Lead Software Engineer

FM Talent Source is an enterprise that provides business and workforce solutions to help organizations nationwide overcome business challenges. They are seeking a Lead AI Software Engineer to design, develop, and deploy AI-enabled full-stack web applications on AWS, working collaboratively with cross-functional teams to deliver innovative solutions. The role emphasizes leadership, modern software development practices, and the integration of advanced analytics and user-centric design.

Responsibilities:

• Lead the architecture, design, and implementation of AI-enabled full-stack web applications deployed on AWS
• Develop and maintain end-to-end solutions spanning frontend (ReactJS), backend services (Java/Python), APIs, workflow orchestration, and relational database layers
• Design and implement accessible, user-friendly web interfaces, ensuring compliance with Section 508 and usability standards
• Architect and manage RDBMS-based data models (e.g., PostgreSQL, MySQL, Aurora) supporting transactional and analytical use cases
• Build and integrate workflow and process automation capabilities to support business and mission operations
• Develop data visualization and analytics features to enable decision-making through dashboards, charts, and interactive UI components
• Lead implementation of AI-enabled features such as intelligent search, chatbots, document processing, or agent-driven workflows
• Utilize Generative AI–assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, debugging, testing, refactoring, and documentation while ensuring code quality and security
• Operate within a SAFe (Scaled Agile Framework) environment, contributing to agile release trains, sprint planning, backlog refinement, and cross-team coordination
• Implement and enforce DevSecOps practices, leveraging application security tools (e.g., SAST, DAST, SCA) to identify, analyze, and remediate software vulnerabilities throughout the development lifecycle
• Design and maintain CI/CD pipelines with integrated security scanning, automated testing, and compliance checks
• Mentor engineering teams, conduct code reviews, and establish best practices in software design, security, and cloud-native development
• Collaborate with cross-functional teams to prototype, iterate, and deliver scalable and secure solutions aligned to mission requirements

Requirements:

• Must be able to OBTAIN and MAINTAIN a Federal or DoD 'PUBLIC TRUST'; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or Additional FOUR (4) years equivalent experience in Lieu of degree
• Minimum SIX (6) years of professional experience in software engineering, including experience in a senior or lead role
• Expert-level proficiency in Java or Python for backend development
• Strong hands-on experience with ReactJS for modern frontend application development
• Demonstrated experience building and deploying full-stack web applications in AWS cloud environments
• Experience implementing solutions involving workflow orchestration, relational databases (RDBMS), and data visualization
• Experience designing and developing accessible web user interfaces, including familiarity with accessibility standards and testing tools
• Experience designing and integrating RESTful APIs, microservices architectures, and distributed systems
• Hands-on experience with Generative AI–aided coding and software development tools to improve productivity, code quality, and delivery efficiency
• Experience working within a SAFe (Scaled Agile Framework) environment
• Experience using application security and DevSecOps tools to identify, analyze, and remediate vulnerabilities across the software development lifecycle (e.g., SAST, DAST, SCA, container and dependency scanning)
• Experience implementing CI/CD pipelines, automated testing, version control, and secure coding practices
• Strong leadership, communication, and collaboration skills, with the ability to lead technical teams and engage stakeholders effectively
• Experience developing AI/ML applications, such as Retrieval-Augmented Generation (RAG), chatbots, semantic search, or agentic workflows
• Familiarity with AI frameworks such as LangChain, Haystack, Semantic Kernel, or similar
• Experience with AWS services such as Lambda, ECS/Fargate, API Gateway, Step Functions, S3, and Glue
• Experience with modern data architectures, including lakehouse, federated query engines, or analytics platforms
• Experience with data visualization tools and libraries (e.g., D3.js, Plotly, Tableau, QuickSight)
• Familiarity with Infrastructure as Code (Terraform, AWS CDK, CloudFormation)
• Knowledge of federal security and compliance standards (FISMA, FedRAMP, NIST 800-53)
• SAFe certification or additional Agile certifications
• Experience mentoring teams and driving adoption of secure, AI-enabled, cloud-native development practices