Forward Deployed Engineer - AI , GCP

5+ years of Python and REST API engineering 2+ years hands-on with AI agentic coding and prompt engineering 3+ years across GCP infrastructure and Vertex AI / GECX Suite AI and agentic systems: RAG architectures, agentic AI frameworks, AI agent development and coding, prompt engineering, semantic search, ML pipelines, TensorFlow, Scikit-learn, automated AI evaluation frameworks GCP and infrastructure: Compute Engine, Cloud Run, Cloud Functions, BigQuery, Vertex AI, Pub/Sub, Kubernetes, Docker, Terraform, IAM Languages beyond Python: TypeScript / Node.js, Go, Java / Spring Boot Backend and integration: microservices, REST / GraphQL APIs, Kafka, RabbitMQ, GCP Pub/Sub, PostgreSQL, MongoDB, Redis Production and SRE: SRE practices, incident response, Root Cause Analysis (RCA), observability and distributed tracing with Datadog, Sentry, New Relic Security and compliance: HIPAA, PCI-DSS, RBAC, JWT / API security Proven agents you personally built and put into production, not prototypes Range to move from an executive conversation to a debugging session the same afternoon Nice-to-Have Advanced RAG technique - re-ranking, hybrid search, context optimization Technical workshop facilitation Enterprise stakeholder management GitHub and JSON data handling AI evaluation frameworks and agent testing

Lead customer-facing technical workshops and surface business and technical requirements before you’re asked for them Convert what you hear into agent conversation flows, escalation paths, and defined agent capabilities Set acceptance criteria with the customer up front rather than at the end Build Take GECX agents from blank page to full end-to-end implementation Write the prompt engineering solutions and RAG pipelines behind them Stand up API integrations and the GCP infrastructure they run on Build automated evaluation frameworks that demonstrate the agent actually works Ship and sustain Own production deployments, with cutover plans and risks flagged to stakeholders ahead of time Watch production systems, chase down issues, run RCA, and see stabilization through Explain what broke in language that lands with engineering teams and executives alike Hand off Train customer teams so they can run and maintain their agents without you Carry the delivery lifecycle from initial discovery to a stable production footprint Not a Fit If You haven’t personally built and deployed AI agents that run in production Your GCP background is theoretical rather than hands-on engineering Your AI and agentic development work has stayed at proof-of-concept depth Communication and stakeholder-facing work isn’t a strength Working directly with enterprise customers and executive stakeholders isn’t something you want Founded in 2014, is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry. ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.