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.

Role Description The Principal Engineer, Data provides technical leadership across the design, development, modernization, and operation of enterprise data platforms and analytics solutions. This role is responsible for defining scalable data engineering patterns, leading complex data integration and transformation initiatives, and enabling reliable, governed, and high-performing data products that support business reporting, analytics, and advanced AI/ML use cases. The role works closely with data analysts, data engineers, business stakeholders, architects, product owners, and technology partners to translate business needs into resilient data solutions. The Principal Engineer, Data serves as a senior technical expert and mentor, helping the team modernize from legacy reporting and ETL platforms toward cloud-native, automated, and analytics-ready data architecture. Essential Functions - Provide technical feasibility analysis and solution evaluation for data and analytics initiatives based on business, operational, and regulatory needs. - Lead the design and implementation of scalable data engineering solutions, including data pipelines, data models, data integrations, and analytics-ready data products. - Provide technical leadership for data architecture, ETL/ELT design, code reviews, performance tuning, production support, and issue resolution. - Guide modernization of legacy data and reporting platforms, including migration from traditional ETL and reporting tools to modern cloud data platforms and transformation frameworks. - Design and oversee data pipelines using cloud-based technologies, Python, Spark, SQL, and related orchestration and transformation tools. - Support enterprise analytics platforms, including data warehouse, reporting, semantic layer, and business intelligence environments. - Partner with stakeholders to define and execute the technical roadmap for data engineering, analytics enablement, platform modernization, data quality, and automation. - Establish and promote engineering standards, reusable patterns, coding guidelines, testing practices, data quality controls, and documentation expectations. - Collaborate with architecture, security, infrastructure, governance, and business teams to ensure data solutions are secure, reliable, scalable, and aligned to enterprise standards. - Mentor engineers and technical team members, supporting skill development in cloud data engineering, data modeling, analytics engineering, and modern data platform practices. - Contribute to AI/ML enablement by ensuring data pipelines, curated datasets, and feature-ready data assets are reliable, governed, and suitable for advanced analytics and machine learning use cases. - Stay informed about emerging data engineering, cloud, analytics, AI/ML, and automation trends to drive continuous improvement and technical innovation. Qualifications - Bachelor’s degree in computer science, information systems, data engineering, analytics, engineering, or equivalent training and experience. - 12+ years of experience in software engineering, data engineering, analytics engineering, or enterprise data platform development. - Proven experience designing, developing, and maintaining complex data solutions involving multiple systems, stakeholders, business domains, and production dependencies. - Strong experience with Python, SQL, distributed data processing, and ETL/ELT development; experience with Spark or similar large-scale data processing frameworks strongly preferred. - Experience with cloud-based data platforms and services, preferably AWS, including development, deployment, monitoring, and operational support of data solutions. - Experience with enterprise data warehouses, data marts, reporting platforms, and business intelligence solutions; familiarity with platforms such as Redshift, Snowflake, SAP BusinessObjects Data Services, SAP Web Intelligence, or similar technologies preferred. - Experience with modern data transformation and analytics engineering tools such as dbt or equivalent frameworks preferred. - Strong understanding of data modeling, data warehousing, data quality, metadata management, data lineage, performance optimization, and production support practices. - Working knowledge of AI/ML concepts and the data engineering practices required to support advanced analytics, machine learning, and model-ready datasets. - Proven ability to design data solutions that integrate with internal and external systems while meeting security, governance, scalability, and reliability requirements. - Deep understanding of software development and data engineering practices in a distributed team environment, including version control, testing, CI/CD, release management, and operational monitoring. - Excellent problem-solving, analytical, communication, and stakeholder management skills. - Proven team player with the ability to mentor technical team members and influence engineering direction across teams. - Cloud, data engineering, data architecture, analytics engineering, or AI/ML certifications preferred. - Current and target technology environment may include AWS, Python, Spark, SQL, Redshift, SAP BusinessObjects Data Services, SAP Web Intelligence/Reports, dbt, Snowflake, and related data engineering, reporting, and orchestration platforms. Company Description We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

Role Description Transform technology into opportunity as a BMC Remedy/Helix Developer at GDIT. Shape what’s next for mission-critical government projects while shaping what’s next for your engineering career. Position is currently pending funding. As a BMC Remedy/Helix Developer, the work you’ll do at GDIT will be impactful to the mission of the NESD Helix engineering team: - Provide accurate technical guidance on application and integration capability. - Gather requirements, prepare and deliver presentations and demos, conduct requirements gathering, write requirements and design documentation, implementation guides, and test scripts. - Develop workflow and integrations including building forms, fields, workflow in Developer Studio and Innovation Studio, and build data import files for Foundation and Transactional Data. - Develop RestAPI, WebService, and LDAP integrations between Helix and external applications/systems. - Develop Digital Workplace Service Offerings. - Work incident assignments, communicate with customers per defined methods and within service level agreement, create follow-on change requests and Jira stories to accommodate changes. - Prepare and coordinate change requests, follow the prescribed operating procedures, maintain and update the Production environment, meet key performance indicator thresholds. - Multi-task on projects that include customer onboarding, ad-hoc requests, sustainment support, and continual service improvement initiatives. - Identify and communicate gaps between out of the box workflow and custom requirements. Work with teams to provide out-of-the-box solutions in order to minimize customization. - Maintain system integrity by utilizing defined configuration control practices and change management processes. - Manage your sprint load, forecast your work products and deadlines, execute to milestones and deadlines, keep your technical debt to a minimum, and provide product demonstrations of completed sprint products. - Communicate verbally and in written form in a professional manner with customers, peers, and leadership. - Participate in on-call rotation, daily scrums, sprint planning meetings, technical implementation reviews, approved service interruption change windows, and other requests as needed. - Work in a remote team environment supporting scheduled and ad-hoc video/audio meetings. Qualifications - 5+ years of software development experience. - BMC Accredited Administrator or commensurate Remedy/Helix Developer Studio experience. - Experience with SAAS solutions or AWS Cloud environments. - Experience with BMC Remedy version 23.x or higher. - Experience with ITIL methodologies, ITIL Foundation a plus. - Experience with Helix/Remedy application process flows. - Expert familiarity in one or more 23.x+ Helix applications including: - Incident Management - Remedy Knowledge Management - Change Management - Task Management - Release Management - Service Level Management - Service Request Management - Work Order Management - Smart Reporting - Helix Dashboards - Smart IT - Digital WorkPlace Portal (DWP) - Configuration Management Database (CMDB) - Asset Management - Experience with one or more of the following: Pentaho Spoon, BMC HDM, RestAPI or Webservices to build and/or maintain system interfaces or migrate data. - Optional: Experience in other Helix applications such as IT Operations Management, Business Workflows, or Business Portfolio Manager. - Experience working in an Agile project methodology environment. JIRA story management a plus but not required. - Excellent ability to communicate and convey ideas in verbal and written form. - Ability to create and edit documents in Microsoft Word, Excel, and PowerPoint. - Advanced ability to analyze data with Microsoft Excel or comparable tools. - Ability to create and describe process flows in Microsoft Visio or comparable tool. - Experience managing documents in Microsoft SharePoint. - Working knowledge of relational databases. - Understanding of networking concepts and OSI rules. - Ability to utilize logging to troubleshoot issues. - Experience providing demonstrations to customers. - Experience gathering requirements from customers. - Experience documenting requirements. - Experience working with multiple projects and team members. - Demonstrated ability to work productively in a remote location. Requirements - Active Secret clearance preferred. - CompTIA Security+ CE certification (may obtain within 3 months from start date). - BS degree; additional years of experience may be considered in lieu of degree. Benefits - Comprehensive benefits and wellness packages. - 401K with company match. - Competitive pay and paid time off. - Full-flex work week to own your priorities at work and at home. - Award-winning culture of innovation and a military-friendly workplace.