AI Forward Deployed Engineer

Forward Deployed Engineer

CORE SKILLS AI/ML & LLM Systems: RAG architectures, agentic AI frameworks, semantic search, ML pipelines, TensorFlow, scikit-learn Cloud & Infra: GCP (Compute Engine, Cloud Run, Cloud Functions, BigQuery, Vertex AI, Pub/Sub), Kubernetes, Docker, Terraform Languages: Python, TypeScript/Node.js, Go, Java (Spring Boot) Backend & Integration: Microservices, REST/GraphQL, Kafka, RabbitMQ, GCP Pub/Sub, PostgreSQL, MongoDB, Redis Production Excellence: SRE practices, incident response, RCA, observability (DataDog, Sentry, New Relic), distributed tracing Compliance: HIPAA, PCI-DSS, RBAC, JWT security Customer-Facing: Escalation management, troubleshooting, stakeholder communication under pressure Work setup: 100% Remote role supporting Google enterprise customers. Reason for opening: Direct delivery lifecycle ownership embedding AI solutions into customer systems. Deliverables: End-to-end implementation of GECX agents, prompt engineering, RAG pipelines, and automated evaluation frameworks. Expectations: Must be comfortable leading stakeholder workshops and presenting architectures to both executive sponsors and engineering teams.

TOP HARD SKILLS Python & REST API Engineering (5+ years) AI Agentic Coding & Prompt Engineering (2+ years) GCP Infrastructure & Vertex AI/GECX Suite (3+ years) NICE-TO-HAVES Advanced RAG (re-ranking, hybrid search, context optimization) Technical Workshop Facilitation Cloud Run & BigQuery experience DISQUALIFIERS Lack of experience building and shipping unsupervised AI agents in production. Weak communication skills or inability to interface directly with enterprise clients/executives. No hands-on engineering experience within the Google Cloud Platform (GCP) ecosystem.

POSITION OVERVIEW Forward Deployed Engineers are embedded directly with enterprise customers and serve as their primary technical point of contact across the full delivery lifecycle. FDEs own the relationship as much as the technology — translating business needs into AI solutions, anticipating blockers before they surface, and communicating progress with clarity to both executive sponsors and engineering teams. This is a customer-facing role where technical excellence and outstanding communication are equally non-negotiable.

DAY-TO-DAY RESPONSIBILITIES · Lead stakeholder workshops, ask the right questions proactively, document requirements before the customer thinks to ask, and establish trust from day one. · Translate business needs into conversation flows, escalation paths, and agent skill boundaries, presenting options clearly to all sponsors and teams. · Implement GECX agents end-to-end including prompt engineering, RAG pipelines, API integrations, and GCP infrastructure while proactively flagging scope risks. · Build automated evaluation frameworks, define acceptance criteria with the customer, and communicate quality status transparently to avoid go-live surprises. · Lead production deployments with clear cutover communications to all stakeholders and brief executive sponsors proactively before they ask. · Stay embedded through stabilization, surface performance insights, communicate incident status in plain language, and train customer teams to own their GECX agents.

TOP 3 REQUIRED SKILLS · Python Engineering & REST APIs (5+ years preferred) · AI & Agentic Coding / Prompt Engineering (2+ years preferred) · GCP Cloud Infrastructure & GECX Suite (3+ years preferred) ADDITIONAL DESIRED SKILLS · Advanced RAG & Context Optimization · Workshop Facilitation & Stakeholder Management · GitHub & JSON Data Handling · Evaluation Frameworks & Agent Testing IDEAL CANDIDATE PROFILE The ideal candidate is an exceptional communicator who translates architecture to executives and debug logs to engineers seamlessly on the same day. They are proactive by default, customer-first minded, and have a proven record as a full-lifecycle owner who has shipped agents running unsupervised in production. They bring deep expertise as a RAG practitioner and are fully fluent in Vertex AI, Cloud Run, BigQuery, and IAM.

About Us: InterSources Inc, a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries. Our history spans over 16 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enable us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud partner company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.