Design, develop, and maintain production-grade AI/ML code, services, and integrations
Build and iterate on AI prototypes, proofs of concept, and production systems
Contribute to codebases, CI/CD pipelines, and engineering standards for AI solutions
Collaborate with teams to ensure maintainable, testable, and scalable implementations
Design and operate agent-driven systems that autonomously execute workflows, with humans providing oversight, governance, and continuous optimization
Partner with business units to identify and evaluate high-value AI opportunities that align with Lightedge’s strategic goals
Contribute to the design of scalable and cyber-resilient AI and ML solutions, ensuring seamless integration with enterprise systems
Collaborate with data engineering and platform teams to operationalize AI models and embed intelligence into workflows and customer experiences
Ensure all AI initiatives align with enterprise data governance, security, and privacy standards
Act as a technical and strategic advisor to business stakeholders on how to responsibly leverage emerging AI technologies
Work closely with product management, IT, and Operations, and Security teams to ensure a secure, resilient, consistent delivery, and maintainability
Regularly communicate with executive leadership and business stakeholders to align AI strategy with organizational goals
Monitor, evaluate, and optimize the performance of deployed AI models and systems
Own post-deployment support, monitoring, and continuous improvement of AI systems until transitioned to long-term support
Ensure that all underlying systems are protected against cybersecurity threats and can recover rapidly in the event of a cyberattack or unexpected system outage
Develop and implement AI governance frameworks and ensure ethical AI practices, including maintenance of architectural diagrams, model documentation, and compliance records for AI systems
Work with the Sales team as needed, serving as an AI SME during the sales cycle for new customers
Requirements
Proficiency in Python for AI/ML and data processing
Experience with one or more of JavaScript/TypeScript, Java, or C# for API and application development
Experience with building microservices, distributed systems, CI/CD Pipeline, and DevOps practices
Experience evaluating AI model outputs, including prompt testing, benchmarking, and performance tuning
Knowledge of vector databases, RAG pipelines, or LLM orchestration frameworks
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or equivalent experience
3+ years of experience working with machine learning, NLP, or generative AI technologies, including RAG pipelines, vector databases, and prompt engineering
Strong proficiency in cloud platforms (Azure, AWS, or GCP) and API-based integrations
Experience deploying models via REST APIs, data pipelines, or event-driven frameworks
Working knowledge of data governance, model monitoring, and security principles
Excellent communication skills and ability to translate technical concepts into business value