AI Solutions Deployment Engineer

As a Forward Deployed Engineer, your role involves organizing the deployment of AI workflows and architectures across diverse AI and technology platforms. You will facilitate solution design across the enterprise technology stack to integrate into the ecosystem of AI models and multi-provider platforms. Key Responsibilities: - Design and develop AI-powered applications and intelligent workflows. - Analyze business problems and translate requirements into scalable AI solutions. - Build and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources and vector databases. - Develop AI agents and workflow orchestration solutions for business process automation. - Design prompt engineering, evaluation, and guardrail frameworks for enterprise AI applications. - Integrate AI solutions with enterprise platforms and business applications. - Collaborate with cross-functional teams to deliver scalable and reliable solutions. - Troubleshoot, optimize, and enhance AI applications in production environments. - Contribute to reusable frameworks, accelerators, and engineering best practices. Qualifications Required: - Strong hands-on experience in Python. - Experience building AI-powered applications using Large Language Models (LLMs). - Experience with Agentic AI, workflow orchestration, and automation frameworks. - Experience with RAG, embeddings, vector databases, and semantic search. - Understanding of prompt engineering, model evaluation, and AI application development. - Experience integrating enterprise applications through APIs and microservices. - Strong analytical thinking, problem-solving, and solutioning skills. - Ability to translate business requirements into technical solutions. - Strong communication and stakeholder management skills. The candidate should have a minimum of 5 years of overall professional experience. Experience in AI/ML, intelligent automation, or related domains is preferred. A 15 years full-time education is also required. The mentioned additional details of the company in the job description are omitted as they focus primarily on the required skills, responsibilities, and qualifications for the Forward Deployed Engineer role. As a Forward Deployed Engineer, your role involves organizing the deployment of AI workflows and architectures across diverse AI and technology platforms. You will facilitate solution design across the enterprise technology stack to integrate into the ecosystem of AI models and multi-provider platforms. Key Responsibilities: - Design and develop AI-powered applications and intelligent workflows. - Analyze business problems and translate requirements into scalable AI solutions. - Build and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources and vector databases. - Develop AI agents and workflow orchestration solutions for business process automation. - Design prompt engineering, evaluation, and guardrail frameworks for enterprise AI applications. - Integrate AI solutions with enterprise platforms and business applications. - Collaborate with cross-functional teams to deliver scalable and reliable solutions. - Troubleshoot, optimize, and enhance AI applications in production environments. - Contribute to reusable frameworks, accelerators, and engineering best practices. Qualifications Required: - Strong hands-on experience in Python. - Experience building AI-powered applications using Large Language Models (LLMs). - Experience with Agentic AI, workflow orchestration, and automation frameworks. - Experience with RAG, embeddings, vector databases, and semantic search. - Understanding of prompt engineering, model evaluation, and AI application development. - Experience integrating enterprise applications through APIs and microservices. - Strong analytical thinking, problem-solving, and solutioning skills. - Ability to translate business requirements into technical solutions. - Strong communication and stakeholder management skills. The candidate should have a minimum of 5 years of overall professional experience. Experience in AI/ML, intelligent automation, or related domains is preferred. A 15 years full-time education is also required. The mentioned additional details of the company in the job description are omitted as they focus primarily on the required skills, responsibilities, and qualifications for the Forward Deployed Engineer role.