Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: AI Systems, Artificial Intelligence (AI), Data Science, Machine Learning (ML), Python (Programming Language)Certifications: NoneExperience: 5 + years of related experienceUS Citizenship Required: No Job Description: As an Agentic AI Engineer, you will be responsible for designing, developing and deploying AI models, algorithms and systems to enhance productivity, decision-making and automation within the organization. If you have one+ years of experience developing products or functional prototypes using RAG and agentic AI technologies, we WANT YOU! MEANINGFUL WORK AND PERSONAL IMPACT As an Agentic AI Engineer, the work you’ll do at GDIT will be impactful to the mission. - Architect and implement production-grade multi-agent AI solutions with modern orchestration frameworks, enabling reliable, transparent, and secure agentic workflows - Build and maintain end-to-end agentic AI pipelines, from data ingestion and embedding to deployment and continuous evaluation, optimized for reusability and scalability - Develop, test, and deploy internal AI applications that enhances people-powered, AI-enabled productivity - Provide unified observability with logging, metrics, and alerts and analyze agent runtime behavior to tune latency, accuracy, and cost in production - Integrate agentic AI services with existing enterprise systems and uphold AIOps practices for consistent deployment and scaling - Collaborate with cross-functional teams including data scientists, software engineers, and product / service owners to align AI projects with business goals - Must stay updated on emerging AI related technologies and recommend improvements to existing AI systems WHAT YOU’LL NEED TO SUCCEED Bring your expertise and drive for innovation to GDIT. The Agentic AI Engineer must have: - Education: Bachelor’s Degree in Computer Science, Computer Engineering, Data Science or a related field - Experience: 5+ years of experience in AI and machine learning, including hands-on experience with designing, developing, and deploying AI models and systems. - 1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies. - Role requirements: - Proven track record of delivering end-to-end AI projects and successfully integrating AI solutions into business processes. - Proficiency in programming languages such as Python, R, or Java, and deep understanding of machine learning frameworks like TensorFlow or PyTorch. - Strong hands-on experience with MCP, LangGraph, LlamaIndex, or similar agentic frameworks. - Deep understanding of prompt or context engineering, tool definition, and state management for agents. - Experience with cloud computing platforms, such as Azure (Preferred), OCI, AWS, or Google Cloud, including AI services like Azure AI Foundry, Bedrock, or Vertex AI. - Strong background in working with large datasets and performing data preprocessing, feature engineering, and model evaluation. - Preferred Skills and Abilities: Masters degree. Advanced coursework or a Certification in AI, Machine Learning or related areas desirable - Location: Remote - US Persons required GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. - Growth: AI-powered career tool that identifies career steps and learning opportunities - Support: An internal mobility team focused on helping you achieve your career goals - Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off - Flexibility: Full-flex work week to own your priorities at work and at home - Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. #GDITPriority #gditAIJOBS The likely salary range for this position is $147,050 - $198,950. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

• Design and develop NLP applications to power guest–agent interactions. • Build effective text representations to transform natural language into useful features. • Find, implement, and optimize algorithms and tools for NLP tasks. • Train, evaluate, and refine models through statistical analysis and experimentation. • Collaborate with engineers and product teams to integrate AI features into scalable production systems. • Collect and organize large datasets to create event-driven actions and improve conversation insights. • Contribute to enhancing reporting systems with AI-driven analytics and automation. • Stay up-to-date with the rapidly evolving fields of LLMs and machine learning.

• Help build a production-grade AI agent platform designed to integrate with enterprise engineering tools and processes in the energy industry • Design and implement AI agents powered by LLMs that interact with engineering tools, APIs, and internal systems • Build multi-agent workflows that coordinate tasks across different systems, including prompt orchestration, tool calling, task routing, and agent collaboration • Develop integrations with multiple engineering platforms, APIs, and services to enable agents to execute workflows across the engineering ecosystem • Build backend services using Python (e.g., FastAPI) that support agent execution, orchestration logic, and system integration • Design scalable LLM application components including prompt pipelines, agent control logic, response validation, and interaction flows • Enable agents to retrieve and process information from structured and unstructured data sources across enterprise systems • Develop APIs and connectors allowing agents to interact with internal tools, services, and engineering platforms • Package services using Docker and support deployment pipelines within a cloud-based infrastructure • Work closely with infrastructure engineers, frontend developers, cloud architects, DevOps engineers, and product stakeholders to iteratively improve the platform.

Alkami is the digital sales and service platform provider for U.S. banks and credit unions. Our unified Platform integrates onboarding, digital banking, and data and marketing—each solution can stand alone, but together they deliver more—to help institutions onboard, engage, and grow relationships. As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment with technology that drives action. Founded in 2009, we continue to be recognized for our intentional culture and tremendous growth (Best Place to Work in Fintech; Best & Brightest to Work For Nationally; and Comparably’s Best Company Culture, Best Career Growth, Best Engineering Team, and Best Places to Work in Dallas, among others). We’re building a culture where each Alkamist can perform to their highest potential, and we’re always on the lookout for the best and brightest minds. If you’re ready to experience the power of alchemy - transforming the ordinary into the extraordinary - come join one of the fastest growing SaaS companies in the U.S. As a remote-first company, most of our positions can be remote in the US, except for key roles, which will be indicated in the Job Title. Follow us on Glassdoor and LinkedIn! The Staff AI Engineer will lead the adoption of AI-assisted development, agent-based automation, and intelligent engineering workflows to accelerate developer productivity, improve software quality, and modernize legacy systems.The ideal candidate has strong hands-on experience in cloud-native systems, enterprise architecture, and multi-stack engineering, while actively leveraging GenAI coding assistants and agentic orchestration frameworks to transform the way software is built, tested, and operated. Essential Duties & Responsibilities ● Drive the adoption of AI-assisted software development practices across the SDLC. ● Implement context-driven AI code generation using tools such as GitHub Copilot,Claude Code,emerging enterprise code assistants. ● Design frameworks for AI-powered developer productivity, including intelligent code generation, documentation synthesis, and refactoring. ● Architect and implement agentic workflows to automate engineering processes such as Bug detection and fixing, Code quality validation, Test generation,Release readiness ● Build agent-based orchestration pipelines using tools such as n8n, OpenClaw, emerging agent orchestration platforms. ● Implement engineering automation using multi-agent systems, A2A protocols, and Model Context Protocol (MCP). ● Design and deploy AI-powered development lifecycle solutions including AI-assisted code reviews,automated testing and quality engineering,agent-based CI/CD augmentation,AI-driven root cause analysis ● Implement Agentic QA and bug remediation systems that proactively detect and resolve defects. ● Lead initiatives to modernize legacy applications using AI-assisted refactoring and migration. ● Apply AI models to codebase understanding, architecture reconstruction,automated migration strategies. ● Design scalable cloud-native architectures across major cloud platforms. ● Apply Infrastructure as Code (IaC) practices using modern tooling. ● Integrate AI engineering platforms with enterprise systems and developer platforms. ● Implement telemetry-driven development insights using observability platforms. ● Leverage AI for operational insights,anomaly detection,performance optimization. ● Ensure AI engineering solutions follow secure development practices. ● Apply principles of Responsible AI,AI ethics,model governance,data protection ● Establish guardrails for enterprise AI-assisted development. Required ● Typically requires 12+ years of experience in software engineering, distributed systems, cloud-native development, or AI-augmented engineering transformation ● Hands-on experience with Generative AI development tools ● Experience designing large-scale distributed systems. ● Experience implementing AI-powered SDLC platforms. ● Hands-on work with agent orchestration frameworks. ● Experience with AI-driven legacy modernization. ● Deep understanding of LLM-based developer tools. ● Experience across diverse technology ecosystems including Python,Java,.NET, JavaScript / Vue.js ● Experience across Cloud computing platforms (AWS / Azure / GCP),Infrastructure as Code,Platform engineering,Developer platforms,API-driven architectures ● Hands-on experience with GenAI code assistants (Copilot, Cursor, Claude),Agentic workflow systems,Multi agent architectures,Model Context Protocol (MCP) ● Experience contributing to AI-driven SDLC transformation initiatives, including adoption of AI coding assistants, context-aware code generation, automated testing, and agentic workflow automation across the software development lifecycle with hands-on coding. ● Experience applying AI to improve developer productivity, software quality, legacy modernization, bug remediation, and engineering automation. ● Exposure to implementing AI-enabled engineering practices across one or more stages of the SDLC, including design, development, testing, deployment, and operations. ● Proficient in API fundamentals and best practices, REST API architecture ● In-depth understanding of the entire software development process (design, development and deployment) ● Advanced experience developing and deploying applications for Cloud Native Infrastructure, using CI/CD tools following best practices ● Experience building applications in microservice architecture with API-first mindset. ● Collaborates effectively within the agile framework with a problem-solving attitude and willing to take a variety of approaches ● Excellent analytical and time management skills, with a proven ability to deliver cross-organization impact independently ● Proven ability to work cross-functionally, experience with planning and leading complicated technical projects that work with several teams within the company. ● Excellent leadership, written and verbal communication skills Preferred ● Master’s degree in engineering, technology or related field ● Experience working with SaaS offerings in the technology and financial industries ● Experience building and deploying applications on Amazon Web Services ● Experience and familiarity with mobile application development. The salary range for this position is: TBD Cool Things to Know Not Just Any Company: Alkami has an awesome diverse and inclusive environment. We have a FUN culture and offer great benefits, including remote-first environment, unlimited paid time off, 401(k) with employer match, and more. Work Authorization: We cannot offer employment sponsorship at this time. Candidates must be eligible to work in the US for full-time employment. Recruiters: We are not looking for outside recruiting firms to help us in this search. Thank you for understanding. Pay Transparency: As of January 1, 2023, new states and locales have enacted pay equity laws that require more pay transparency by employers in the following states: California, Colorado (effective January 1, 2021), Connecticut, Maryland, Nevada, New Jersey, New York, Ohio, Rhode Island and Washington. The Important Stuff Alkami Technology is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Alkami is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Alkami are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Alkami will not tolerate discrimination or harassment based on any of these characteristics. Alkami encourages applicants of all ages. #LI-REMOTE