Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Lead AI Engineer to build the next generation of AI-powered experiences, platforms, and intelligent workflows. The role provides hands-on technical leadership across AI engineering, software development, product development, and platform architecture, including designing production-grade systems, leading technical initiatives, and establishing scalable and responsible AI capabilities.
Responsibilities
- Design and deliver AI-powered capabilities that solve meaningful business problems
- Develop solutions using large language models, retrieval-augmented generation (RAG), autonomous agents, semantic search, and other modern AI techniques
- Own technical architecture from prototype through production deployment
- Create reusable platform capabilities that accelerate future AI development
- Serve as a technical leader and trusted advisor across multiple teams
- Mentor engineers and help raise the overall technical bar
- Drive engineering best practices around architecture, testing, deployment, observability, and operational excellence
- Conduct design and code reviews while helping teams navigate complex technical decisions
- Evaluate emerging AI technologies, frameworks, and approaches
- Rapidly prototype new ideas and determine where they can create real value
- Bring a practical mindset to innovation-separating hype from opportunity
- Help define the organization's long-term AI engineering strategy
- Design cloud-native systems capable of supporting enterprise-scale usage
- Optimize performance, reliability, scalability, and operational costs
- Develop integration patterns connecting AI capabilities to enterprise systems, knowledge sources, APIs, and workflows
- Help establish standards and foundations that enable many teams to build on top of AI safely and efficiently
- Ensure solutions meet security, privacy, compliance, and governance requirements
- Define evaluation strategies that measure quality, accuracy, safety, and business impact
- Help establish best practices for AI observability, monitoring, and risk management
Skills
- 8+ years of software engineering experience
- 3+ years building or leading production AI/ML solutions
- Strong experience with large language models, AI orchestration frameworks, vector search, RAG, and prompt engineering
- Proficiency in Python and at least one additional modern programming language, preferrably C#/.Net
- Experience building cloud-native applications in Azure, AWS, or Google Cloud Platform
- Strong understanding of software engineering fundamentals, system design, APIs, CI/CD, testing, and DevSecOps
- Demonstrated ability to lead complex technical initiatives and influence across teams
- 40
- Experience building agentic or autonomous AI systems
- Experience developing reusable AI platforms and shared services
- Familiarity with model evaluation frameworks, fine-tuning, or advanced ML techniques
- Experience building developer productivity or AI-assisted engineering solutions
- Experience operating in regulated or highly governed environments
- Open-source contributions, patents, technical publications, or conference speaking experience
Benefits
- This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
- Medical benefits
- Dental benefits
- Vision benefits
- 401(k) retirement savings plan
- Paid time off
- Company holidays
- Personal holidays
- Paid parental leave
- Paid caregiver leave
- Short-term disability
- Long-term disability
- Life insurance
- Remote position
Company Overview
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