Senior Forward Deployed Engineer

Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Your Role And Responsibilities As a seasoned Forward Deployed Engineer specializing in Artificial Intelligence, you will leverage your expertise in combining data analysis and business acumen to tackle complex cognitive computing challenges. Your strong foundation in AI, NLP, and ML will enable you to deliver comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data. Your Primary Responsibilities Will Include Architect AI Solutions: Design and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, utilizing tools like Github Copilot and Amazon Code Whisperer. Develop Cognitive Computing Systems: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, leveraging expertise in NLP, ML, and AI frameworks such as TensorFlow, PyTorch, and Keras. Collaborate on AI Projects: Work on full AI project lifecycle, from research and prototyping to deployment in production environments, utilizing cloud platforms, relational and NoSQL databases, and modern UI frameworks. Drive AI Innovation: Pioneer innovative AI solutions, leveraging strong programming skills in Python and experience with AI frameworks, to solve complex business problems and drive cognitive computing advancements. Optimize AI Systems: Guide the optimization of AI systems, ensuring effective usage of libraries such as SciKit Learn, Pandas, and Matplotlib, and familiarity with cloud platforms and related services. Required Technical And Professional Expertise Demonstrated leadership of production agent deployments: orchestration architecture (multi-agent coordination, tool routing, state, retries, HITL), reliability, and scale MCP architecture: designing MCP servers and tools as the integration backbone for agents Output-evaluation frameworks owned at a leadership level: eval strategy, golden datasets, LLM-as-judge, regression/CI evals, guardrails, and production monitoring of agent quality Expert Python; OpenAI API + Codex (or equivalent) / OpenAI Agents SDK; event-driven systems; workflow automation; observability/tracing Integration architecture into enterprise systems of record Preferred Technical And Professional Experience Experience defining org-wide standards for how agents are built and orchestrated Track record taking agents from prototype to proven production operation