AI Forward Deployed Engineer..100% remote
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.
Job Description
Title:
Forward
Deployed Engineer Location: Remote Start Date /
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.