Jobs via Dice · 6 hours ago
AI Expert
Dice is the leading career destination for tech experts, and they are seeking a Forward Deployed Engineer with expertise in Generative AI to work directly with enterprise clients. The role involves designing tailored solutions, implementing them using an enterprise AI platform, and driving real-world AI adoption from ideation to production.
Computer Software
Responsibilities
Collaborate with clients to uncover root business challenges and identify high-value generative AI use cases
Translate business needs into technical requirements and solution architectures
Educate clients on the capabilities and best practices of our AI platform and the broader generative AI ecosystem
Design and implement generative AI solutions using Python, LLMs, and platform APIs
Develop prompt engineering strategies, RAG pipelines, and fine-tuning workflows
Directly implement change requests and customizations into the platform to meet client-specific needs
Lead the end-to-end delivery of client projects from discovery and prototyping to deployment and iteration
Collaborate with internal product and engineering teams to escalate issues and influence roadmap priorities
Ensure timely, high-quality delivery of solutions that meet both technical and business requirements
Stay current with the latest advancements in generative AI (e.g., LLMs, diffusion models, vector databases)
Contribute to internal knowledge sharing and reusable solution patterns
Help shape the evolution of the platform based on real-world client feedback
Qualification
Required
10+ years of experience in software engineering, ML engineering, or technical consulting
Strong hands-on experience with Python and modern AI/ML frameworks (e.g., Hugging Face, LangChain, OpenAI, etc.)
Deep understanding of generative AI concepts, including LLMs, prompt engineering, embeddings, and fine-tuning
Proven ability to discover business needs and translate them into scalable technical solutions
Strong communication and interpersonal skills able to engage with both technical and non-technical stakeholders
Experience delivering projects in fast-paced, client-facing environments
Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and MLOps tools is a plus
Bachelor s or Master s degree in Computer Science, Engineering, or a related field
Preferred
Experience with vector databases (e.g., Pinecone, Weaviate, FAISS)
Knowledge of data privacy, security, and compliance in AI applications
Prior experience in a startup or high-growth environment
Company
Jobs via Dice
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Funding
Current Stage
Early StageCompany data provided by crunchbase