• Desarrollar aplicaciones utilizando Power Apps. • Integrar SharePoint con Power Apps. • Colaborar con el equipo para abordar requerimientos del negocio.

• Work on Teamscale as a member of our team • Further development of the web front end (TypeScript) • Further development of the IDE integrations (Eclipse, NetBeans, IntelliJ, Visual Studio) • Work on the service layer and the analysis engine (Java)

Role Description SAIC is seeking a Software Engineer Principal for the Unmanned Maritime Systems Support (UMSS) effort. This program will entail Common Control System (CCS) integration in support of REPMUS (Robotic Experimentation and Prototyping with Maritime Unmanned Systems) which is an annual exercise in Portugal. This position is contingent upon award news, expected July 2026. This position is remote and will involve significant travel annually to Portugal for exercise integration support. - Work with the multidisciplinary technical team to ensure successful integration of the Common Control System into REPMUS Company Description SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. - We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. - SAIC is an Equal Opportunity Employer. - Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. - For more information, visit saic.com . - For ongoing news, please visit our newsroom .

Director of Engineering, Applied AI remote type Commutable (Hybrid/Remote/In-Office) locations New York time type Full time job requisition id R0010625 Work Locations: With the exception of some select roles that have in-office requirements, A+E Global Media operates on a flexible model that allows for remote, hybrid or full time in office work (in certain locales). Office locations include New York City, Los Angeles, Chicago, and Stamford, CT. Our list of eligible states in which employees may work remotely includes: California, Connecticut, Florida, Georgia, Illinois, Indiana, Maryland, Massachusetts, Michigan, Minnesota, Nevada, New Hampshire, New Jersey, New York, North Carolina, Oregon, South Carolina, South Dakota, Texas, West Virginia, Wisconsin, and Wyoming. Division Story A+E’s Technology team is deep-rooted in the heart of our business. We have great people and great technologies, and together we take on the toughest challenges. As innovators, we choose to iterate, pivot, and adapt quickly. We’ve reinvented the way A+E leverages technology to produce and sell world-class content. We’ve modernized our core solutions and embraced a cloud first approach. Perched on the virtues of our “Technology Code”, we make technology better, create solutions together, and most of all, we have fun with it. Our team members are motivated individuals who help each other do remarkable things every day. Together we deliver best-in-class solutions that transform the way A+E works. If this sounds like something you want to be a part of, we want to hear from you! Job Description ​THE ROLE: Director of Engineering, Applied AI A+E Global Media is seeking a strategic and hands-on Director of Engineering, Applied AI to lead the design, development, and delivery of AI-driven capabilities across our technology platforms. Reporting directly to the VP, Corporate Application Engineering & Enterprise Data, you will play a critical role in scaling our Applied AI and generative AI initiatives while collaborating with product, data, and business teams to bring next-generation media experiences to life. You will serve as a technical leader, coordinating with multiple teams — including Data Engineering, Application Development & Integrations — to drive innovation, ensure delivery excellence, and align AI capabilities with business goals. This is a unique opportunity to shape A+E Global Media’s Applied AI engineering function. As an Applied AI Engineering leader on the team, you’ll build and nurture a team of AI Engineers and improve the technical foundation for our Applied AI engineering team going forward. MORE OF WHAT YOU'LL DO: Applied AI Engineering Leadership - Drive the technical roadmap for Applied AI across key enterprise applications and business workflows. - Evaluate and implement cutting-edge AI techniques, frameworks, and best practices including LLMs to ensure the team 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 Generation (RAG) pipelines and model fine-tuning to meet business-specific needs across departments, including defining evaluation criteria and benchmarks to ensure performance, grounding, and reliability. - Design and lead systems that extract value from large structured and unstructured datasets — including PDFs in S3, SharePoint documents and emails using LLMs, RAG, RLHF, and enterprise-scale modern AI techniques. - Build Agentic AI systems that streamline & automate workflows using LLMs - Cultivate a culture of experimentation, engineering rigor, and inclusiveness where bold ideas are tested quickly and learned from openly. Delivery & Cross-Functional Collaboration - Oversee the full lifecycle of Agentic 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 Applied AI initiatives. - Drive AI-enabled data accessibility across the organization, delivering solutions and tooling that empower stakeholders at all levels, from analysts to senior executives to extract actionable insights. - Partner with Product and Business Analysts team to co-develop AI-enabled features and prioritize high-impact initiatives. - Work closely with Application Engineering teams to embed Agentic AI into production systems, improve user experience, ensuring seamless integration, scalability, and long-term maintainability. Operational Excellence - Drive engineering excellence and delivery cadence across the AI stack — observability, latency, model monitoring, evaluation harnesses, rollback paths, and sprint-level prioritization across concurrent workstreams. - Build and maintain scalable, cloud-based AI infrastructure that supports rapid experimentation, model serving, and cost-controlled inference at media-scale workloads. - Champion responsible AI development aligned with privacy, IP, copyright, and ethical standards — particularly relevant for media content and audience data. BASIC REQUIREMENTS: Required - 8 or more years of technology engineering work experience including 2+ years in Applied AI software integration experience - Will have 3 or more years of team leadership experience Experience with Python and/or Typescript/Javascript. Well-versed in SQL. - Experience working with LLM provider APIs (e.g., OpenAI, Anthropic, Google Gemini) and frameworks (e.g., LangChain, LlamaIndex, AutoGen, AI SDK) to build agentic or multi-agent AI workflows - Experience in building and deploying AI-powered applications at scale, with a strong focus on applying large language models (LLMs) to real-world products and workflows. - Experience working with Agentic AI, Embeddings, RAG, RLHF and other AI techniques at enterprise scale. - Experience designing or applying evals on systems built on top of LLMs, including prompt testing, grounding, hallucination detection, and performance benchmarking. - Excellent communication skills and experience working on cross-functional initiatives. Preferred - Experience with agentic 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 projects is a plus - Familiarity with vector databases and RAG pipelines (e.g., Pinecone, Weaviate, 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, Hugging Face Transformers, Scikit-learn) and deploying models to production is a plus - Experience with MLOps tooling (e.g., MLflow, Weights & Biases, Kubeflow) and cloud ML platforms (e.g., AWS SageMaker, Google Vertex AI, Azure ML) is a plus. - Familiarity with data engineering tools and platforms (e.g., Databricks, Snowflake, Apache Spark, dbt, Kafka) is a plus - Familiarity with data privacy, copyright, and ethical issues in Applied AI applications is helpful but not needed. - Experience in the media, entertainment, ad-tech, mar-tech or publishing industry is a plus. Compensation Annual Pay Range: $188,034 - $220,000 Annual Incentive Target: 17.50% The annual/hourly pay range displayed serves as a good faith estimate of the minimum and maximum base pay range for this role. Compensation for the role will be based on a number of different factors such as a candidate’s qualifications, skills, competencies, location, and experience. A+E offers a competitive total compensation package, which includes healthcare coverage, 401k matching, and a range of other benefits.