AI Engineer
Role details
Job location
Tech stack
Job description
We are seeking a Senior AI Engineer to join a highly strategic innovation group responsible for researching, designing, and deploying advanced AI solutions across the enterprise. This role offers the opportunity to influence AI direction from the earliest stages, shape foundational capabilities, and develop production ready models that drive measurable business outcomes. You will work in a hands on capacity designing models, building pipelines, performing QA, and converting experimental approaches into scalable, enterprise grade solutions. This is a collaborative, business facing role that requires strong communication skills, deep technical expertise, and the ability to translate complex concepts into actionable delivery., u2022 Design, develop, and deliver AI and machine learning solutions that support enterprise level initiatives \u2022 Serve as a senior technical authority guiding AI strategies, experimentation, and innovation \u2022 Lead research and discovery efforts to identify high value AI opportunities across the organization \u2022 Build and optimize models including deep learning, LLM based solutions, and predictive systems \u2022 Translate research methodologies into deployable, production ready solutions \u2022 Develop end to end pipelines for data preparation, training, evaluation, deployment, and monitoring \u2022 Optimize model performance, scalability, reliability, and operational efficiency \u2022 Embed fairness, transparency, and responsible AI practices into all model development \u2022 Stay current with emerging AI trends, frameworks, and tools and apply them to strategic planning \u2022 Collaborate closely with engineering, product, and business teams to ensure alignment on requirements \u2022 Perform hands on QA and validation to ensure model integrity and performance \u2022 Participate in additional technical projects and initiatives as assigned
Requirements
u2022 Bachelor\u2019s degree in Mathematics or Computer Science required advanced degrees preferred \u2022 Minimum five years of engineering experience using Python, C, C++,\u00a0C#,\u00a0Java, JavaScript or similar languages Python is required C# experience preferred \u2022 Two plus years of experience with Python machine learning frameworks such as PyTorch or TensorFlow \u2022 Proven experience applying large language models generative AI or agent based frameworks to real business problems \u2022 Demonstrated success delivering at least one large scale AI or ML solution in Azure AWS or Google Cloud Platform \u2022 Strong understanding of ML algorithms deep learning architectures data structures and optimization techniques \u2022 Familiarity with MLOps and deployment technologies including Docker Kubernetes and MLflow \u2022 Ability to translate experimental research into practical enterprise grade implementations \u2022 Excellent communication critical thinking and stakeholder engagement skills \u2022 Experience with transformers federated learning edge AI or real time inference is a plus \u2022 Contribution to open source research patents or publications is highly valued \u2022 Must be able to work onsite in Irvine CA or Plano TX four to five days per week exceptional candidates may be considered for two to three days onsite
Success Profile \u2022 Strong mathematical foundation comfortable with exponents division and advanced concepts used in AI engineering \u2022 Highly collaborative and eager to work in a fast moving discovery phase environment \u2022 Confident communicator capable of engaging senior leaders and cross functional partners \u2022 Thrives in hands on problem solving and ground level innovation work