The Technical Manager will lead complex mechanical engineering projects while providing hands-on technical direction and mentorship to senior engineering teams. They are responsible for ensuring technical quality, managing project schedules and costs, and acting as the primary technical escalation point for engineering issues.
The Senior Solution AI Architect will lead the end-to-end design and implementation of Generative AI and LLM-based solutions across enterprise applications. They are responsible for defining architecture standards, ensuring AI security and governance, and collaborating with stakeholders to translate business needs into scalable technical solutions.
The Solution Architect will lead the design and implementation of scalable, secure, and AI-enabled enterprise solutions on Microsoft Azure. They are responsible for driving cloud modernization, application transformation, and the integration of advanced AI technologies into enterprise platforms.
The Senior DevOps Lead will drive the design and implementation of enterprise DevOps practices across cloud-native and hybrid environments. They are responsible for managing engineering teams, defining governance standards, and architecting automated CI/CD pipelines and infrastructure solutions.
Lead requirements gathering efforts for the design and development of a publication management system. Act as a liaison between business stakeholders and development teams to translate complex scientific and compliance needs into actionable requirements.
Lead the design and delivery of end-to-end AI fullstack solutions, integrating frontend interfaces with robust backend services and AI layers. Manage the full development lifecycle including rapid prototyping, MLOps implementation, and mentoring engineers through architecture reviews.
