Forward Deployed Engineer

As a Forward Deployed Engineer (FDE) in Applied AI, you are the “Agent Engineer” and the primary driver for our customers’ most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from “Art of the Possible” to real-world business value and scalable, secure AI systems. This is a high-travel, high-impact role focused on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. This role requires a deep understanding of software engineering, Machine Learning Operations, and cloud infrastructure. Job responsibilities Serve as the lead developer for complex Conversational AI and CX applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI. Architect and code conversational flows that are not just functional, but optimized for the “connective tissue” between clients Conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters. Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking. Identify repeatable field patterns and technical “friction points” in AAI stack, converting them into reusable modules or product feature requests for Engineering teams. Co-build with customer engineering teams to instill grade development best practices, ensuring long-term project success and high end-user adoption., The Team The Innovation & Delivery Transformation (I&DT) team is building the future of Deloitte’s business through new AI-native platforms and products. The team is responsible …

• 16 hours ago +

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 5 years of experience with software development using Python or similar coding languages. Experience architecting AI systems on cloud platforms (e.g., GCP). Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking. Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects. Preferred qualifications Master’s or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks like ReAct and self-reflection. Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time. Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations. Track record of troubleshooting live, high-traffic systems during critical windows. Ability to travel up to 50% of the time.

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.