Integration Engineer II - AI and Python Developer

Overview In this role you will design, build, and deploy AI-enabled, cloud-native applications as part of an agile engineering team. You’ll advance AI/ML initiatives and collaborate with product and data teams to move solutions toward production. You’ll work with cutting-edge AI frameworks and maintain a strong focus on reliability, governance, and responsible AI practices. This is a hands-on engineering position at Deloitte’s Engineering as a Service group, offering opportunities to shape enterprise-scale AI solutions for diverse clients. Compensation / Benefitsdiscretionary annual incentive programprofessional development opportunities ResponsibilitiesSupport AI and emerging technology initiatives across business and technology teamsHands-on work with AI/ML, Generative AI, and agentic AI solutionsDevelop and prototype AI use cases solving real business problemsEvaluate foundation models, LLMs, and modern AI frameworksContribute to RAG, memory systems, tool use, and function-calling patternsSupport multi-agent workflows and autonomous AI capabilitiesAssist with AI experimentation, proof-of-concepts, and testingPartner with data, engineering, and business teams to move AI solutions toward productionSupport MLOps, AI Ops, deployment, monitoring, and CI/CD practicesCommunicate technical AI concepts clearly to technical and non-technical audiencesPromote responsible AI practices including ethics, governance and bias mitigationCollaborate with product managers, designers, and engineers to translate requirements into solutionsIdentify, diagnose, and resolve bugs and performance issues in development and production environmentsAssist in breaking down technical requirements into well-scoped tasks and estimates Key requirements4+ years of professional software engineering with Python and ReactJS3+ years of full system lifecycle development1+ years’ experience in AI/ML, Generative AI, or advanced analytics2+ years’ experience in ML fundamentals and model evaluation1+ years’ experience in LLMs, prompt engineering, fine-tuning, and multimodal AI2+ years in a client-facing development role or external stakeholder engagementFamiliarity with agentic frameworks like LangChain, Strands, or Crew AI1+ years’ experience with vector databases, RAG, and tool/function calling1+ years’ experience with Cloud AI platforms such as AWS Bedrock; Azure or GCP a plusStrong understanding of MLOps and CI/CD for AI solutionsStrong verbal and written communication for team collaborationBachelor’s degree in computer science, Engineering, or a related disciplineAbility to travel up to 50%Authorized to work in the United States without sponsorship now or in the futureEffective written and verbal communicationMeticulous attention to detailAbility to manage multiple tasks in a fast-paced environmentPythonReactJSAI/ML