Senior AI/ML Application Developer

Work: Defence Senior AI/ML Application Developer to support the Defense Agencies Initiative (DAI) program This is a hands-on technical position responsible for designing, developing, and delivering artificial intelligence and machine learning capabilities directly within the Oracle E-Business Suite 12.2.x financial management environment hosted on Oracle Cloud Infrastructure (OCI). Summary: • Client Agency is Defense Logistics Agency • Design and deliver the AI/ML Functional and Technical Use Cases document, covering OCI-native AI service implementation for financial reporting automation, user experience optimization, and operational efficiency gains across the DAI ERP environment. • Develop the AI/ML and DevSecOps Transition Roadmap laying out the phased approach for embedding AI capabilities into the DAI program and transitioning Agile processes from contractor to government ownership. • Implement production-grade AI/ML capabilities using OCI-native services including OCI Data Science, OCI Language, and OCI Vision, with consideration for AWS GovCloud AI services where applicable per government direction • Build and integrate REST API connections between AI/ML models and Oracle EBS business processes, enabling automated decision support within financial workflows without requiring manual data extraction • Apply natural language processing techniques to financial document processing, including audit report analysis, accounting narrative classification, and automated ATM documentation generation from source content • Design and apply cognitive science approaches to improve AI readiness and human decision-making support within the DAI user community, focusing on how financial professionals interact with AI-augmented ERP processes. • Lead research and development efforts in training design, competency modeling, and cognitive metrics as they apply to AI adoption within a federal financial management environment. • Develop cognitive performance metrics that measure how effectively DAI users adopt AI-assisted workflows, providing quantifiable evidence of AI value delivery for program reporting. • Apply knowledge discovery and data mining techniques to unstructured DAI operational data, identifying patterns that inform both audit remediation strategies and future automation priorities. • Participate fully in Program Increment planning, iteration planning, daily standups, and iteration reviews as an active member of the Agile Release Train. • Author well-formed user stories with precise acceptance criteria for AI/ML features, working with the Product Owner to prioritize backlog items against program objectives and technical dependencies. • Deliver working AI/ML capabilities within two-week iteration cycles, demonstrating functional outputs at each iteration review rather than theoretical progress. • Identify and remove technical impediments to AI adoption across the program, escalating architecture or infrastructure blockers to the Software Systems Engineer Lead for resolution • Work directly with the Software Systems Engineer Lead (L1) to align AI/ML architecture decisions with the broader DAI systems architecture and OCI infrastructure design • Contribute technical content to the Final Transition Plan and Knowledge Transfer Materials (Deliverables 4-11 and 4-12), ensuring incoming personnel can sustain AI/ML capabilities after the contract period • Support the DevSecOps Engineer and DevOps Engineers in integrating AI model deployment into the CI/CD pipeline on DLA-approved DevSecOps Platforms. • Five (5) years minimum experience in AI/ML development applied to enterprise systems (PWS minimum). • Demonstrated experience with artificial intelligence, machine learning, natural language processing, knowledge discovery, and data mining applied to real operational datasets. • Proficiency in Java, C/C++, or Python with production-level code in at least one of these languages.