• Professional with expertise in analysis of public tenders and strategic pricing, responsible for structuring high‑value technical and commercial proposals • Present effective solutions to internal and external clients and interact with multiple hierarchical levels

• You will design creative and efficient service desk operating models for managed services tenders, inspiring customers and colleagues alike while balancing risk • You will work independently and follow defined processes to create coherent end-to-end service desk solution designs, including tooling, processes, SLAs/OLAs, shift models, and knowledge management • You will impress customers in presentations and contract negotiations with your expertise and professional presence • You will maintain close contact with your team and customers to ensure solution consistency, operational feasibility, and service excellence • You will collaborate closely with sales teams, delivery units, partners, and technology experts to design service desk solutions that contribute to overall commercial and operational success

• Design and evolve cloud-native architectures leveraging Microsoft Azure (e.g., App Services, Azure Container apps, Azure Service Bus, Event Hubs, Azure SQL). • Define and implement predictable, resource-oriented REST APIs with strong focus on performance, security, and usability. • Take a microservice and domain-driven design (DDD) approach to decompose large business domains into well-defined services. • Apply modern architectural patterns (e.g., event-driven, CQRS, serverless) for scalable and maintainable solutions. • Partner with cross-functional teams to drive API-first development and DevOps best practices. • Prepare and present architecture artifacts such as sequence diagrams, domain models, data flow diagrams, and cloud architecture blueprints. • Provide technical leadership on cloud modernization, migration legacy systems to modern microservices strategies, and platform performance. • Incorporate Security and Compliance best practices including identity Management, access control, and encryption. • Collaborate with product and data teams to integrate AI and Generative AI capabilities (e.g., Azure OpenAI, Cognitive Services, Copilot extensibility) into core products. • Lead POCs exploring AI-driven automation, API innovation, performance tuning, and cloud modernization strategies. • Mentor developers and guide teams on cloud-native development, observability, and resiliency principles.

Senior Enterprise Architect (0038) OCT Consulting is a business management and technology consulting firm that supports Federal Government clients. We provide consulting services in Strategy, Process Improvement, Change Management, Program and Project Management, Acquisition and Procurement, Data Science, and Information Technology. Responsibilities and Duties OCT currently has an opening for a Senior Enterprise Architect to work with our DoD client. The Senior Enterprise Architect provides subject-matter expertise in system architectural development, engineering, and integration to support R&D and Production systems for our client. The primary objective is to deliver enterprise-level architecture and governance integration, ensuring the platform evolves into a scalable, secure, and sustainable environment for both AI research and production. This person will serve as the lead subject-matter expert responsible for the enterprise-level architecture of the government client’s AI platform. Primary duties include designing architectural blueprints, developing scalable data and MLOps patterns, and ensuring the platform’s architecture aligns with all enterprise governance, Responsible AI (RAI), and IL5 security requirements. The contractor serves as the primary technical authority for the platform’s design and strategic evolution. As a senior contributor in the firm, this individual will also be expected to support business development and firm activities, as needed, at the direction of contract and corporate leadership. Day-to-day responsibilities include: Architectural Design and Engineering ● Architecture Development: Design, document, and maintain reusable architecture and clear patterns for generative and traditional AI workloads. ● Prototyping and Production: Support rapid prototyping and synthetic-data experimentation while establishing clear, standardized pathways to transition solutions into production. ● Strategic Coherence: Provide analysis and recommendations to ensure the MAPS-RE functions as a unified environment, focusing on reducing siloed development and accelerating capability transitions. Governance, Security, and Compliance ● Enterprise Integration: Ensure all platform architecture aligns with enterprise data governance policies, Responsible AI (RAI) lifecycle controls, and IL5 security requirements. ● Sensitive Data Management: Define and implement governance controls specifically for the use of sensitive data within the research enclave. ● Policy Alignment: Continuously review and adjust architecture and data patterns to remain compliant with overarching enterprise policy and compliance frameworks. Development Guardrails and Standardization ● Citizen Development Guidance: Define and document architectural guardrails to enable "citizen development" and ensure user-created solutions comply with enterprise standards without introducing security risks. ● Intake Evaluation: Implement standardized intake and evaluation criteria for new capabilities to reduce duplication of effort across mission components. MLOps and Data Engineering ● Operationalization: Support the institutionalization of Machine Learning Operations (MLOps) and advanced analytics. ● Data Pipeline Patterns: Develop scalable data engineering patterns for the ingestion, processing, and management of structured, semi-structured, and unstructured data.