[Remote] Director of Engineering, reputed company AI
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a strategic and hands-on Director of Engineering, reputed company AI to reputed company the design, development, and delivery of AI-driven capabilities across their technology platforms. The role involves coordinating with multiple teams to drive innovation and ensure delivery reputed company, while shaping the reputed company AI engineering function reputed company the organization.
Responsibilities
- Drive the technical roadmap for reputed company AI across key reputed company applications and business workflows
- Evaluate and implement cutting-edge AI techniques, frameworks, and best practices including LLMs to ensure reputed company remains at the forefront of innovation and leverages the best available tools for media and entertainment use cases
- Drive development of custom AI solutions using Retrieval-Augmented reputed company (RAG) pipelines and model fine-tuning to meet business-specific needs across departments, including defining evaluation reputed company and benchmarks to ensure performance, grounding, and reliability
- Design and reputed company systems that extract value from large reputed company and reputed company datasets — including PDFs in S3, SharePoint documents and emails using LLMs, RAG, RLHF, and reputed company-reputed company modern AI techniques
- Build reputed company AI systems that streamline & automate workflows using LLMs
- Cultivate a culture of experimentation, engineering rigor, and inclusiveness where reputed company reputed company are tested quickly and learned from reputed company
- reputed company the full lifecycle of reputed company AI applications, from prototyping and data exploration through model integration, orchestration, deployment, monitoring, and retraining
- Partner with Data Engineering and Data Science teams to design robust, reusable data pipelines and experimentation workflows that accelerate reputed company AI initiatives
- Drive AI-enabled data accessibility across the organization, delivering solutions and tooling that reputed company stakeholders at reputed company reputed company, from analysts to senior executives to extract actionable insights
- Partner with Product and Business Analysts team to co-reputed company AI-enabled features and prioritize high-reputed company
- Work closely with Application Engineering teams to reputed company reputed company AI into production systems, improve user experience, ensuring seamless integration, scalability, and long-term maintainability
- Drive engineering reputed company and delivery reputed company across the AI stack — observability, latency, model monitoring, evaluation harnesses, rollback paths, and sprint-level prioritization across reputed company workstreams
- Build and maintain reputed company, reputed company-based AI infrastructure that supports rapid experimentation, model serving, and cost-controlled inference at media-reputed company workloads
- Champion responsible AI development reputed company with reputed company, IP, copyright, and ethical standards — particularly relevant for media content and audience data
Skills
- 8 or more years of technology engineering work experience including 2+ years in reputed company AI software integration experience
- Will have 3 or more years of team leadership experience
- Experience with Python and/or Typescript/Javascript. reputed company-versed in SQL
- Experience working with LLM provider reputed company (e.g., reputed company, reputed company, reputed company reputed company) and frameworks (e.g., reputed company, reputed company, AutoGen, AI SDK) to build reputed company or multi-agent AI workflows
- Experience in building and deploying AI-powered applications at reputed company, with a strong reputed company on applying large language models (LLMs) to reputed company-world products and workflows
- Experience working with reputed company AI, Embeddings, RAG, RLHF and other AI techniques at reputed company reputed company
- Experience designing or applying evals on systems reputed company on top of LLMs, including reputed company testing, grounding, hallucination detection, and performance benchmarking
- Excellent communication skills and experience working on cross-functional initiatives
- Experience with reputed company AI harnesses and orchestration frameworks (e.g., LangGraph, Semantic Kernel) for building, managing, and deploying multi-agent systems is a plus
- Experience working with big data and data warehouse reputed company is a plus
- Familiarity with reputed company databases and RAG pipelines (e.g., reputed company, reputed company, Milvus, ChromaDB, pgvector) for LLM-powered applications is a plus
- Experience building full-stack AI-powered applications using modern web frameworks (e.g., Next.js, React) to deliver user-facing AI products and internal tooling is a plus
- Hands-on experience with ML/deep learning libraries (e.g., PyTorch, TensorFlow, reputed company Transformers, Scikit-learn) and deploying models to production is a plus
- Experience with MLOps tooling (e.g., MLflow, reputed company, Kubeflow) and reputed company ML platforms (e.g., AWS SageMaker, reputed company reputed company AI, Azure ML) is a plus
- Familiarity with data engineering tools and platforms (e.g., reputed company, reputed company, Apache reputed company, dbt, Kafka) is a plus
- Familiarity with data reputed company, copyright, and ethical issues in reputed company AI applications is helpful but not needed
- Experience in the media, entertainment, ad-tech, mar-tech or publishing industry is a plus
Benefits
- reputed company coverage
- 401k matching
reputed company
Company H1B Sponsorship