• Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. • Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). • Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. • Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. • Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. • Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.

• O Senior Microsoft AI Developer é responsável por projetar, desenvolver e evoluir soluções avançadas baseadas em IA, utilizando tecnologias Microsoft e Azure. • Essa função exige profundo conhecimento técnico, forte senso de ownership e capacidade de entregar soluções escaláveis de Generative AI em ambientes corporativos complexos. • O profissional atuará em estreita colaboração com times multifuncionais para projetar e implementar sistemas avançados de IA, incluindo frameworks multiagentes e soluções de automação inteligente, viabilizando transformação e inovação de negócios em escala. • Design, desenvolvimento e implementação de soluções de software baseadas em IA, utilizando Azure AI Foundry, Azure OpenAI e tecnologias Microsoft relacionadas. • Arquitetar e construir sistemas multiagentes e frameworks avançados de execução de tarefas com IA. • Projetar e integrar Graph connectors, plugins de API e Azure AI Search para suportar soluções corporativas inteligentes. • Traduzir requisitos complexos de negócio em arquiteturas técnicas escaláveis e seguras. • Atuar como responsável técnico pelas soluções, garantindo qualidade, performance, segurança e manutenibilidade. • Colaborar com times multidisciplinares (engenharia, produto, UX e stakeholders de negócio) para entregar resultados alinhados aos objetivos estratégicos. • Estabelecer e garantir boas práticas de engenharia, incluindo code reviews, documentação, estratégias de teste e padrões técnicos. • Investigar e resolver problemas complexos ao longo de todo o ciclo de vida do desenvolvimento de software. • Comunicar-se de forma clara com stakeholders técnicos e não técnicos, influenciando decisões e promovendo alinhamento. • Mentorar e apoiar outros engenheiros, contribuindo para a evolução técnica do time e melhoria contínua.

Role Description MPF Federal is seeking a hands-on, Lead AI Systems Architect to design and build sophisticated AI applications from the ground up. This role is for a builder who thrives in ambiguity, takes ownership of architectural decisions, and is eager to deliver high-impact products at speed within government and heavily regulated environments. In this role you will own the end-to-end development of AI-enabled applications that bridge the gaps between complex data ingestion, machine learning models, and advanced front-end visualizations. - Architect & Build from Scratch: Lead the design and development of AI-driven tools optimized for deployment across AWS, Azure, and Google Cloud. - Design, create and deploy applications for internal and external use. - Execute in Multi-Cloud Governance Structures: Build products that ensure operational discipline and robust governance across diverse cloud ecosystems. - Create Advanced Full-Stack Orchestration: Develop end-to-end applications where the frontend serves as a real-time Decision Support Interface and the backend functions as a high-concurrency engine. - Exploit Real-Time Data & API Architecture: Design asynchronous APIs capable of handling live, multi-modal data ingestion from diverse sources. - Collaborate across all business departments. - Employ Stateful System Design: Architect complex system states where variables are collected, analyzed, and orchestrated in real-time to drive predictive outcomes. - Deliver Cloud-Agnostic Deployment: Ensure seamless application performance and portability across a multi-cloud landscape. Qualifications - 10+ years in full-stack development, with at least 4 years specifically focused on AI/ML integration. - Proven success building and deploying applications in secure, multi-tenant cloud environments. - Experience designing unified data stacks that synchronize real-world human interactions with virtual system states in real-time. - A track record of developing autonomous AI agents using frameworks such as LangGraph, AutoGen, or CrewAI to orchestrate complex, multi-step workflows. - Experience building pipelines for diverse data types (text, telemetry, and unstructured audio) to drive real-time system updates. - Proficiency in designing agent-based models and utilizing Reinforcement Learning to simulate complex decision-making cycles. - Deep LLM & Vector expertise, leveraging LLMs for dynamic content generation and utilizing vector databases to manage contextual memory. - Demonstrated ability to operate as a self-starter, managing technical debt and architectural trade-offs independently. - Experience navigating the technical and security constraints of government or heavily regulated industries. - U.S. Citizenship Required. Benefits - Build real AI products with real-world federal impact. - High trust, low bureaucracy; engineers are empowered to build. - Opportunity to shape greenfield systems and MVPs, not just maintain legacy tools. - Work alongside a team that values execution, curiosity, and ownership. - Competitive compensation package including a competitive salary, medical benefits, PTO, holiday pay and more. Company Description MPF Federal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status or on the basis of disability.

Note from FlexJobs Staff: The employer states this position is available from anywhere in the world. AI Quality Control Specialist - German Language Department:Quality Assurance Location:Germany About the Role: TrustScale is building scalable, high-quality human-in-the-loop systems to power AI. We are looking for an AI Quality Control Specialist - German Language Specialist who can analyze, validate, and challenge AI-generated outputs with precision and consistency. This is not a proofreading role. You will act as a quality gatekeeper, ensuring outputs meet standards for accuracy, utility, and linguistic quality across large-scale workflows. What You Will Do: - Evaluate AI-generated content in German across multiple task types (annotation, review, validation). - Apply structured quality frameworks to assess: - Accuracy and factual correctness. - Utility (alignment with user intent). - Language quality (fluency, tone, clarity). - Train vendors - Participate Clients Calls Identify and flag: - Hallucinations and misinformation. - Logical inconsistencies. - Cultural or linguistic mismatches. - Provide clear, structured feedback to improve upstream quality. - Detect patterns of errors across batches and contribute to quality insights. - Support calibration efforts to ensure consistent scoring across teams. - Contribute to guideline refinement and evaluation standards. Who You Are: - Professional proficiency in German and strong command of English are required. - Highly analytical with strong critical thinking skills. - Comfortable working with ambiguous and evolving guidelines. - Detail-oriented with the ability to maintain consistency at scale. - Clear communicator, able to justify decisions and provide actionable feedback. - Naturally skepticalable to question outputs and validate information. Preferred Background: - Journalism, editorial, or investigative research. - Linguistics, translation, or localization QA. - Content moderation / Trust & Safety. - Experience in AI data annotation, evaluation, or QA. What Success Looks Like: - High consistency in quality scoring across tasks. - Strong alignment with QA benchmarks. - Ability to detect non-obvious quality issues. - Feedback that improves annotator performance and overall output quality. - Contribution to a scalable, predictable quality system. Why TrustScale: At TrustScale, we operate AI talent as a supply chainstructured, measurable, and optimized. You will be part of a system where quality is not subjective, but defined, measured, and continuously improved.