## Lead AI EngineerApplylocations: Punetime type: Full timeposted on: Posted Todayjob requisition id: R0004957Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!**Job Description**Design, build, and scale enterprise-grade AI/GenAI solutions that automate business processes, enhance decision-making, and deliver measurable business outcomes. The role focuses on developing AI-powered applications, intelligent workflows, and integrations by combining enterprise systems, data, APIs, and modern AI technologies in a secure, scalable, and production-ready environment.**Responsibilities*** Design, develop, and deploy AI/GenAI applications, RAG pipelines, and intelligent workflow automation* Build backend services, APIs, integrations, and orchestration frameworks using LLMs, model APIs, and enterprise data.* Develop AI-powered knowledge assistants, workflow automation, and decision support solutions.* Leverage AI-assisted development while ensuring code quality, security, reliability, observability, and governance.* Define evaluation frameworks to measure AI quality, accuracy, latency, and system performance.* Collaborate with business, IT, Security, Data, HR, and Finance teams to identify and deliver high-value AI use cases.* Prototype rapidly and scale solutions into secure, production-ready deployments.* Optimize AI solutions for performance, scalability, reliability, and cost.* Develop reusable AI components, frameworks, and best practices to accelerate enterprise adoption.**Required Qualifications*** 7–12+ years of experience in Software Engineering, AI/ML, or GenAI application development.* Proven experience building and deploying production-grade AI/GenAI solutions.* Strong expertise in Python, backend development, APIs, system integration, and workflow orchestration.* Hands-on experience with RAG, LLMs, prompt engineering, tool/agent calling, AI evaluation, and observability.* Experience integrating enterprise applications, data platforms, and services using APIs and event-driven architectures.* Strong analytical, systems thinking, and problem-solving skills with the ability to translate ambiguous business problems into scalable AI solutions.**Preferred Qualifications*** Experience with vector databases, embeddings, semantic search, and advanced RAG architectures.* Knowledge of SQL, data engineering, and data pipelines.* Experience integrating AI into enterprise applications and business workflows.* Exposure to intelligent agents, automation platforms, and AI governance frameworks.* Experience building reusable AI frameworks, accelerators, or enterprise AI platforms.