AI ML Engineer III
Occupations:
Computer Systems Engineers/ArchitectsComputer Systems AnalystsSoftware DevelopersComputer and Information Research ScientistsData ScientistsIndustries:
Business Schools and Computer and Management TrainingComputing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesManagement, Scientific, and Technical Consulting ServicesComputer Systems Design and Related ServicesSpecial Food ServicesAbout CompanyPapigen is a fast-growing global technology services company, delivering innovative digital solutions through deep industry experience and cutting-edge expertise. We specialize in technology transformation, enterprise modernization, and emerging technologies including Cloud, Data, AI, and Digital Platforms. Our client-centric approach combines consulting excellence with strong engineering execution to help organizations achieve measurable business outcomes.Website: https://papigen.com/Job Title: AI/ML Engineer III (GenAI Agentic Consultant)Job Location: Onsite – Washington, DC.Role SummaryThis senior role provides architectural leadership for enterprise-grade GenAI and agentic systems. The consultant bridges business objectives, AI capabilities, and enterprise platforms to ensure responsible, secure, and scalable AI adoption.Scope Of Work & Key ResponsibilitiesArchitect and implement single-agent and multi-agent GenAI solutions.Serve as the architectural authority ensuring compliance with enterprise standards.Define agent orchestration patterns including planning, memory, tool use, and collaboration.Develop AI reference architectures (RAG, tool-augmented agents, event-driven workflows).Lead architectural decisions in Agile and SAFe environments.Evaluate and select enterprise-ready AI platforms, LLMs, and orchestration tools.Design secure integrations with APIs, data platforms, and identity systems.Ensure AI governance, privacy, auditability, and human-in-the-loop controls.Provide hands-on leadership through POCs, reviews, and production troubleshooting.Drive DevSecOps, MLOps, and LLMOps adoption.Required Skills & ExperienceBachelor’s or Master’s degree with 10+ years in solution or enterprise architecture.Proven experience delivering enterprise-scale AI/ML or GenAI systems.Deep expertise in agentic AI, LLMs, RAG, and vector databases.Strong cloud experience (Azure preferred) including hybrid architectures.Solid software engineering foundation.Demonstrated knowledge of Responsible AI, governance, and compliance.Excellent stakeholder communication and leadership skills.Skills: rag,ml,ai governance,python,azure,presentation skills,architecture,artificial intelligence,generative ai,communication,large language model,agentic ai,solutioning,cloud,vector databases,langchain