Conservice is looking to solve business problems by implementing AI solutions and leading AI innovations within the company
Requirements
- Knowledge of AI/ML technologies and architectures including: LLM integration and deployment, vector databases (Pinecone, Weaviate, Chroma), RAG (Retrieval-Augmented Generation) systems, model serving platforms, and AI orchestration frameworks (LangChain, LlamaIndex, etc.)
- Experience with the Conservice technology stack as it applies to AI systems: Microservices, .NetCore, C-Sharp, React, SingleSpa, PostgreSQL, Azure AI services, Docker, ML pipelines, AI model deployment, data pipelines, and real-time inference systems
- Understanding of MLOps practices including model versioning, A/B testing for models, monitoring and observability for AI systems, and CI/CD for machine learning
- Familiarity with responsible AI practices, bias detection and mitigation, model explainability, and AI governance frameworks
- Demonstrate and drive the adoption of advanced knowledge of AI/ML engineering practices, including experiment tracking, model evaluation metrics, prompt engineering strategies, and testing methodologies for non-deterministic systems
- Established track record of being the go-to person for AI/ML initiatives, able to navigate both the technical complexities and organizational change management required for AI adoption
- Experience optimizing AI development processes including experimentation workflows, model training pipelines, and deployment strategies to ensure efficient iteration and production reliability
Responsibilities
- Lead discussions with your team about emerging AI/ML tools, technologies, frameworks, and processes that may impact how our organization grows and evolves, including LLMs, vector databases, AI orchestration platforms, and MLOps practices
- Enable the software development teams across Conservice to turn AI concepts into production-ready solutions and ensure consistent delivery of high-quality, scalable, innovative AI-powered features with the AI management platform
- Work closely with Product Management and other technical leaders to stay ahead of the curve with our AI products, model architecture, and platform capabilities
- Manage an Agile process that consistently delivers quality AI products to Conservice's team members and customers while balancing experimentation with production reliability
- Rally your team to make and keep commitments to customers, the business, and themselves, understanding the unique challenges of AI development timelines and iterative model improvement
- Team up with your Product Owner in planning and preparing your team's backlog, including AI experimentation, model training cycles, and production deployment priorities
- Ensure the quality craftsmanship of your team's AI/ML engineers, including proper model evaluation, testing strategies for AI systems, monitoring for model drift and performance degradation, and scalable inference architecture
Other
- Mentor, coach, and assist team members to be productive AI/ML engineers contributing to Conservice's utility management platform, helping them grow in areas like prompt engineering, model fine-tuning, RAG architectures, and AI system design
- Participate in interviews to find the next great AI engineer or leader at Conservice
- Meet with your team to ensure their path for success is clear and we're instilling behaviors that balance innovation in AI with responsible deployment and ongoing system maintenance
- Strong communication skills with the ability to explain AI/ML concepts, model behavior, limitations, and risks in ways that make sense to customers, executives, and non-technical stakeholders
- Ability to adjust and adapt to the rapidly evolving AI landscape, communicating effectively about new capabilities, changing best practices, and strategic pivots in AI technology
