Managing Consultant for AI and Data Team supporting utility clients with data - driven analysis on regulatory and operational challenges. Leading analytic work and mentoring junior staff while ensuring high - quality delivery.
About the role
- AI Engineer focused on building scalable AI agent systems for enterprises. Engaging with both open-source and closed-source LLMs while ensuring business alignment.
Responsibilities
- Develop complex multi-step agentic pipelines around open- and closed-source LLMs.
- Build tools enabling AIs to interact with critical enterprise software platforms.
- Ensure AI designs align with business objectives and industry best practices.
- Create data generation and processing pipelines to train and fine-tune custom ML models.
- Implement and manage training and evaluation pipelines for LLMs.
- Manage AI infrastructure across platforms such as AWS, Azure, or GCP.
- Deploy inference endpoints and serve AI and LLM technologies as part of our core product infrastructure.
Requirements
- Earned a Bachelor’s degree, Master's degree or Ph.D. in Computer Science, Engineering, or a related field.
- 3+ years of experience in software engineering, platform engineering, or related roles.
- Proven expertise in AI model building and agent development.
- Strong background in ML and LLM-driven systems development.
- Experience with compound AI systems, vector databases, and tool-calling AIs.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Leading global AI transformation and data governance initiatives at ZEISS while ensuring security and compliance. Managing cross - functional teams and driving innovation in AI technologies and cyber security.
Dual study program in Artificial Intelligence focusing on engineering sciences at Omexom, Germany. Involves alternating theory and practical phases with support from experienced colleagues.
Director of Data & AI Strategy at Aramark focusing on data solutions and AI initiatives. Leading the roadmap to improve decision - making and operational efficiency.
MujinのフィジカルAIによる作業自動化の推進役。フィジカルAIを利用した業界の未来についての講演イベント。
Intern supporting the development and adoption of AI tools and technologies in the company. Collaborating within an AI - & - Automation team to enhance Microsoft Copilot and related services.
Senior Director leading data product development and AI applications for Oncology at Johnson & Johnson. Accelerating R&D through innovative data solutions and interdisciplinary team leadership.
Senior Director of Oncology Data & AI Systems leading a team to develop technical AI solutions for Oncology. Responsible for delivering impactful data products for R&D across multiple locations in the US.
AI Product & Business Lead developing scalable AI services for a family - owned full - service provider in financial supply chain automation. Building structures and processes for stable AI operations with customer collaboration.
Consultant managing Data & AI projects in a strategic role at a leading AI firm. Engaging directly in impactful projects and working closely with experienced teams.