[Remote] Senior AI Engineer, Enterprise AI
Note: The job is a remote job and is open to candidates in USA. GE HealthCare is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale. As a Senior AI Engineer, you will develop and deliver innovative GenAI and Agentic AI solutions, collaborating across teams to solve complex business challenges and deliver scalable solutions.
Responsibilities
- Lead development of AI-driven solutions including but not limited to:
- Designing RAG models, agent workflows, and multi-step reasoning models
- Build agentic automation solutions to streamline IT business processes
- Unstructured data analysis
- Integrating ML/GenAI models and LLM orchestration into end-user AI applications
- Conduct research and stay updated with the latest advancements in AI technologies
- Translate AI research into business solutions
- Project Execution: Lead and contribute to AI engineering projects from ideation through implementation, ensuring solutions are robust, scalable, and aligned with organizational priorities
- Cross-Functional Collaboration: Work closely with colleagues in data engineering, ML engineering, data science, analytics, GenAI, and business stakeholders to deliver integrated solutions and drive project success
- Technical Excellence: Apply best practices in data preparation, feature engineering, model selection, validation, and deployment. Participate in code reviews and contribute to technical documentation
- Continuous Improvement: Stay current with advancements in ML, GenAI, and analytics. Proactively identify opportunities to improve existing models and processes
- Business Impact: Translate complex AI engineering concepts into actionable insights for business partners, supporting decision-making and measurable outcomes
- Mentorship & Learning: Share knowledge with peers, contribute to team learning, and seek opportunities for professional growth
Skills
- Bachelor's with 5+ years, Master's with 3+ years, or PhD with 0 years of direct AI/ML experience in industry with demonstrated success building and deploying enterprise-grade solutions at scale
- Proven ability to apply AI to solve real-world problems in areas such as forecasting, pricing, customer analytics, sales planning, computer vision, and operational optimization
- Bachelor's, Master's, or PhD in Computer Science, AI, Data Science, Engineering, Applied Mathematics, or related field
- Expertise in the latest AI tools and platforms such as MCP, A2A, AWS Bedrock, AWS AgentCore, Azure AI Foundry, LLM foundational models, and agentic orchestration & monitoring platforms such as LangGraph/LangSmith
- Expertise in GenAI model development, AI Agent design and orchestration, Computer Vision, Deep Learning, Transformers, Self-Supervised Learning, and LLM fine tuning
- Understanding of analytics practices relevant to commercial operations, logistics, inventory management, manufacturing, and finance
- Strong ability to convey complex technical concepts to non-technical stakeholders and senior executives
- Proven success working in cross-functional, hybrid, and virtual teams
- Commitment to ethical data science practices
- Willingness to travel for business meetings as needed
Benefits
- Medical
- Dental
- Vision
- Paid time off
- A 401(k) plan with employee and company contribution opportunities
- Life, disability, and accident insurance
- Tuition reimbursement
Company Overview