, Google Cloud AI, Azure ML)
- Strong programming skills (Python, Java, Go)
Responsibilities
- 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
- 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
- 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
- Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines
- Lead POCs for emerging AI innovations
- Champion design standards and best practices for AI systems, guiding junior engineers
Other
- Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence
- Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions
- Ensure AI systems comply with responsible AI principles and security policies
- Implement automated testing and monitoring
- Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs
- Excellent communication skills
- Bachelor's or Master's degree in Computer Science or related field
- System-level thinking: Understanding and optimizing distributed AI architectures
- System-Level Thinking: Demonstrated ability to think at a system level, understanding complex interdependencies within distributed AI architectures and optimizing end-to-end performance
- Master's degree in Computer Science, Machine Learning, or a related technical field or equivalent military experience required
- Experience contributing to open-source AI projects
- Prior experience in a technical lead role for AI/ML projects
- Familiarity with cybersecurity principles as they apply to AI systems
