Forward Deploy Engineer - AI Solutions

Job Title: Forward Deploy Engineer - AI Solutions Company: Wits Innovation Lab Job Category: Salesforce Roles & Responsibilities: Responsibilities * Collaborate directly with enterprise clients and internal stakeholders to deeply understand business goals, operational workflows, data landscapes, and technical constraints. * Design, build, and deploy AI\-driven solutions, integrating core AI platforms into customer systems and workflows. * Translate complex business problems into viable AI solutions, focusing on where AI agents can augment or replace manual processes. * Develop and maintain robust, scalable AI\-powered systems, ensuring efficiency, reliability, and seamless integration with existing IT frameworks. * Implement multi\-agent systems and advanced AI solutions, utilizing techniques such as prompting, memory management, tool usage, and behaviour planning with Large Language Models (LLMs). * Rapidly prototype and productionize solutions, working with client teams to whiteboard concepts, build prototypes, and iterate quickly based on feedback. * Build connectors and data pipelines for secure and efficient data flow between client systems and AI platforms. * Act as a technical solutions expert, providing troubleshooting, analysis, and support for AI\-driven architectures. * Provide training, documentation, and enablement to client business and operations teams, fostering self\-sufficiency and adoption of AI tools. * Serve as a critical feedback loop to internal product and engineering teams, influencing the roadmap based on customer insights and real\-world deployment challenges. Work Location: Noida, India Availability: Full time

Technical Skills * Strong Programming Language Proficiency: Expert\-level skills in at least one modern programming language (e.g., Python, Java). * Strong AI Literacy: Demonstrable understanding of AI/ML fundamentals, including concepts like LLMs, RAG (Retrieval Augmented Generation), embeddings, and vector databases. * Hands\-on experience with cloud platforms (AWS/GCP/Azure), including familiarity with MLOps tooling. * Experience with API design and integration for AI services and enterprise systems (e.g., Salesforce, ServiceNow). * Solid understanding of software development lifecycle (SDLC) best practices and agile methodologies. Good to Have * Agentic AI hands\-on experience: Practical experience in designing, building, and deploying AI agents or multi\-agent systems that exhibit autonomous, proactive, and adaptive behaviours. * Familiarity with containerization technologies (Docker, Kubernetes). * Experience with data analytics and visualization tools. * Prior experience in the commercial real estate or adjacent industries. Key Skills: Salesforce Salary: Not disclosed