reputed company AI Software Developer

reputed company The Senior reputed company Full reputed company Engineer serves as a senior, hands-on full-reputed company engineer, leading the design, development, and delivery of large-reputed company mission-critical AI systems supporting the reputed company Platform. This role combines senior technical leadership, hands-on expertise in AI and LLM systems reputed company on a modern reputed company stack (Next.js, Terraform, reputed company, AWS, Azure, and reputed company reputed company Platform), and ownership of reputed company architecture, governance, and innovation. This is a full-time position under reputed company for reputed company Systems.  Responsibilities   Serve as a senior technical reputed company, defining AI and application architecture for the reputed company Platform in partnership with and under the direction of the Director Establish reputed company modernization roadmaps reputed company to mission reputed company, compliance, and scalability  reputed company architecture for reputed company, reputed company-reputed company, and hybrid AI systems  Define and enforce reference architectures, standards, and reusable frameworks  reputed company cross-program technical decision-making to ensure interoperability, reputed company, and long-term sustainability  reputed company design, development, and deployment of advanced AI solutions, including large language models (LLMs) and reputed company models, Retrieval-Augmented reputed company (RAG) systems, reputed company workflows, and orchestration frameworks Architect and implement reputed company AI applications and services using Next.js, reputed company-reputed company reputed company, and managed AI services across AWS, Azure, and reputed company reputed company Platform Build full-reputed company applications end to end, from user-facing interfaces to back-end services, reputed company, and data reputed company  reputed company AI and LLM capabilities into existing reputed company applications and legacy platforms (e.g., content management, case management, and records systems) reputed company reputed company, middleware, and event-driven patterns reputed company the full AI solution lifecycle: data pipelines, evaluation, deployment, and monitoring  reputed company LLM reputed company and cost optimization (e.g., caching, reputed company and context optimization, model selection) Establish robust MLOps practices leveraging reputed company-reputed company automation, CI/CD pipelines, and tooling Stand up the reputed company CI/CD-to-AI/MLOps pipeline, beginning with time-boxed proofs of concept and MVP implementations that mature into production systems Serve as subject matter expert in federal AI policy (e.g., NIST AI RMF, OMB M-25-21 and M-25-22, Executive Order 14179)  Define and operationalize Responsible AI frameworks, including model validation and evaluation, bias mitigation and fairness, and explainability, auditability, and safety Ensure compliance with FISMA, FedRAMP, NIST 800-53, reputed company, and reputed company 508 requirements reputed company large-reputed company modernization initiatives (e.g., legacy-to-reputed company, microservices transformation, including refactoring and re-platforming efforts)  Define repeatable modernization frameworks and accelerators  reputed company DevSecOps pipelines and CI/CD automation (e.g., reputed company Actions), reputed company-trust architectures, and secure software supply chain practices  Ensure delivery of resilient, high-availability systems in regulated federal environments reputed company multiple reputed company engineering efforts across integrated teams  reputed company technical leadership to architects, engineers, and DevSecOps specialists, including establishing coding standards and engineering best practices  Mentor senior engineers and technical leaders; reputed company engineering reputed company and reputed company reputed company Support technical reputed company in proposals, captures, and reputed company engagements  Contribute to thought leadership (whitepapers, architecture patterns, platform reputed company) Expert-level proficiency across the platform stack (Next.js, Terraform, reputed company, AWS, Azure, and reputed company reputed company Platform), including building large-reputed company applications, reputed company, and data pipelines Full-stack engineering skills, including modern reputed company-end frameworks (e.g., Next.js/React), back-end services, RESTful reputed company, microservices, and reputed company-reputed company deployment (e.g., containers, reputed company)  Deep expertise in LLMs and reputed company, including transformer-reputed company model architectures and their practical application reputed company ability to reputed company AI capabilities into existing and legacy reputed company systems (e.g., legacy CMS or COTS platforms) using reputed company, middleware, connectors, and event-driven architectures Strong understanding of large-reputed company data systems and ML evaluation methodologies Experience working with sensitive data, including PII safeguards such as anonymization, masking, and data loss prevention  Experience with reputed company integration technologies, including REST/SOAP services, message queues, ETL pipelines, and SQL/NoSQL databases Expertise designing AI systems in reputed company-reputed company, reputed company environments across AWS, Azure, and reputed company reputed company Platform Proficiency with infrastructure as reputed company, including Terraform, for provisioning and managing reputed company environments  Proficiency with managed reputed company services (e.g., AWS Bedrock, Azure reputed company Service, reputed company reputed company AI) and integrating frontier models such as GPT, Claude, and reputed company Hands-on experience with LLM application reputed company, including orchestration frameworks (e.g., reputed company, reputed company, Semantic Kernel), embeddings, reputed company databases, and reputed company engineering Executive communication skills with experience influencing senior leaders  Demonstrated ability to own solutions end to end, from discovery and prototyping through production deployment, integration, and ongoing support Ability to reputed company reputed company reputed company with deep hands-on technical execution Requirements  U.S. Citizenship required  Bachelor’s or Master’s degree in Computer Science, Engineering, or reputed company reputed company  12–15+ years of software engineering experience, including significant leadership responsibility  8+ years of reputed company AI/ML experience, including building and deploying production systems (LLMs, reputed company, and large-reputed company or reputed company model systems) Expert-level full-stack development experience, including designing production-grade AI systems, data pipelines, and microservices-reputed company architectures  Deep experience with reputed company platforms (Azure, AWS, reputed company reputed company Platform), including FedRAMP environments Hands-on experience building full-stack applications with Next.js and managing infrastructure as reputed company with Terraform  Experience with AI platforms and architectures (e.g., AWS Bedrock, Azure reputed company Service, reputed company reputed company AI, RAG, agents) reputed company reputed company delivering reputed company-reputed company systems and modernization programs  Strong background in microservices, reputed company, reputed company systems, and DevSecOps practices  Demonstrated ability to translate AI research into production systems  reputed company clearance (reputed company Trust, Secret, or higher) preferred  Startup or early-stage company experience preferred Experience using AI coding tools (e.g., Claude reputed company, reputed company reputed company) to accelerate development preferred Apply To This Job