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The Forward Deployed Engineer (FDE) will be a critical bridge between the product development team and the enterprise customers.
This role requires a unique blend of deep technical expertise in AI/ML, cloud deployments, and exceptional communication skills to deliver successful outcomes for complex, agentic AI solutions.
The FDE will be responsible for customer-facing engagements, demonstrating the power of the platform, and leading proof-of-concept initiatives, while also managing diverse technical teams.
Experience: 10+ years
The Forward Deployed Engineer (FDE) will be a critical bridge between the product development team and the enterprise customers.
This role requires a unique blend of deep technical expertise in AI/ML, cloud deployments, and exceptional communication skills to deliver successful outcomes for complex, agentic AI solutions.
The FDE will be responsible for customer-facing engagements, demonstrating the power of the platform, and leading proof-of-concept initiatives, while also managing diverse technical teams.
Solution Design: Presenting the platform's capabilities, understanding customer requirements, architecting solutions, and guiding successful deployments in diverse enterprise environments.
Deployments: Customer-Facing Platform & Deployment Expertise.
Customer Interaction: Lead and execute technical POCs for agentic AI solutions, showcasing the value and potential of the platform.
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This involves collaborating closely with customer stakeholders to define success criteria, designing and implementing bespoke agent configurations, and demonstrating quantifiable business impact
Agent Orchestration: Architect agent orchestration solutions aligned with customer requirements, ensuring timely implementation and delivery.
Platform Development: Develop resilient, scalable, and high-performance platforms and tools to support product evolution and seamless production deployment.
Collaboration: Manage and mentor both offshore and onshore technical personnel involved in deployments, integrations, and POCs.
Foster a collaborative environment, ensure consistent technical standards, and drive efficient project execution across geographically dispersed teams.
Performance Optimization: Optimize the platform and infrastructure for performance, scalability, and cost-efficiency.
Best Practices: Establish and enforce best practices for code quality, model versioning, experimentation tracking, and FinOps, TechOps, MLOps, AIOps, for Agentic AI.
Mentorship & Guidance: Provide technical leadership and mentorship to junior AI engineers and researchers.
Innovation & Research: Stay abreast of the latest advancements in AI research and actively explore new techniques and tools to enhance our capabilities.
Documentation: Create comprehensive technical documentation for architectures, models, and processes.
Ability and willingness to travel, up to 80% to client locations
Strong AI/ML Acumen: Deep understanding of AI/ML concepts, methodologies, and frameworks.
with agentic AI, LLMs, machine learning pipelines, and model deployment strategies is highly desirable.
Cloud Deployment Expertise: Extensive hands-on experience with any of the major cloud platforms (AWS, GCP, Azure), including infrastructure-as-code, containerization (Docker, Kubernetes), serverless architectures, and managed AI/ML services.
Customer Engagement & Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Proven ability to build strong customer relationships and drive successful outcomes.
Problem-Solving & Adaptability: Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical issues in real-time.
Comfortable working in fast-paced, dynamic environments with evolving customer needs.
Project Management Fundamentals: Ability to manage multiple projects concurrently, prioritize tasks, and deliver results within agreed-upon timelines.
Relevant Experience: [Specify desired years of experience, e.g., 5+ years] in a customer-facing technical role, such as Solutions Architect, or Forward Deployed Engineer, with a focus on Agentic AI or complex software deployments.
Onsite
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