• Build, configure, and deploy agentic AI solutions using Microsoft Copilot Studio • Design conversational and workflow agents that integrate with Microsoft 365 apps (Outlook, Teams, SharePoint) and enterprise data sources. • Develop custom Copilot plugins and extensions to enhance agent capabilities, including natural language understanding, task automation, and contextual reasoning. • Implement agent safety and transparency features per established governance frameworks and compliance standards. • Partner with product owners and business stakeholders to translate business requirements into agent configurations and workflows. • Manage solution packaging, environment promotion (Dev → Test → Prod), and CI/CD pipelines via Azure DevOps. • Own the delivery lifecycle for agentic and AI-powered solutions — including new feature development, enhancements, defect resolution, upgrades, and production support across Copilot Studio, Power Platform, and Dynamics 365. • Monitor agent performance and optimize using feedback loops, telemetry, and Power BI dashboards.

• Design, build, and scale the core platform infrastructure handling high-volume web traffic at the CDN and edge computing layer • Take an active technical leadership role in architecture design, technical planning, and authoring design documents with a long-term view • Plan and execute gradual, methodical rollouts: define target audiences, KPIs, and success metrics before shipping significant changes • Debug complex front-end behavior caused by backend platform changes across all browsers, devices, and geographies • Collaborate with the data engineering team to ensure testability at scale and build the right measurement and observability framework • Solve high-complexity technical problems with significant scope and ambiguity, where few established playbooks exist • Mentor engineers and serve as a point of technical escalation for complex platform challenges • Stay current with emerging web performance technologies, edge computing patterns, and browser optimization techniques • Embrace and integrate AI coding tools into your engineering workflow to accelerate delivery and improve code quality

Job Description BAE Systems is seeking a Software Engineer to support our government customer. The selected applicants will join the team as we seek to deliver world-class capabilities for our client and their associated contractors, driving productivity and innovation. This team supports system architecture and design, infrastructure and OS level support, commercial tool integration, and application support. This position will include the following duties and responsibilities: Responsibilities include: - Monitors application status; support application event triage, monitoring, tracking, and correlation and event characterization and escalation, work with vendors as needed for event resolution. Follows up with customer to ensure issue has been resolved. - Software engineer with strong Linux and Windows Server knowledge to troubleshoot, patch, and maintain complex applications and services. - Experience building instances using Amazon Web Services (AWS). - Possesses knowledge of Python, JavaScript, and other scripting languages. -The software engineer should be familiar with Salt Configuration to maintain, deploy, and troubleshoot software deployed on various environments. - Assisting with the configuration and operation of business systems (mainframe, mini and client/server-based). - Deploying and integrating software products and to ensure compatibility with associated platforms. - The candidate must have strong communication skills to communicate with Software Developers to ensure requirements are met and issues are resolved in a timely manner. - Monitor systems and logs to resolve any issues and errors that may arise. - Must be familiar with Oracle, Mongo, PostgreSQL, and MySQL databases. - The individual must have the ability to write SOPs to ensure continuity of operations and to share with other members of the team. - The individual will create and manage security groups for various projects and systems. - Must be able to work after normal core working hours to deploy new software and conduct maintenance of critical systems. - Be familiar with security protocols and requirements to address questions and concerns regarding security testing for various software and servers. Required Education, Experience, & Skills - TS/SCI w/CI poly required - Some Cloud Formation experience - RDS experience - DoD 8570 compliant IAT Level II Certificate or equivalent - Experience with Linux - Ability to work weekend/evening hours if needed to support mission requirements (e.g. scheduled deployments, break fixes) Preferred Education, Experience, & Skills - Experience with Elasticsearch - Familiarity with integrated AI/ML solutions Pay Information Full-Time Salary Range: $126610 - $215270 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. About BAE Systems Intelligence & Security BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference. Intelligence & Security (I&S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do-from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

• Reference Architectures: Design, build, and validate reference architectures that show how MinIO deploys in real AI and analytics environments, including configurations aligned to enterprise and partner architecture standards. Document them so a customer can reproduce the result. • Benchmarking and Performance Validation: Plan, run, and document benchmarks across AIStor and MemKV. Report results with full configuration and workload context, for example aggregate throughput in a stated cluster configuration or microsecond retrieval of cached context, so every number is defensible and repeatable. • Demos and Proofs of Concept: Build reproducible demos and proof-of-concept environments that demonstrate MinIO across the AI pipeline, from ingest and training data lakes to large-context serving and KV cache offload. Make complex capabilities easy to see and easy to rerun. • Integration Validation: Validate and document MinIO's integrations with the modern AI infrastructure stack, including inference frameworks, GPU-accelerated platforms, networking, and partner hardware. Surface what works, what the requirements are, and what the measured impact is. • Technical Content Creation: Produce technical blogs, deployment guides, solution briefs, and hands-on labs aimed at an architect and platform-engineering audience, written in a precise, peer-to-peer register with claims qualified by configuration and workload. • Partner Co-Engineering Support: Work hands-on with partner technical teams on joint validation, lab benchmarks, and co-engineered solutions, supporting the co-engineered, not co-marketed standard with real, reproducible results. • Field and SE Enablement: Build and deliver deep technical enablement for sales engineers and account teams, including technical briefings, demo assets, and deployment guidance, and provide hands-on support in complex evaluations and proofs of concept. • Customer-Facing Technical Engagement: Present architectures, benchmarks, and demos directly to technical buyers and architects, and bring field and customer feedback back into content, demos, and product input.