10-12+ years of technical engineering experience in AI/ML systems, hardware/software co-design, performance engineering, or cloud solutions, with a proven track record of shipping large-scale, cloud-based AI services.
Deep Technical Expertise:
Expertise in AI/ML concepts, particularly Generative AI, Large Language Models (LLMs), RAG pipelines, and model optimization techniques (e.g., quantization, parallelism). Proficiency in programming languages like Python, C#, C++, or Java, with a comfort level in hands-on coding for prototyping and reviews. Deep understanding of cloud platforms, distributed systems, high availability, scalability, and performance optimization.
Translate business needs into AI workflows by partnering with Finance , IT and Business Operations teams to identify automation opportunities and design agentic workflows that improve decision making and reduce manual effort. Develop and maintain Model Context Protocols (MCPs) that securely and reliably connect enterprise systems (SAP, SNOW, Supply chain systems etc) with clear documentation and optimization.
Create and manage intelligent agents that execute or augment core enterprise processes such as onboarding, billing support, and compliance monitoring using large language models and orchestration frameworks.
Govern the full lifecycle of MCPs and agents, ensuring adherence to enterprise data governance, privacy, and security standards, including SOX compliance, auditability, and appropriate access controls.
Demonstrated experience building and maintaining systems with a strong grasp of APIs, JSON, and RESTful service design. Hands-on knowledge of AI agent frameworks (for example LangChain, AutoGen, Semantic Kernel, MCP) and experience designing or maintaining Model Context Protocols or equivalent frameworks. Familiarity with leading LLM platforms (OpenAI, Anthropic, Model Context Protocol (MCP), and Agent-to-Agent (A2A) communication etc.) and practical experience with prompt engineering.
Proficiency in Python or JavaScript for automation, orchestration, and building modular, scalable AI workflows that translate complex requirements into executable solutions. Strong documentation, analytical, and stakeholder communication skills, with the ability to clearly explain tradeoffs and align technical solutions with business needs.
Passion for building secure, compliant, and explainable AI systems, embedding risk, privacy, and compliance considerations (including SOX and audit controls) into every solution, with a growth mindset and focus on clarity, iteration, and measurable outcomes. Proven experience driving complex, cross-functional initiatives and leading without direct authority across multiple teams.
Exceptional communication and presentation skills, with the ability to translate highly technical concepts for executive audiences and external customers. High tolerance for ambiguity and the ability to drive clarity and results in fluid situations
Never miss an opportunity! Create an alert based on the job you applied for.
