Forward Deployed Engineer 2
Synapse Analytics
Forward Deployed Engineer 2
Synapse Analytics
On-premises AI decisioning for regulated finance
As a Forward Deployed Engineer at Synapse Analytics, you will own the technical success of our product deployments inside banking and enterprise client environments. You will work directly with client IT, infrastructure, security, data, and business teams to design deployment architectures, build integrations, document APIs, create client-specific technical artifacts, and manage the lifecycle of deployed environments.
This role sits at the intersection of product engineering, delivery, infrastructure, and customer solutions. You will not only deploy Synapse products; you will engineer the bridge between Synapse’s AI products and the real-world systems used by banks and enterprise clients.
Own the technical implementation and lifecycle of Synapse products in client environments, especially banks, on-premise environments, and restricted or air-gapped infrastructure.
Design client-specific deployment architectures, including network topology, security requirements, integration points, data flow, API exposure, and operational ownership.
Create and maintain technical artifacts for client deployments, including:
API documentation
architecture diagrams
integration guides
deployment runbooks
environment handover documents
update and rollback procedures
Build and maintain client-specific integration components where needed, including adapters, connectors, scripts, APIs, and workflow bridges between Synapse products and client systems.
Support integrations with enterprise banking infrastructure such as:
core banking systems
internal APIs
data warehouses
Kafka or other messaging systems
Oracle / SQL Server databases
legacy systems
identity and access systems
Lead deployment and orchestration of Synapse Analytics’ applications on client infrastructure using Docker, Kubernetes, Linux, and related tooling.
Manage updates, upgrades, patches, configuration changes, and rollout plans for client-specific environments after go-live.
Troubleshoot complex client-side technical issues involving networking, firewalls, VPNs, proxies, load balancers, certificates, authentication, encryption, and restricted enterprise environments.
Work closely with Product Engineering, DevOps, and Delivery teams to ensure Synapse Analytics’ products are deployable, supportable, secure, and well-integrated in client environments.
Identify repeated client-specific integration or deployment patterns and convert them into reusable product, platform, or delivery improvements.
Participate in technical discovery with Delivery teams to assess feasibility, implementation complexity, risks, and required client infrastructure before commitments are made.
Provide technical guidance to junior engineers and help standardize deployment, integration, documentation, and support practices.
Participate in an on-call or escalation rotation for critical client-facing production environments, according to agreed support boundaries and SLAs.
On-premises AI decisioning for regulated finance
Synapse Analytics builds agentic decisioning infrastructure for regulated financial institutions, enabling banks, NBFIs, and fintechs to create, simulate, version, and deploy decisioning policies for onboarding, credit, fraud, and AML, while keeping data within the customer’s perimeter. The platform runs on-premises, in private/public or sovereign clouds, or in fully air-gapped environments, allowing deployment across the Middle East, Africa and Latin America. It differentiates itself by prioritizing on-premises and air-gapped deployments for sensitive data instead of cloud-only solutions, and supports multiple deployment models within scalable policy ecosystems. The company’s goal is to scale the product, accelerate development, and expand internationally to continue serving regulated institutions with trusted AI-driven decisioning.
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